Shape the Future of AI &amp; Data with UsAs Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.<h3>Your Mission</h3>As Delivery Manager, you’ll assist with the successful delivery of the company’s projects across AI, Analytics and Engineering on Google Cloud. This position will suit a passionate Agile advocate with proven experience in a delivery or project manager role managing the full delivery cycle. You will work closely with the Account Manager and Technical Lead, as well as the project team, in ensuring that we are providing our clients with high-value data and AI transformation projects and programmes, from initial solution design and SOW creation through delivery and business value realisation.<h3>What You’ll Do</h3><ul style="min-height:1.5em"><li>Programme Execution &amp; Value Realization:<ul style="min-height:1.5em"><li>Lead the execution of small and medium-sized data and AI transformation projects ensuring on-time, on-budget, and high-quality delivery</li><li>Proactively working with the project team in linking technical deliverables directly to measurable business outcomes and tracking value realisation post-deployment</li><li>Apply and improve appropriate delivery methodologies (Agile, hybrid, Waterfall) suitable for large enterprise environments, acting as a change agent within the client's organisation</li></ul></li><li>Financial &amp; Commercial Ownership:<ul style="min-height:1.5em"><li>Take full financial ownership of the project budget, forecasting resources and revenue, tracking resource burn rate, and driving high margins and profitability</li><li>Own account health, proactively identifying and managing key stakeholders, financial forecasts, and strategic risks (RAID management) across the entire portfolio, and working with the project team to identify renewals and upselling opportunities to grow the account</li></ul></li><li>Executive Stakeholder Management:<ul style="min-height:1.5em"><li>Demonstrate strong communication and expectation management with technical project team members, with the ability to seamlessly translate between technical and business stakeholders</li><li>Manage communications and expectations at the executive and C-suite levels (client-side and internal), maintaining high levels of customer satisfaction and trust.</li><li>Apply effective project governance systems appropriate for the size of the enterprise engagements</li></ul></li><li>Team &amp; Organizational Development:<ul style="min-height:1.5em"><li>Contribute to process, operational efficiency, and excellence within the Delivery function, continually challenging how we operate in the efforts of evolving our project management frameworks.</li></ul></li></ul><h3>What You’ll Bring</h3><ul style="min-height:1.5em"><li>Project management/delivery management experience some of which are within a management consultancy, SaaS provider or tech start-up.</li><li>Previous experience with data and/or analytics projects, ML/AI and/or public cloud.</li><li>Proven various-level stakeholder management experience (client-side and internal).</li><li>Experience in the pre-sales and commercial process, including understanding of knowledge of SOW creation, deal structuring, and managing scope through contracts</li><li>Deep understanding of Agile and hybrid ways of working</li><li>Experience with JIRA or similar ITS software.</li><li>A natural, engaging, and highly effective communicator and negotiator.</li><li>Desire to join a diverse, multinational team of ML &amp; AI enthusiasts.</li><li>Passion for innovative technological solutions.</li></ul><h3>Bonus Points If You Have:</h3><ul style="min-height:1.5em"><li>Prior experience in start-up / scale-up.</li><li>Multi-lingual (especially but not limited to German and French).</li><li>Agile Project Management, or Scrum certification.</li></ul> <h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h3>Why Datatonic?</h3>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

Shape the Future of AI & Data with Us

As Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.


YOUR MISSION

As Delivery Manager, you’ll assist with the successful delivery of the company’s projects across AI, Analytics and Engineering on Google Cloud. This position will suit a passionate Agile advocate with proven experience in a delivery or project manager role managing the full delivery cycle. You will work closely with the Account Manager and Technical Lead, as well as the project team, in ensuring that we are providing our clients with high-value data and AI transformation projects and programmes, from initial solution design and SOW creation through delivery and business value realisation.


WHAT YOU’LL DO

 - Programme Execution & Value Realization:
   
   - Lead the execution of small and medium-sized data and AI transformation projects ensuring on-time, on-budget, and high-quality delivery
   
   - Proactively working with the project team in linking technical deliverables directly to measurable business outcomes and tracking value realisation post-deployment
   
   - Apply and improve appropriate delivery methodologies (Agile, hybrid, Waterfall) suitable for large enterprise environments, acting as a change agent within the client's organisation

 - Financial & Commercial Ownership:
   
   - Take full financial ownership of the project budget, forecasting resources and revenue, tracking resource burn rate, and driving high margins and profitability
   
   - Own account health, proactively identifying and managing key stakeholders, financial forecasts, and strategic risks (RAID management) across the entire portfolio, and working with the project team to identify renewals and upselling opportunities to grow the account

 - Executive Stakeholder Management:
   
   - Demonstrate strong communication and expectation management with technical project team members, with the ability to seamlessly translate between technical and business stakeholders
   
   - Manage communications and expectations at the executive and C-suite levels (client-side and internal), maintaining high levels of customer satisfaction and trust.
   
   - Apply effective project governance systems appropriate for the size of the enterprise engagements

 - Team & Organizational Development:
   
   - Contribute to process, operational efficiency, and excellence within the Delivery function, continually challenging how we operate in the efforts of evolving our project management frameworks.


WHAT YOU’LL BRING

 - Project management/delivery management experience some of which are within a management consultancy, SaaS provider or tech start-up.

 - Previous experience with data and/or analytics projects, ML/AI and/or public cloud.

 - Proven various-level stakeholder management experience (client-side and internal).

 - Experience in the pre-sales and commercial process, including understanding of knowledge of SOW creation, deal structuring, and managing scope through contracts

 - Deep understanding of Agile and hybrid ways of working

 - Experience with JIRA or similar ITS software.

 - A natural, engaging, and highly effective communicator and negotiator.

 - Desire to join a diverse, multinational team of ML & AI enthusiasts.

 - Passion for innovative technological solutions.


BONUS POINTS IF YOU HAVE:

 - Prior experience in start-up / scale-up.

 - Multi-lingual (especially but not limited to German and French).

 - Agile Project Management, or Scrum certification.






WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Delivery Manager 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Lead Machine Learning Engineer, you will be the technical authority for our most ambitious client projects. You will set the technical vision, guide teams of talented engineers, and translate complex business challenges into cutting-edge AI solutions on Google Cloud. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.This is a hands-on leadership role where you will not only architect solutions but also actively lead client discussions and oversee project delivery from start to finish. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Drive Technical Strategy from Pre-Sales to Delivery: Act as the lead technical authority in high-stakes engagements. You will partner with our commercial team to architect winning solutions, and then lead the delivery of enterprise-grade systems—such as GenAI agents for financial institutions, real-time recommendation engines for global retailers, or predictive maintenance models for the manufacturing sector.</li><li>Architect &amp; Implement Production-Grade Solutions: Own the complete technical lifecycle for your projects. You will design end-to-end ML architectures on GCP, implement robust MLOps pipelines using Infrastructure-as-Code (Terraform), and ensure all solutions—from sophisticated multi-agent systems to classical models—are optimized for performance, scalability, and security.</li><li>Shape Our Technical Standards: Collaborate directly with the Head of Delivery to define the technical DNA of our ML practice, evolving the best practices, architectural patterns, and standards that ensure excellence across the company.</li><li>Lead Strategic Internal Initiatives: Spearhead the development of internal accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders.</li><li>Cultivate Engineering Talent: Formally mentor and coach our junior and mid-level engineers, elevating the team's collective skill set through rigorous code reviews, technical guidance, and career development.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: You have 7+ years of professional experience in machine learning and software engineering, with at least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor).</li><li>Cloud &amp; Systems Architecture Expertise: You possess a proven ability to architect and deploy scalable, production-grade ML solutions on a major cloud platform (GCP is a significant asset). This includes hands-on experience with Infrastructure-as-Code tools (e.g., Terraform) and designing for distributed computing.</li><li>Expert-Level Engineering Craftsmanship: You have deep, hands-on expertise in Python for backend ML systems and a mastery of software engineering best practices (e.g., clean architecture, robust testing, CI/CD). You can fluently design and build REST APIs (e.g., using Flask/FastAPI) and are proficient in SQL for complex data manipulation.</li><li>Consultative Communication &amp; Mentorship: You have an exceptional ability to communicate complex technical concepts to diverse audiences, from C-level stakeholders to junior engineers. You excel at leading technical discussions, presenting solutions, and mentoring teammates to elevate their skills.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Prior experience in a client-facing or consulting role.</li><li>Professional Google Cloud certifications (e.g., Professional Machine Learning Engineer).</li><li>Deep experience with the broader MLOps ecosystem (e.g., Kubeflow, Vertex AI Pipelines, MLflow).</li><li>Experience building interactive demos for ML models (e.g., using Streamlit, Gradio).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul>Salary: CAD 175,000 - 200,000.<h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!<h1>Are you ready to make an impact?</h1>Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Lead Machine Learning Engineer, you will be the technical authority for our most ambitious client projects. You will set the technical vision, guide teams of talented engineers, and translate complex business challenges into cutting-edge AI solutions on Google Cloud. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

This is a hands-on leadership role where you will not only architect solutions but also actively lead client discussions and oversee project delivery from start to finish. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Drive Technical Strategy from Pre-Sales to Delivery: Act as the lead technical authority in high-stakes engagements. You will partner with our commercial team to architect winning solutions, and then lead the delivery of enterprise-grade systems—such as GenAI agents for financial institutions, real-time recommendation engines for global retailers, or predictive maintenance models for the manufacturing sector.

 - Architect & Implement Production-Grade Solutions: Own the complete technical lifecycle for your projects. You will design end-to-end ML architectures on GCP, implement robust MLOps pipelines using Infrastructure-as-Code (Terraform), and ensure all solutions—from sophisticated multi-agent systems to classical models—are optimized for performance, scalability, and security.

 - Shape Our Technical Standards: Collaborate directly with the Head of Delivery to define the technical DNA of our ML practice, evolving the best practices, architectural patterns, and standards that ensure excellence across the company.

 - Lead Strategic Internal Initiatives: Spearhead the development of internal accelerators and reusable frameworks that enhance our delivery capabilities and solidify our position as industry leaders.

 - Cultivate Engineering Talent: Formally mentor and coach our junior and mid-level engineers, elevating the team's collective skill set through rigorous code reviews, technical guidance, and career development.


WHAT YOU’LL BRING

 - Experience: You have 7+ years of professional experience in machine learning and software engineering, with at least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor).

 - Cloud & Systems Architecture Expertise: You possess a proven ability to architect and deploy scalable, production-grade ML solutions on a major cloud platform (GCP is a significant asset). This includes hands-on experience with Infrastructure-as-Code tools (e.g., Terraform) and designing for distributed computing.

 - Expert-Level Engineering Craftsmanship: You have deep, hands-on expertise in Python for backend ML systems and a mastery of software engineering best practices (e.g., clean architecture, robust testing, CI/CD). You can fluently design and build REST APIs (e.g., using Flask/FastAPI) and are proficient in SQL for complex data manipulation.

 - Consultative Communication & Mentorship: You have an exceptional ability to communicate complex technical concepts to diverse audiences, from C-level stakeholders to junior engineers. You excel at leading technical discussions, presenting solutions, and mentoring teammates to elevate their skills.

Bonus Points If You Have:

 - Prior experience in a client-facing or consulting role.

 - Professional Google Cloud certifications (e.g., Professional Machine Learning Engineer).

 - Deep experience with the broader MLOps ecosystem (e.g., Kubeflow, Vertex AI Pipelines, MLflow).

 - Experience building interactive demos for ML models (e.g., using Streamlit, Gradio).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups

Salary: CAD 175,000 - 200,000.


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!


ARE YOU READY TO MAKE AN IMPACT?

Apply now and take your career to the next level.

Lead Machine Learning Engineer 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As an Reinforcement Learning focused Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals with a focus on using and implementing Reinforcement learning on real-world applications. You will know the right tools and approach for an RL or ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Develop Solutions with Reinforcement Learning at a large scale.</li><li>Design and deploy RL solutions from data selection, model training, to productionization.</li><li>Translate Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>Optimisation: Optimise ML/RL solutions for performance and scalability.</li><li>Custom Code: Implement tailored ML/RL code to meet specific needs.</li><li>RL Architecture Design: Create reinforcement learning architectures using Google Cloud tools and services.</li><li>(Bonus!) Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>(Bonus!) MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>(Bonus!) Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Multiple years experience as a Machine Learning Engineer specifically using Reinforcement Learning.</li><li>Prior work on designing and implementing RL algorithms on real world projects (using non-dummy data).</li><li>Experience with data requirements for RL algorithms (quantity, type and schemas)</li><li>A strong understanding of the training procedure and timelines for RL</li><li>Experience with selecting and adapting existing RL models for novel solutions (e.g., SAC, DQN, PPO etc.)</li><li>Familiarity with developing RL algorithms using open source ML libraries (preferably python-based e.g. pytorch or tensorflow)</li><li>Ideally, experience with distributed RL libraries (e.g., Ray RLLib)</li><li>Experience with RL in conjunction with a Computer Vision application or using Computer Vision Data</li><li>Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As an Reinforcement Learning focused Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals with a focus on using and implementing Reinforcement learning on real-world applications. You will know the right tools and approach for an RL or ML use case. You'll be comfortable with model optimization and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Develop Solutions with Reinforcement Learning at a large scale.

 - Design and deploy RL solutions from data selection, model training, to productionization.

 - Translate Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - Optimisation: Optimise ML/RL solutions for performance and scalability.

 - Custom Code: Implement tailored ML/RL code to meet specific needs.

 - RL Architecture Design: Create reinforcement learning architectures using Google Cloud tools and services.

 - (Bonus!) Data Engineering: Ensure efficient data flow between databases and backend systems.

 - (Bonus!) MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - (Bonus!) Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Multiple years experience as a Machine Learning Engineer specifically using Reinforcement Learning.

 - Prior work on designing and implementing RL algorithms on real world projects (using non-dummy data).

 - Experience with data requirements for RL algorithms (quantity, type and schemas)

 - A strong understanding of the training procedure and timelines for RL

 - Experience with selecting and adapting existing RL models for novel solutions (e.g., SAC, DQN, PPO etc.)

 - Familiarity with developing RL algorithms using open source ML libraries (preferably python-based e.g. pytorch or tensorflow)

 - Ideally, experience with distributed RL libraries (e.g., Ray RLLib)

 - Experience with RL in conjunction with a Computer Vision application or using Computer Vision Data

 - Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

Bonus Points If You Have:

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer (Reinforcement Learning) 

<h2>About Us</h2>Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices. Our work spans all major public cloud providers - AWS, Google Cloud Provider, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms.Innovation drives everything we do. Our dedicated R&amp;D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h2>Job Description</h2>We’re looking for an AI Engineer who’s passionate about turning ideas into real-world, production-grade Machine Learning systems. This role is hands-on and technical - you’ll prototype, build, and deploy end-to-end Machine Learning solutions while applying best-in-class engineering, cloud, and MLOps practices.Whether you’re just starting out or already experienced, you’ll contribute to impactful projects, collaborate with clients, and grow your role over time. If you thrive at the intersection of AI, cloud, and real-world problem-solving, you’ll fit right in.<h2>Key Responsibilities</h2><ul style="min-height:1.5em"><li>Translate business challenges into ML opportunities - understand the “why” behind problems and propose solutions that matter.</li><li>Experiment, train, and optimize models, including leveraging the latest in generative AI.</li><li>Engineer for scale - ensure performance, reliability, and efficient use of compute resources.</li><li>Build and maintain data pipelines &amp; MLOps workflows, enabling fast and repeatable iteration cycles.</li><li>Deploy ML solutions on AWS, GCP, or Azure, integrating seamlessly with production systems.</li><li>Write clean, well-structured Python code following modern engineering and CI/CD best practices.</li></ul><h2>Basic Qualifications</h2><ul style="min-height:1.5em"><li>1–3 years of experience in:<ul style="min-height:1.5em"><li>AI or ML Engineering, or</li><li>Software Engineering with a focus on AI/ML</li></ul></li><li>Strong Python skills for backend development</li><li>Experience working with cloud platforms (Google Cloud, AWS, or Azure)</li><li>Hands-on software engineering experience</li><li>Solid understanding of SQL</li><li>Familiarity with ML deployment &amp; web service integration (e.g., FastAPI) </li></ul><h2>Bonus Skills</h2><ul style="min-height:1.5em"><li>Experience in consulting or client-facing roles</li><li>Strong communication and presentation abilities</li><li>Background with GPUs or distributed computing</li><li>Experience with IaC tools (Terraform, Pulumi)</li><li>Machine Learning-related certifications</li></ul> <h2>Why Join Us?</h2>At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.<h2>Benefits we offer include:</h2><ul style="min-height:1.5em"><li>25+ days of vacation, depending on role and progression</li><li>Supplementary and additional health insurance</li><li>50% covered MultiSport membership</li><li>Hybrid working model for flexibility and balance</li></ul>

ABOUT US

Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices.

Our work spans all major public cloud providers - AWS, Google Cloud Provider, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms.

Innovation drives everything we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


JOB DESCRIPTION

We’re looking for an AI Engineer who’s passionate about turning ideas into real-world, production-grade Machine Learning systems. This role is hands-on and technical - you’ll prototype, build, and deploy end-to-end Machine Learning solutions while applying best-in-class engineering, cloud, and MLOps practices.

Whether you’re just starting out or already experienced, you’ll contribute to impactful projects, collaborate with clients, and grow your role over time. If you thrive at the intersection of AI, cloud, and real-world problem-solving, you’ll fit right in.


KEY RESPONSIBILITIES

 - Translate business challenges into ML opportunities - understand the “why” behind problems and propose solutions that matter.

 - Experiment, train, and optimize models, including leveraging the latest in generative AI.

 - Engineer for scale - ensure performance, reliability, and efficient use of compute resources.

 - Build and maintain data pipelines & MLOps workflows, enabling fast and repeatable iteration cycles.

 - Deploy ML solutions on AWS, GCP, or Azure, integrating seamlessly with production systems.

 - Write clean, well-structured Python code following modern engineering and CI/CD best practices.


BASIC QUALIFICATIONS

 - 1–3 years of experience in:
   
   - AI or ML Engineering, or
   
   - Software Engineering with a focus on AI/ML

 - Strong Python skills for backend development

 - Experience working with cloud platforms (Google Cloud, AWS, or Azure)

 - Hands-on software engineering experience

 - Solid understanding of SQL

 - Familiarity with ML deployment & web service integration (e.g., FastAPI)
   


BONUS SKILLS

 - Experience in consulting or client-facing roles

 - Strong communication and presentation abilities

 - Background with GPUs or distributed computing

 - Experience with IaC tools (Terraform, Pulumi)

 - Machine Learning-related certifications





WHY JOIN US?

At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.


BENEFITS WE OFFER INCLUDE:

 - 25+ days of vacation, depending on role and progression

 - Supplementary and additional health insurance

 - 50% covered MultiSport membership

 - Hybrid working model for flexibility and balance

Machine Learning Engineer

<h2>About Us</h2>Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices. Our work spans all major public cloud providers - AWS, Google Cloud Platform, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms.Innovation drives everything we do. Our dedicated R&amp;D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h2>Job Description</h2>We’re looking for a Data Engineer to join our team - someone who’s comfortable working with data pipelines, enjoys solving technical problems, and wants to grow in a modern data engineering environment. Whether you’re early in your career or already bring several years of experience, we’re looking for people with a solid foundation in data warehousing or integrations, experience with Python or Java, and familiarity with tools like Git.<h2>Key Responsibilities</h2><ul style="min-height:1.5em"><li>Develop and optimize data platform solutions</li><li>Support data scientists, analysts, and fellow engineers</li><li>Implement data governance and security best practices</li><li>Monitor and improve data pipeline performance and reliability</li></ul><h2>Basic Qualifications</h2><ul style="min-height:1.5em"><li>Background in Computer Science, Mathematics/Statistics, or a related Engineering field</li><li>Experience working with data integrations</li><li>At least 1–2 years of relevant experience</li><li>Experience in backend software development</li><li>Familiarity with DevOps processes</li><li>Fluent English</li></ul><h2>Bonus Skills</h2><ul style="min-height:1.5em"><li>Experience with cloud platforms</li><li>Knowledge of the modern data stack</li><li>Familiarity with big data technologies (Hadoop, Spark, etc.)</li><li>Basic experience with Infrastructure as Code (Terraform, Pulumi)</li><li>Bash scripting and automation</li><li>Basic experience with Docker or Kubernetes</li></ul><h2>Why Join Us?</h2>At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.<h2>Benefits we offer include:</h2><ul style="min-height:1.5em"><li>25+ days of vacation, depending on role and progression</li><li>Supplementary and additional health insurance</li><li>50% covered MultiSport membership</li><li>Hybrid working model for flexibility and balance</li></ul>

ABOUT US

Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices.

Our work spans all major public cloud providers - AWS, Google Cloud Platform, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms.

Innovation drives everything we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


JOB DESCRIPTION

We’re looking for a Data Engineer to join our team - someone who’s comfortable working with data pipelines, enjoys solving technical problems, and wants to grow in a modern data engineering environment. Whether you’re early in your career or already bring several years of experience, we’re looking for people with a solid foundation in data warehousing or integrations, experience with Python or Java, and familiarity with tools like Git.


KEY RESPONSIBILITIES

 - Develop and optimize data platform solutions

 - Support data scientists, analysts, and fellow engineers

 - Implement data governance and security best practices

 - Monitor and improve data pipeline performance and reliability


BASIC QUALIFICATIONS

 - Background in Computer Science, Mathematics/Statistics, or a related Engineering field

 - Experience working with data integrations

 - At least 1–2 years of relevant experience

 - Experience in backend software development

 - Familiarity with DevOps processes

 - Fluent English


BONUS SKILLS

 - Experience with cloud platforms

 - Knowledge of the modern data stack

 - Familiarity with big data technologies (Hadoop, Spark, etc.)

 - Basic experience with Infrastructure as Code (Terraform, Pulumi)

 - Bash scripting and automation

 - Basic experience with Docker or Kubernetes


WHY JOIN US?

At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.


BENEFITS WE OFFER INCLUDE:

 - 25+ days of vacation, depending on role and progression

 - Supplementary and additional health insurance

 - 50% covered MultiSport membership

 - Hybrid working model for flexibility and balance

Data Engineer

<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data &amp; Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud.This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you.What You’ll Do<ul style="min-height:1.5em"><li>Design &amp; Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies.</li><li>Data Architecture &amp; Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions.</li><li>Guide &amp; Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture.</li><li>Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery.</li><li>Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering:<ul style="min-height:1.5em"><li>Data governance and compliance</li><li>Scalable and efficient data modeling techniques</li><li>Ensuring data quality and integrity</li><li>Data management, security, and privacy best practices</li><li>Establishing optimal workflows and operational efficiencies</li></ul></li><li>Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate:<ul style="min-height:1.5em"><li>Cloud best practices</li><li>Scalable and efficient ingestion strategies</li><li>Feature engineering methodologies</li><li>End-to-end production readiness</li></ul></li><li>Leverage Leading Technologies: Design and implement solutions using key partner technologies, including:<ul style="min-height:1.5em"><li>Google Cloud – BigQuery, Dataflow, Vertex AI, and more</li><li>dbt Labs – Modern analytics engineering and transformation</li><li>Snowflake – Cloud-native data warehousing</li><li>Fivetran – Automated data pipelines for seamless integration</li></ul></li></ul> What You’ll Bring<ul style="min-height:1.5em"><li>Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks</li><li>Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability</li><li>Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in</li><li>Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions</li><li>Analytical &amp; Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach</li><li>Communication &amp; Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers</li><li>Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels</li><li>Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development</li></ul>What’s in It for You?We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul>Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud.

This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you.

What You’ll Do

 - Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies.

 - Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions.

 - Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture.

 - Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery.

 - Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering:
   
   - Data governance and compliance
   
   - Scalable and efficient data modeling techniques
   
   - Ensuring data quality and integrity
   
   - Data management, security, and privacy best practices
   
   - Establishing optimal workflows and operational efficiencies

 - Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate:
   
   - Cloud best practices
   
   - Scalable and efficient ingestion strategies
   
   - Feature engineering methodologies
   
   - End-to-end production readiness

 - Leverage Leading Technologies: Design and implement solutions using key partner technologies, including:
   
   - Google Cloud – BigQuery, Dataflow, Vertex AI, and more
   
   - dbt Labs – Modern analytics engineering and transformation
   
   - Snowflake – Cloud-native data warehousing
   
   - Fivetran – Automated data pipelines for seamless integration

 

What You’ll Bring

 - Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks

 - Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability

 - Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in

 - Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions

 - Analytical & Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach

 - Communication & Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers

 - Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels

 - Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development

What’s in It for You?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 

Why Datatonic?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Principal Data Architect

Shape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h3>Your Mission</h3>Data Engineers at Datatonic work across a wide range of projects, helping clients unlock the full potential of the Modern Data Stack. You’ll bring expertise in our technologies of choice - dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, Pub/Sub - and apply them to solve real client challenges.In this role, you’ll collaborate closely with a Delivery Manager, support project teams, and make hands-on contributions to the codebase where needed. Our Data Engineers combine strong technical skills with a client-focused mindset, ensuring that data solutions are not only well-engineered but also deliver measurable impact.<h3>What You’ll Do</h3><ul style="min-height:1.5em"><li>Foundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.</li></ul><ul style="min-height:1.5em"><li>Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.</li><li>Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.</li><li>Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:<ul style="min-height:1.5em"><li>Transforming, testing, deploying, and documenting data.</li><li>Understanding data modeling techniques.</li><li>Optimising and storing data for warehouse technologies.</li></ul></li><li>Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.</li><li>Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.</li><li>Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.</li><li>Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.</li></ul><h3>What You’ll Bring</h3><ul style="min-height:1.5em"><li>Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).</li></ul><ul style="min-height:1.5em"><li>Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.</li><li>Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.</li><li>Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.</li><li>High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.</li><li>Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).</li><li>Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.</li><li>Project Management: Natural ability to manage multiple initiatives and clients simultaneously.</li><li>SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.</li><li>Business Translation: Experience in translating business requirements into technical solutions.</li><li>Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.</li><li>Leadership: Experience in providing technical guidance and direction on projects.</li><li>Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.</li></ul><h3>Bonus points if you have</h3><ul style="min-height:1.5em"><li>dbt Developer certification</li><li>Google Cloud Professional Data Engineer certification</li><li>Snowflake SnowPro certification</li><li>Experience with Scrum methodology</li><li>Client-Facing Role: Prior experience in a client-facing position</li><li>API Development Experience: Experience building scalable REST APIs using Python or similar technologies.</li></ul>What’s in It for You?We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Google and other training programs</li><li>Regular company off-sites and meetups</li></ul>Why Datatonic?Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Salary: CAD 110,000$ - CAD 140,000$Are you ready to make an impact?Apply now and take your career to the next level.

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

Data Engineers at Datatonic work across a wide range of projects, helping clients unlock the full potential of the Modern Data Stack. You’ll bring expertise in our technologies of choice - dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, Pub/Sub - and apply them to solve real client challenges.

In this role, you’ll collaborate closely with a Delivery Manager, support project teams, and make hands-on contributions to the codebase where needed. Our Data Engineers combine strong technical skills with a client-focused mindset, ensuring that data solutions are not only well-engineered but also deliver measurable impact.


WHAT YOU’LL DO

 - Foundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.

 - Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.

 - Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.

 - Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:
   
   - Transforming, testing, deploying, and documenting data.
   
   - Understanding data modeling techniques.
   
   - Optimising and storing data for warehouse technologies.

 - Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.

 - Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.

 - Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.

 - Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.


WHAT YOU’LL BRING

 - Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).

 - Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.

 - Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.

 - Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.

 - High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.

 - Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).

 - Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.

 - Project Management: Natural ability to manage multiple initiatives and clients simultaneously.

 - SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.

 - Business Translation: Experience in translating business requirements into technical solutions.

 - Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.

 - Leadership: Experience in providing technical guidance and direction on projects.

 - Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.


BONUS POINTS IF YOU HAVE

 - dbt Developer certification

 - Google Cloud Professional Data Engineer certification

 - Snowflake SnowPro certification

 - Experience with Scrum methodology

 - Client-Facing Role: Prior experience in a client-facing position

 - API Development Experience: Experience building scalable REST APIs using Python or similar technologies.

What’s in It for You?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Google and other training programs

 - Regular company off-sites and meetups

Why Datatonic?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Salary: CAD 110,000$ - CAD 140,000$

Are you ready to make an impact?

Apply now and take your career to the next level.




Senior Data Engineer 

AI Solutions LeadWe are looking for a highly technical, hands-on leader to step into a Deputy AI Practice Lead role within our Office of the CTO (OCTO). Working under our Global Head of AI, you will architect and deliver our next generation of AI Solutions, IP, and Service Offerings. Initially, your focus will be dedicated to driving internal change and technical delivery of our AI assets - building the tools and IP that scale our practice. Over time, this role will grow into a broader client facing solutions role. You will own the creation of our AI IP and internal accelerators, while acting as the technical authority and mentor for our engineering hub in Zagreb to ensure local delivery aligns with our global technical and consulting standards. The Role<ul style="min-height:1.5em"><li>Build, productionize and ensure global adoption of our growing roadmap of internally and externally facing AI solutions, agents, IP, and products.</li><li>Build out the core intellectual property, delivery frameworks, and reusable code templates that solidify our position as industry leaders.</li><li>Define how we adopt, build with, and go to market with the latest Google AI product releases.</li><li>In time, work with the Head of AI and OCTO leadership to define the long-term AI strategy of the whole business, aligning AI technical capabilities to company strategic goals.</li><li>In time, work with the Head of AI to create service offerings and associated technical architectures, such as developing a comprehensive "AgentOps Platform" technical framework, architecture and pitch deck. Coach the wider engineering and sales team on how to pitch and implement these offerings.</li><li>Collaborate with the Talent team to support the growth of the Machine Learning Engineering team in the region (e.g. interviewing key hires).</li><li>Establish an engineering culture of excellence, curiosity, and rapid learning. Help mentor and coach the Machine Learning Engineering team in the region, aligning them to global technical and consulting standards (code reviews, technical guidance).</li><li>While starting with a heavy internal focus, you will gradually partner with the sales team to support presales engagements, and with the engineering team to guide technical delivery on client projects.</li></ul>Bonus points if you have+ Prior experience in a client-facing or consulting role.+ Experience building and leading multidisciplinary AI teams, including engineers and data scientists+ Business acumen with an understanding of go-to-market

AI Solutions Lead

We are looking for a highly technical, hands-on leader to step into a Deputy AI Practice Lead role within our Office of the CTO (OCTO). Working under our Global Head of AI, you will architect and deliver our next generation of AI Solutions, IP, and Service Offerings.

Initially, your focus will be dedicated to driving internal change and technical delivery of our AI assets - building the tools and IP that scale our practice. Over time, this role will grow into a broader client facing solutions role.

You will own the creation of our AI IP and internal accelerators, while acting as the technical authority and mentor for our engineering hub in Zagreb to ensure local delivery aligns with our global technical and consulting standards.

The Role

 - Build, productionize and ensure global adoption of our growing roadmap of internally and externally facing AI solutions, agents, IP, and products.

 - Build out the core intellectual property, delivery frameworks, and reusable code templates that solidify our position as industry leaders.

 - Define how we adopt, build with, and go to market with the latest Google AI product releases.

 - In time, work with the Head of AI and OCTO leadership to define the long-term AI strategy of the whole business, aligning AI technical capabilities to company strategic goals.

 - In time, work with the Head of AI to create service offerings and associated technical architectures, such as developing a comprehensive "AgentOps Platform" technical framework, architecture and pitch deck. Coach the wider engineering and sales team on how to pitch and implement these offerings.

 - Collaborate with the Talent team to support the growth of the Machine Learning Engineering team in the region (e.g. interviewing key hires).

 - Establish an engineering culture of excellence, curiosity, and rapid learning. Help mentor and coach the Machine Learning Engineering team in the region, aligning them to global technical and consulting standards (code reviews, technical guidance).

 - While starting with a heavy internal focus, you will gradually partner with the sales team to support presales engagements, and with the engineering team to guide technical delivery on client projects.

Bonus points if you have

+ Prior experience in a client-facing or consulting role.

+ Experience building and leading multidisciplinary AI teams, including engineers and data scientists

+ Business acumen with an understanding of go-to-market

AI Solutions Lead

Client PartnerShape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.🚀 The Mission: Driving Enterprise TransformationWe are a rapidly scaling Data &amp; AI consultancy, and we are looking for a Senior Client Partner to join our team. This is not a standard account management role. We seek a strategic leader who thrives on long-term, transformational journeys with enterprise clients, delivering multi-million-pound engagements that redefine their business through data and AI.You will be the commercial and strategic nexus of our significant client relationships. This role requires exceptional experience in navigating complex corporate landscapes and a desire to be an owner in a fast-paced, high-growth scale-up environment. If chaos and change excite you, and you have a proven track record of selling and expanding huge pieces of technical work, let’s talk.🎯 What you will deliverAs a Senior Client Partner, your focus is on driving strategic revenue through deeply embedded, high-value relationships:Own the Transformation Pipeline: Strategically identify, qualify, and land new enterprise clients, demonstrating where our Data &amp; AI expertise can deliver unprecedented, measurable business value.Deepen Enterprise Accounts: Develop and execute comprehensive 1-3 year account plans for existing clients, proactively mapping out the next phase of their transformation journey and expanding our footprint through strategic follow-on engagements.Navigate the C-Suite: Establish and maintain trusted-advisor relationships with C-level and SVP stakeholders across technology, product, finance, and business units, acting as the commercial lead for all Master Services Agreements (MSAs) and strategic contract negotiations.Commercial Leadership &amp; Value Realisation: Ensure every piece of work (new and existing) is scoped, priced, and delivered to a standard that guarantees client success, enabling you to articulate the ROI and secure continuous investment.Scale-Up Growth Owner: Balance the pursuit of new logos with the exponential growth of current accounts, serving as a proactive force for revenue generation in a dynamic, high-ambiguity setting.💼 What you will bringProven Enterprise Consulting Experience: Significant professional experience in a client-facing role, specifically selling and leading multi-year, strategic engagements within the Data, AI, or advanced Technology Consulting space.Scale-Up DNA: A genuine enthusiasm for working in a fast-paced, high-growth, scale-up environment. You must be resilient, adaptable, and see opportunity in rapid change and operational fluidity.Strategic Relationship Architect: Demonstrated ability to build sophisticated stakeholder maps, navigate complex decision-making processes within large organisations, and exert influence across technical and commercial functions (Engineering, Data Science, Product, C-Suite).Value-Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications.Consultative Approach: Exceptional 'listen-first' skills, with the ability to lead the conversation, tailor messaging to different audiences, and challenge client assumptions constructively.💪🏻A Powerful DifferentiatorDeep Domain Expertise: Extensive experience managing and growing enterprise-level accounts in sectors such as TMT (Technology, Media, Telecom), Retail, CPG, or Finance.Infectious Technical Passion: A true passion for modern technology. You are genuinely enthusiastic about the practical application of AI, Machine Learning, and Cloud Data Analytics, and you communicate this passion effectively to both technical and non-technical audiences.What’s in It for You?We believe in empowering our team to thrive, with benefits including:Holiday: 25 days plus bank holidays (obviously!)Health Perks: Private health insurance (Vitality Health) and Smart Health ServicesFitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).Hybrid Model: A WFH allowance to keep you comfortable.Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.Why Datatonic?Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact? Apply now and take your career to the next level.

Client Partner

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

🚀 The Mission: Driving Enterprise Transformation

We are a rapidly scaling Data & AI consultancy, and we are looking for a Senior Client Partner to join our team. This is not a standard account management role. We seek a strategic leader who thrives on long-term, transformational journeys with enterprise clients, delivering multi-million-pound engagements that redefine their business through data and AI.

You will be the commercial and strategic nexus of our significant client relationships. This role requires exceptional experience in navigating complex corporate landscapes and a desire to be an owner in a fast-paced, high-growth scale-up environment. If chaos and change excite you, and you have a proven track record of selling and expanding huge pieces of technical work, let’s talk.

🎯 What you will deliver

As a Senior Client Partner, your focus is on driving strategic revenue through deeply embedded, high-value relationships:

Own the Transformation Pipeline: Strategically identify, qualify, and land new enterprise clients, demonstrating where our Data & AI expertise can deliver unprecedented, measurable business value.

Deepen Enterprise Accounts: Develop and execute comprehensive 1-3 year account plans for existing clients, proactively mapping out the next phase of their transformation journey and expanding our footprint through strategic follow-on engagements.

Navigate the C-Suite: Establish and maintain trusted-advisor relationships with C-level and SVP stakeholders across technology, product, finance, and business units, acting as the commercial lead for all Master Services Agreements (MSAs) and strategic contract negotiations.

Commercial Leadership & Value Realisation: Ensure every piece of work (new and existing) is scoped, priced, and delivered to a standard that guarantees client success, enabling you to articulate the ROI and secure continuous investment.

Scale-Up Growth Owner: Balance the pursuit of new logos with the exponential growth of current accounts, serving as a proactive force for revenue generation in a dynamic, high-ambiguity setting.

💼 What you will bring

Proven Enterprise Consulting Experience: Significant professional experience in a client-facing role, specifically selling and leading multi-year, strategic engagements within the Data, AI, or advanced Technology Consulting space.

Scale-Up DNA: A genuine enthusiasm for working in a fast-paced, high-growth, scale-up environment. You must be resilient, adaptable, and see opportunity in rapid change and operational fluidity.

Strategic Relationship Architect: Demonstrated ability to build sophisticated stakeholder maps, navigate complex decision-making processes within large organisations, and exert influence across technical and commercial functions (Engineering, Data Science, Product, C-Suite).

Value-Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications.

Consultative Approach: Exceptional 'listen-first' skills, with the ability to lead the conversation, tailor messaging to different audiences, and challenge client assumptions constructively.

💪🏻A Powerful Differentiator

Deep Domain Expertise: Extensive experience managing and growing enterprise-level accounts in sectors such as TMT (Technology, Media, Telecom), Retail, CPG, or Finance.

Infectious Technical Passion: A true passion for modern technology. You are genuinely enthusiastic about the practical application of AI, Machine Learning, and Cloud Data Analytics, and you communicate this passion effectively to both technical and non-technical audiences.

What’s in It for You?

We believe in empowering our team to thrive, with benefits including:

Holiday: 25 days plus bank holidays (obviously!)

Health Perks: Private health insurance (Vitality Health) and Smart Health Services

Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

Hybrid Model: A WFH allowance to keep you comfortable.

Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

Why Datatonic?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?
Apply now and take your career to the next level.

Client Partner

<h1>Software Engineer (AI Accelerator Program) </h1><h3>Shape the Future of AI &amp; Data with Us</h3>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on the Google Cloud Platform (GCP).Are you a Senior Data Engineer or Full-Stack Developer ready to pivot into AI? We are launching the 2026 MLE Accelerator Program—a high-impact initiative designed to bridge the gap between strong engineering fundamentals and specialised Machine Learning Engineering. We are looking for 12 key hires to join our Zagreb team, where you will undergo an intensive, 12-week cross-training journey led by our top technical leads.<h3>The MLE Accelerator Journey (12-Week Intensive Program)</h3>Over three months, you will transition from a Senior Engineer to a Production-Ready Machine Learning Engineer through a blend of on-site instructor-led sessions in Zagreb and self-paced, hands-on labs.<h3>Month 1: Google Cloud Upskilling</h3>The first month is dedicated to mastering the cloud foundations required for modern AI development.<ul style="min-height:1.5em"><li>GenAI Infrastructure: Focus on the core Google Cloud services used for building and hosting Generative AI applications, such as Vertex AI services and using Cloud Run for hosting scalable applications.</li><li>Data Storage &amp; Retrieval: Introduction into vector databases and high-performance storage solutions available on Google Cloud, and how they can be used for retrieval-augmented generation.</li><li>Cloud Architecture: Begin preparing for the Professional Cloud Architect (PCA) certification, ensuring a world-class understanding of cloud design.</li><li>Hands-on Labs: Rapid, bite-sized learning on GCP core infrastructure.</li></ul><h3>Month 2: GenAI Specialization</h3>We pivot away from traditional machine learning to focus on the most in-demand skills in the current market: Agentic workflows and Large Language Models (LLMs).<ul style="min-height:1.5em"><li>Intro to Gemini Enterprise: Master Gemini Enterprise to build and surface intelligent agents for enterprise use cases.</li><li>Building AI Agents: Leverage the Gemini API and agentic frameworks such as Google’s Agent Development Kit in order to build agentic applications</li><li>Agentic Architectures: Learn to design and implement agentic solutions which leverage knowledge bases (through RAG/grounding) and tools securely and effectively in a non-deterministic workflow.</li><li>Capstone Kick-off: Start working in pairs on your final project, simulating a real-world client engagement from discovery to proposal.</li></ul><h3>Month 3: Delivery &amp; Production Readiness</h3>The final month bridges the gap between technical skill and ‘The Datatonic Way’ of consulting and delivery.<ul style="min-height:1.5em"><li>Pre-sales Readiness: Develop pre-sales and client-facing skills to help customers translate business problems into technical AI solutions.</li><li>Skill Validation: Complete a series of Google Skills Badges to provide empirical evidence of your GenAI and Cloud expertise.</li><li>Production Standards: Implement evaluation frameworks to test AI agents for safety, accuracy, and enterprise-grade reliability.</li><li>Final Assessment: Present your completed Capstone Project to the Datatonic leadership team.</li></ul><h3>What You'll Do</h3>Once you've graduated from the Accelerator, you will:<ul style="min-height:1.5em"><li>Architect ML Solutions: Design and implement sophisticated ML architectures on Google Cloud.</li><li>Engineer for Production: Build and deploy production-grade software for AI-driven solutions, ensuring high standards of code quality.</li><li>Automate Workflows: Implement AIOps best practices, including logging, monitoring and alerting, and automated testing.</li><li>Consult &amp; Collaborate: Work closely with clients to translate business requirements into impactful and scalable solutions.</li></ul><h3>What You’ll Bring</h3>We are targeting Mid-to-Senior level professionals who already possess a world-class engineering foundation.<ul style="min-height:1.5em"><li>Strong Engineering Background: You are currently a Senior Data Engineer (expert in software engineering, backend development) or a Senior Full-Stack/Web Developer (proficient in backend/frontend architectures and databases).</li><li>ML Foundations: You already have a solid grasp of basic Machine Learning concepts.</li><li>Consultative Mindset: You enjoy client-facing roles and have proven experience communicating technical topics to diverse audiences.</li><li>Curiosity: A strong desire to shift your career focus entirely toward the ML/AI stack on GCP.</li><li>Nice to have: Basic DevOps experience (IaC and workflow automation) are a plus but not essential.</li></ul><h3>Why Datatonic?</h3>Join a team of AI enthusiasts where innovation is embedded in everything we do. In our Zagreb hub, you’ll enjoy:<ul style="min-height:1.5em"><li>Learning &amp; Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms (Coursera, LinkedIn Learning).</li><li>Flexibility: A hybrid working model (2-3 days in the office) to balance focus and collaboration.</li><li>Wellbeing: Supplementary health insurance and 50% covered MultiSport membership.</li><li>Holiday: 25+ days of vacation to keep you refreshed.</li></ul>Impact: The chance to work on cutting-edge GenAI and ML projects for market-leading global brands.

SOFTWARE ENGINEER (AI ACCELERATOR PROGRAM)



SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on the Google Cloud Platform (GCP).

Are you a Senior Data Engineer or Full-Stack Developer ready to pivot into AI? We are launching the 2026 MLE Accelerator Program—a high-impact initiative designed to bridge the gap between strong engineering fundamentals and specialised Machine Learning Engineering. We are looking for 12 key hires to join our Zagreb team, where you will undergo an intensive, 12-week cross-training journey led by our top technical leads.


THE MLE ACCELERATOR JOURNEY (12-WEEK INTENSIVE PROGRAM)

Over three months, you will transition from a Senior Engineer to a Production-Ready Machine Learning Engineer through a blend of on-site instructor-led sessions in Zagreb and self-paced, hands-on labs.


MONTH 1: GOOGLE CLOUD UPSKILLING

The first month is dedicated to mastering the cloud foundations required for modern AI development.

 - GenAI Infrastructure: Focus on the core Google Cloud services used for building and hosting Generative AI applications, such as Vertex AI services and using Cloud Run for hosting scalable applications.

 - Data Storage & Retrieval: Introduction into vector databases and high-performance storage solutions available on Google Cloud, and how they can be used for retrieval-augmented generation.

 - Cloud Architecture: Begin preparing for the Professional Cloud Architect (PCA) certification, ensuring a world-class understanding of cloud design.

 - Hands-on Labs: Rapid, bite-sized learning on GCP core infrastructure.


MONTH 2: GENAI SPECIALIZATION

We pivot away from traditional machine learning to focus on the most in-demand skills in the current market: Agentic workflows and Large Language Models (LLMs).

 - Intro to Gemini Enterprise: Master Gemini Enterprise to build and surface intelligent agents for enterprise use cases.

 - Building AI Agents: Leverage the Gemini API and agentic frameworks such as Google’s Agent Development Kit in order to build agentic applications

 - Agentic Architectures: Learn to design and implement agentic solutions which leverage knowledge bases (through RAG/grounding) and tools securely and effectively in a non-deterministic workflow.

 - Capstone Kick-off: Start working in pairs on your final project, simulating a real-world client engagement from discovery to proposal.


MONTH 3: DELIVERY & PRODUCTION READINESS

The final month bridges the gap between technical skill and ‘The Datatonic Way’ of consulting and delivery.

 - Pre-sales Readiness: Develop pre-sales and client-facing skills to help customers translate business problems into technical AI solutions.

 - Skill Validation: Complete a series of Google Skills Badges to provide empirical evidence of your GenAI and Cloud expertise.

 - Production Standards: Implement evaluation frameworks to test AI agents for safety, accuracy, and enterprise-grade reliability.

 - Final Assessment: Present your completed Capstone Project to the Datatonic leadership team.


WHAT YOU'LL DO

Once you've graduated from the Accelerator, you will:

 - Architect ML Solutions: Design and implement sophisticated ML architectures on Google Cloud.

 - Engineer for Production: Build and deploy production-grade software for AI-driven solutions, ensuring high standards of code quality.

 - Automate Workflows: Implement AIOps best practices, including logging, monitoring and alerting, and automated testing.

 - Consult & Collaborate: Work closely with clients to translate business requirements into impactful and scalable solutions.


WHAT YOU’LL BRING

We are targeting Mid-to-Senior level professionals who already possess a world-class engineering foundation.

 - Strong Engineering Background: You are currently a Senior Data Engineer (expert in software engineering, backend development) or a Senior Full-Stack/Web Developer (proficient in backend/frontend architectures and databases).

 - ML Foundations: You already have a solid grasp of basic Machine Learning concepts.

 - Consultative Mindset: You enjoy client-facing roles and have proven experience communicating technical topics to diverse audiences.

 - Curiosity: A strong desire to shift your career focus entirely toward the ML/AI stack on GCP.

 - Nice to have: Basic DevOps experience (IaC and workflow automation) are a plus but not essential.


WHY DATATONIC?

Join a team of AI enthusiasts where innovation is embedded in everything we do. In our Zagreb hub, you’ll enjoy:

 - Learning & Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms (Coursera, LinkedIn Learning).

 - Flexibility: A hybrid working model (2-3 days in the office) to balance focus and collaboration.

 - Wellbeing: Supplementary health insurance and 50% covered MultiSport membership.

 - Holiday: 25+ days of vacation to keep you refreshed.

Impact: The chance to work on cutting-edge GenAI and ML projects for market-leading global brands.

Software Engineer (AI Accelerator Program)

<h3>Senior Machine Learning Engineer</h3>Shape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h3>Your Mission</h3>As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h3>What You’ll Do</h3><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h3>What You’ll Bring</h3><ul style="min-height:1.5em"><li>Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h3>Bonus Points If You Have:</h3><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 30 days plus bank holidays (obviously!)</li><li>Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)</li><li>Fitness &amp; Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)</li><li>Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: Private Salary Sacrifice Pension available</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SENIOR MACHINE LEARNING ENGINEER

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 30 days plus bank holidays (obviously!)

 - Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation)

 - Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice)

 - Hybrid Model: 1200 kr WFH Equipment Allowance (after probation)

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: Private Salary Sacrifice Pension available


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer (Swedish - speaking)

Google Cloud Trainer - Datatonic AcademyAbout Us As Google Cloud's premier partner in AI, at Datatonic we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics.Datatonic Academy is our Authorised Training Partner arm of the business, upskilling individuals in Data and AI, to help them turbo-charge their careers with Google Cloud. With courses covering Generative AI, Machine Learning, Data Engineering, DevOps, Analytics and much more, the Academy offers specialist training to help enterprise businesses achieve tangible impact with Data and AI.We are growing our world-class training team and seeking Authorised Google Cloud Trainers who want to join our mission.The Role As part of the team, you will deliver training sessions for students at different levels and across a number of subject areas and disciplines, both virtually and in-person.You will work closely with the Lead Trainers to advise and support on content development for courses, bringing initiative and a constant awareness of recent developments in Cloud technology and related tools and frameworks. This includes liaising with other internal teams, e.g. Account Management, and customising courses to suit our clients’ specific needs.Reporting directly to one of the Lead Trainers, this role will be critical in supporting and nurturing our continued business growth - it offers the opportunity to have a real impact on the trajectory of the Academy. For that reason, this is not a ‘passenger’ role. Proactivity, opinions and ideas are essential and encouraged - we have a team that is passionate about helping people turbo-charge their career in tech and excited to make it happen.Responsibilities<ul style="min-height:1.5em"><li>Delivering training sessions both virtually and in-person to groups of students</li><li>Creating training materials for students at multiple levels and across multiple subject areas</li><li>Providing one-on-one coaching and support to students in between sessions (e.g. Office hours)</li><li>Coordinating with other teams (especially Account Management) and clients to customise course content</li><li>Occasionally aiding Sales teams in scoping calls to identify customer requirements’ for training</li></ul>Requirements<ul style="min-height:1.5em"><li>Google Cloud Authorised Trainer certification</li><li>UK based and willing to travel for in-person deliveries (variable but around 30-40% of deliveries are in-person, mostly UK based but some international travel)</li><li>2+ years’ experience working as a trainer or teacher delivering B2B training to technical and business audiences</li><li>Active Google Cloud Professional Machine Learning Engineer and/or Professional Data Engineer certification</li><li>Experience delivering group training sessions (virtual and/or in-person)</li><li>A detailed awareness of modern cloud-native infrastructure principles</li><li>Exceptional communication and presentation skills - written and verbal</li><li>A personable approach and adaptable communication style</li><li>Incredible attention to detail and a passion for presenting information in the most effective way</li><li>A logical, methodical but flexible mindset</li><li>Passion for Google Cloud technologies and Data+AI in general</li><li>Commitment to delivering value to students and clients</li></ul>NotesIf you are an experienced authorised AWS or Azure trainer interested in transitioning to the Google Cloud ecosystem, please still apply. We will be happy to discuss with you and are open to applications from all who fulfil most of the above requirements, even if you’re not yet Google Cloud certified.Please note we cannot sponsor visas for this role.

Google Cloud Trainer - Datatonic Academy

About Us

As Google Cloud's premier partner in AI, at Datatonic we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics.

Datatonic Academy is our Authorised Training Partner arm of the business, upskilling individuals in Data and AI, to help them turbo-charge their careers with Google Cloud. With courses covering Generative AI, Machine Learning, Data Engineering, DevOps, Analytics and much more, the Academy offers specialist training to help enterprise businesses achieve tangible impact with Data and AI.

We are growing our world-class training team and seeking Authorised Google Cloud Trainers who want to join our mission.

The Role

As part of the team, you will deliver training sessions for students at different levels and across a number of subject areas and disciplines, both virtually and in-person.

You will work closely with the Lead Trainers to advise and support on content development for courses, bringing initiative and a constant awareness of recent developments in Cloud technology and related tools and frameworks. This includes liaising with other internal teams, e.g. Account Management, and customising courses to suit our clients’ specific needs.

Reporting directly to one of the Lead Trainers, this role will be critical in supporting and nurturing our continued business growth - it offers the opportunity to have a real impact on the trajectory of the Academy. For that reason, this is not a ‘passenger’ role. Proactivity, opinions and ideas are essential and encouraged - we have a team that is passionate about helping people turbo-charge their career in tech and excited to make it happen.

Responsibilities

 - Delivering training sessions both virtually and in-person to groups of students

 - Creating training materials for students at multiple levels and across multiple subject areas

 - Providing one-on-one coaching and support to students in between sessions (e.g. Office hours)

 - Coordinating with other teams (especially Account Management) and clients to customise course content

 - Occasionally aiding Sales teams in scoping calls to identify customer requirements’ for training

Requirements

 - Google Cloud Authorised Trainer certification

 - UK based and willing to travel for in-person deliveries (variable but around 30-40% of deliveries are in-person, mostly UK based but some international travel)

 - 2+ years’ experience working as a trainer or teacher delivering B2B training to technical and business audiences

 - Active Google Cloud Professional Machine Learning Engineer and/or Professional Data Engineer certification

 - Experience delivering group training sessions (virtual and/or in-person)

 - A detailed awareness of modern cloud-native infrastructure principles

 - Exceptional communication and presentation skills - written and verbal

 - A personable approach and adaptable communication style

 - Incredible attention to detail and a passion for presenting information in the most effective way

 - A logical, methodical but flexible mindset

 - Passion for Google Cloud technologies and Data+AI in general

 - Commitment to delivering value to students and clients

Notes

If you are an experienced authorised AWS or Azure trainer interested in transitioning to the Google Cloud ecosystem, please still apply. We will be happy to discuss with you and are open to applications from all who fulfil most of the above requirements, even if you’re not yet Google Cloud certified.

Please note we cannot sponsor visas for this role.

Google Cloud Trainer

<h1>Chief Solution Architect (Pre-sales, AI + Data Transformation)</h1>Reporting to: Managing Director, UK&amp;IAs Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.The RoleDatatonic is seeking a Chief Solution Architect as the first hire in our new pre-sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data &amp; AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies.You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large-scale engagements with direct links to the C-suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic’s offerings in the market.You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C-suite and architect levels.What You’ll Do<h3>Pre-Sales Leadership</h3><ul style="min-height:1.5em"><li>Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives.</li><li>Take an insight-led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformations</li><li>Architect data, ML, and GenAI solutions on Google Cloud.</li><li>Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery.</li><li>Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+.</li></ul><h3>Strategic Advisory</h3><ul style="min-height:1.5em"><li>Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI.</li><li>Build POVs and architecture options that balance business value, feasibility, and cost.</li><li>Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design.</li></ul><h3>Thought Leadership, GTM &amp; Vertical Expertise</h3><ul style="min-height:1.5em"><li>Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners</li><li>Work with our GTM team to create industry-relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions.</li><li>Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments.</li><li>Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators.</li></ul>What You Bring<ul style="min-height:1.5em"><li>7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre-sales or client-facing advisory role.</li><li>Strong knowledge of cloud-based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments. </li><li>Hands-on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross-skill to GCP quickly will be considered.</li><li>Excellent written and verbal communication; able to simplify complex technical ideas for business leaders.</li><li>A consultative sales approach with experience shaping deals over $1M.</li><li>Comfortable presenting to C-suite, negotiating trade-offs, and influencing stakeholders.</li><li>Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies</li></ul>What Success Looks Like (first 12 months)<ul style="min-height:1.5em"><li>Consistently shaping and winning large scale data and AI transformations for our biggest clients.</li><li>Recognized by Sales as the go-to technical partner for complex pursuits.</li><li>Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed.</li><li>Trusted by strategic accounts as a value-driven advisor.</li><li>Strong contribution as a thought leader to vertical narratives, events, and Datatonic’s GTM.</li></ul>

CHIEF SOLUTION ARCHITECT (PRE-SALES, AI + DATA TRANSFORMATION)

Reporting to: Managing Director, UK&I

As Google Cloud's premier partner in AI and Data Transformation, we provide world-class businesses with the strategic consulting and technical execution required for cutting-edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs.

The Role

Datatonic is seeking a Chief Solution Architect as the first hire in our new pre-sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies.

You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large-scale engagements with direct links to the C-suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic’s offerings in the market.

You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C-suite and architect levels.

What You’ll Do


PRE-SALES LEADERSHIP

 - Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives.

 - Take an insight-led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformations

 - Architect data, ML, and GenAI solutions on Google Cloud.

 - Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery.

 - Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+.


STRATEGIC ADVISORY

 - Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI.

 - Build POVs and architecture options that balance business value, feasibility, and cost.

 - Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design.


THOUGHT LEADERSHIP, GTM & VERTICAL EXPERTISE

 - Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners

 - Work with our GTM team to create industry-relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions.

 - Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments.

 - Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators.

What You Bring

 - 7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre-sales or client-facing advisory role.

 - Strong knowledge of cloud-based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments.
   

 - Hands-on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross-skill to GCP quickly will be considered.

 - Excellent written and verbal communication; able to simplify complex technical ideas for business leaders.

 - A consultative sales approach with experience shaping deals over $1M.

 - Comfortable presenting to C-suite, negotiating trade-offs, and influencing stakeholders.

 - Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies

What Success Looks Like (first 12 months)

 - Consistently shaping and winning large scale data and AI transformations for our biggest clients.

 - Recognized by Sales as the go-to technical partner for complex pursuits.

 - Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed.

 - Trusted by strategic accounts as a value-driven advisor.

 - Strong contribution as a thought leader to vertical narratives, events, and Datatonic’s GTM.

Chief Solution Architect (Pre-sales, AI + Data Transformation)

Partner Manager, UKReports To: Global Director of Go To MarketShape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.The Partner Manager, will play a pivotal role in expanding our position as Google Cloud’s leading Cloud Data + AI Service Partner. In this role, you will be responsible for identifying strategic opportunities, sourcing partner-sourced opportunities (individually and with sales), and driving co-sell motions with Google and complimentary partners. You will work closely with cross-functional teams at Datatonic and across Google to drive partner success and achieve pipeline and sales goals.This is an exciting opportunity to join a fast-growing, leading Cloud Data + AI consultancy, with an unbeatable reputation in the Google Cloud partner ecosystem (10 Partner of the Year awards). With your relationship building skills, commercial acumen and hands-on approach, you’ll evolve our partnership status and will drive tangible impact for the business.1. Relationship Management:<ul style="min-height:1.5em"><li>Google Cloud: This is the core focus. Building and nurturing relationships at all levels (PDMs, co-sell leads, senior stakeholders in our core strategic verticals) across regions. This involves regular connects, presenting Datatonic's capabilities, and ensuring alignment on goals.</li><li>Other Partners: Developing relationships with complementary partners beyond Google Cloud (aligned to Datatonic business and strategic objectives) to generate pipeline and explore collaborative opportunities, aligned to our strategic verticals and top account focus.</li></ul>2. Strategic Planning &amp; Execution:<ul style="min-height:1.5em"><li>Joint Business Plans (JBPs): Leading the development and execution of JBPs with Google Cloud, aligning on targets, and ensuring buy-in from both sides.</li><li>Go-to-Market (GTM) Plans: Collaborating with internal teams to develop and execute GTM strategies for Datatonic's solutions with Google Cloud.</li><li>Solution Development: Providing Google Cloud's perspective on Datatonic solutions, gathering feedback, and facilitating improvements.</li></ul>3. Business Development &amp; Growth:<ul style="min-height:1.5em"><li>Pipeline Generation: Working with Google Cloud and other partners to identify and drive new business opportunities. This includes identifying key Googlers, leveraging customer success stories, and exploring funding opportunities.</li><li>Workload Management: Collaborating with the Partner Engineer and sales team to track and manage workloads, ensuring smooth delivery and customer satisfaction.</li></ul>4. Communication &amp; Ops Enablement:<ul style="min-height:1.5em"><li>QBRs &amp; Exec alignment: Leading quarterly business reviews and exec alignment trackers with Google Cloud, preparing presentations, and tracking action items.</li><li>Internal &amp; External Communication: Facilitating communication and knowledge sharing between Datatonic and Google Cloud teams. This includes presenting updates, coordinating events, and leading enablement initiatives.</li><li>Partner Ops &amp; Onboarding: Managing Google Cloud partner scorecard, keeping partner operations (eg sourced pipeline, funding requests) up to date, onboarding new team members.</li></ul>Targets:The role is measured on partner-sourced pipeline and Googler attach expansion, in focus regions (UKI, Nordics).<h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Partner Manager, UK

Reports To: Global Director of Go To Market

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

The Partner Manager, will play a pivotal role in expanding our position as Google Cloud’s leading Cloud Data + AI Service Partner. In this role, you will be responsible for identifying strategic opportunities, sourcing partner-sourced opportunities (individually and with sales), and driving co-sell motions with Google and complimentary partners. You will work closely with cross-functional teams at Datatonic and across Google to drive partner success and achieve pipeline and sales goals.

This is an exciting opportunity to join a fast-growing, leading Cloud Data + AI consultancy, with an unbeatable reputation in the Google Cloud partner ecosystem (10 Partner of the Year awards). With your relationship building skills, commercial acumen and hands-on approach, you’ll evolve our partnership status and will drive tangible impact for the business.

1. Relationship Management:

 - Google Cloud: This is the core focus. Building and nurturing relationships at all levels (PDMs, co-sell leads, senior stakeholders in our core strategic verticals) across regions. This involves regular connects, presenting Datatonic's capabilities, and ensuring alignment on goals.

 - Other Partners: Developing relationships with complementary partners beyond Google Cloud (aligned to Datatonic business and strategic objectives) to generate pipeline and explore collaborative opportunities, aligned to our strategic verticals and top account focus.

2. Strategic Planning & Execution:

 - Joint Business Plans (JBPs): Leading the development and execution of JBPs with Google Cloud, aligning on targets, and ensuring buy-in from both sides.

 - Go-to-Market (GTM) Plans: Collaborating with internal teams to develop and execute GTM strategies for Datatonic's solutions with Google Cloud.

 - Solution Development: Providing Google Cloud's perspective on Datatonic solutions, gathering feedback, and facilitating improvements.

3. Business Development & Growth:

 - Pipeline Generation: Working with Google Cloud and other partners to identify and drive new business opportunities. This includes identifying key Googlers, leveraging customer success stories, and exploring funding opportunities.

 - Workload Management: Collaborating with the Partner Engineer and sales team to track and manage workloads, ensuring smooth delivery and customer satisfaction.

4. Communication & Ops Enablement:

 - QBRs & Exec alignment: Leading quarterly business reviews and exec alignment trackers with Google Cloud, preparing presentations, and tracking action items.

 - Internal & External Communication: Facilitating communication and knowledge sharing between Datatonic and Google Cloud teams. This includes presenting updates, coordinating events, and leading enablement initiatives.

 - Partner Ops & Onboarding: Managing Google Cloud partner scorecard, keeping partner operations (eg sourced pipeline, funding requests) up to date, onboarding new team members.

Targets:

The role is measured on partner-sourced pipeline and Googler attach expansion, in focus regions (UKI, Nordics).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Partner Manager UK

<h2>About Us</h2>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>About the Role</h2>We are looking for a hands-on Security and Compliance Engineer to strengthen our security operations and take ownership of key compliance controls. This is the first dedicated security hire in the team and will play a central role in improving monitoring, detection, data protection, and automation across the organisation. This is an internal role focused on securing our own IT systems and infrastructure.You will combine technical security engineering with practical compliance ownership, ensuring that our ISO 27001 and UK Cyber Essentials controls are not just documented, but effective and measurable.As our first dedicated security engineer, you will help shape how security operates day to day. The scope is broad by design, but success in this role is not about doing everything at once. It is about understanding risk, making sound technical judgments, and prioritising the work that meaningfully reduces risk for the business.We value pragmatism over perfection. You will be expected to identify gaps, propose improvements, and execute in a structured, risk-based way, focusing on impact rather than activity.This role is ideal for someone who enjoys building, automating, and improving systems while taking real ownership and influencing how security evolves as the company grows.<h2>Our Environment</h2>We operate a cloud-first infrastructure of approximately 300 employees with Apple endpoints and minimal reliance on Microsoft technologies. Security controls are primarily implemented across SaaS platforms and cloud services, with a strong focus on automation and API-driven workflows.Core stack: Okta, Google Cloud, Datadog, Cloudflare Zero Trust, Jamf, Vanta<h2>Key Responsibilities</h2><ul style="min-height:1.5em"><li>Improve and tune SIEM detection rules and alerting workflows</li><li>Identify gaps in detection coverage and develop pragmatic detection improvements based on evolving risks and changes in our environment</li><li>Enhance DLP and secure web gateway controls</li><li>Monitor and remediate findings from CASB and ISPM platforms</li><li>Investigate security alerts and incidents, including root cause analysis</li><li>Support vulnerability management across cloud, endpoints, and SaaS platforms, including prioritisation and remediation tracking</li><li>Maintain and improve incident response procedures, including playbooks, tabletop exercises, and post-incident reviews</li><li>Provide security input into internal enterprise technology decisions, including new SaaS integrations and cloud architecture changes</li><li>Automate repetitive security workflows and reporting</li><li>Reduce false positives and continuously improve signal quality </li></ul><h3>Automation and AI Enablement</h3><ul style="min-height:1.5em"><li>Use scripting and automation to streamline security operations</li><li>Leverage AI tools responsibly to improve investigation workflows, reporting, and documentation</li><li>Identify opportunities where AI can improve efficiency without increasing risk</li><li>Build lightweight automation to reduce manual compliance overhead</li></ul><h3>Compliance and Control Engineering</h3><ul style="min-height:1.5em"><li>Own and maintain selected compliance controls (ISO 27001, UK Cyber Essentials)</li><li>Ensure controls are technically implemented and operating effectively</li><li>Maintain evidence and support internal and external audits</li><li>Track and remediate control gaps</li></ul><h3>Governance and Risk Support</h3><ul style="min-height:1.5em"><li>Support risk assessments and control reviews</li><li>Contribute to improving security policies and standards</li><li>Support access reviews and vendor security assessments</li><li>Communicate technical risk clearly to non-technical stakeholders </li></ul><h2>What We’re Looking For</h2><ul style="min-height:1.5em"><li>5–7 years of hands-on experience in information security</li><li>Practical experience operating and tuning security tools such as ISPM, SIEM, DLP, CASB, EDR, and related platforms</li><li>Solid understanding and real-world implementation experience of Zero Trust principles, including identity-based access controls, least privilege, device posture enforcement, and continuous verification</li><li>Experience in incident response and security investigations</li><li>Strong understanding of cloud logging, telemetry pipelines, and log source integration</li><li>Strong technical mindset with automation experience (Python, Bash, or similar scripting languages) to streamline security operations and reduce manual effort</li><li>Experience supporting ISO 27001 or similar compliance frameworks, including control ownership and audit readiness</li><li>Comfortable taking ownership of security controls, identifying gaps, and driving measurable improvements independently</li><li>Full professional fluency in English, with the ability to communicate clearly with technical and non-technical stakeholders</li></ul><h2>Nice to Have</h2><ul style="min-height:1.5em"><li>Experience in cloud environments, especially Google Cloud</li><li>Experience with Infrastructure as Code such as Terraform or Pulumi</li><li>Experience preparing for or supporting ISO audits</li><li>Relevant certifications (CompTIA Security+, Google Professional Cloud Security Engineer, or similar) </li></ul><h2>Benefits we offer include:</h2><ul style="min-height:1.5em"><li>25+ days of vacation, depending on role and progression</li><li>Supplementary and additional health insurance</li><li>50% covered MultiSport membership</li><li>Hybrid working model for flexibility and balance</li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.<h2></h2>

ABOUT US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


ABOUT THE ROLE

We are looking for a hands-on Security and Compliance Engineer to strengthen our security operations and take ownership of key compliance controls. This is the first dedicated security hire in the team and will play a central role in improving monitoring, detection, data protection, and automation across the organisation. This is an internal role focused on securing our own IT systems and infrastructure.

You will combine technical security engineering with practical compliance ownership, ensuring that our ISO 27001 and UK Cyber Essentials controls are not just documented, but effective and measurable.

As our first dedicated security engineer, you will help shape how security operates day to day. The scope is broad by design, but success in this role is not about doing everything at once. It is about understanding risk, making sound technical judgments, and prioritising the work that meaningfully reduces risk for the business.

We value pragmatism over perfection. You will be expected to identify gaps, propose improvements, and execute in a structured, risk-based way, focusing on impact rather than activity.

This role is ideal for someone who enjoys building, automating, and improving systems while taking real ownership and influencing how security evolves as the company grows.


OUR ENVIRONMENT

We operate a cloud-first infrastructure of approximately 300 employees with Apple endpoints and minimal reliance on Microsoft technologies. Security controls are primarily implemented across SaaS platforms and cloud services, with a strong focus on automation and API-driven workflows.

Core stack: Okta, Google Cloud, Datadog, Cloudflare Zero Trust, Jamf, Vanta


KEY RESPONSIBILITIES

 - Improve and tune SIEM detection rules and alerting workflows

 - Identify gaps in detection coverage and develop pragmatic detection improvements based on evolving risks and changes in our environment

 - Enhance DLP and secure web gateway controls

 - Monitor and remediate findings from CASB and ISPM platforms

 - Investigate security alerts and incidents, including root cause analysis

 - Support vulnerability management across cloud, endpoints, and SaaS platforms, including prioritisation and remediation tracking

 - Maintain and improve incident response procedures, including playbooks, tabletop exercises, and post-incident reviews

 - Provide security input into internal enterprise technology decisions, including new SaaS integrations and cloud architecture changes

 - Automate repetitive security workflows and reporting

 - Reduce false positives and continuously improve signal quality
   


AUTOMATION AND AI ENABLEMENT

 - Use scripting and automation to streamline security operations

 - Leverage AI tools responsibly to improve investigation workflows, reporting, and documentation

 - Identify opportunities where AI can improve efficiency without increasing risk

 - Build lightweight automation to reduce manual compliance overhead


COMPLIANCE AND CONTROL ENGINEERING

 - Own and maintain selected compliance controls (ISO 27001, UK Cyber Essentials)

 - Ensure controls are technically implemented and operating effectively

 - Maintain evidence and support internal and external audits

 - Track and remediate control gaps


GOVERNANCE AND RISK SUPPORT

 - Support risk assessments and control reviews

 - Contribute to improving security policies and standards

 - Support access reviews and vendor security assessments

 - Communicate technical risk clearly to non-technical stakeholders
   


WHAT WE’RE LOOKING FOR

 - 5–7 years of hands-on experience in information security

 - Practical experience operating and tuning security tools such as ISPM, SIEM, DLP, CASB, EDR, and related platforms

 - Solid understanding and real-world implementation experience of Zero Trust principles, including identity-based access controls, least privilege, device posture enforcement, and continuous verification

 - Experience in incident response and security investigations

 - Strong understanding of cloud logging, telemetry pipelines, and log source integration

 - Strong technical mindset with automation experience (Python, Bash, or similar scripting languages) to streamline security operations and reduce manual effort

 - Experience supporting ISO 27001 or similar compliance frameworks, including control ownership and audit readiness

 - Comfortable taking ownership of security controls, identifying gaps, and driving measurable improvements independently

 - Full professional fluency in English, with the ability to communicate clearly with technical and non-technical stakeholders


NICE TO HAVE

 - Experience in cloud environments, especially Google Cloud

 - Experience with Infrastructure as Code such as Terraform or Pulumi

 - Experience preparing for or supporting ISO audits

 - Relevant certifications (CompTIA Security+, Google Professional Cloud Security Engineer, or similar)
   


BENEFITS WE OFFER INCLUDE:

 - 25+ days of vacation, depending on role and progression

 - Supplementary and additional health insurance

 - 50% covered MultiSport membership

 - Hybrid working model for flexibility and balance


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.




Security and Compliance Engineer

Account ManagerShape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Are you ready to elevate your career in the dynamic realm of data and artificial intelligence? Datatonic, a trailblazing consultancy at the forefront of transformative technological solutions, invites you to embark on a thrilling journey as an Account Exec for our Americas region, with a focus on the telecom vertical. You’ll be a key player in the Datatonic-Google partnership, we’ve proudly earned the esteemed title of Google’s partner of the year 10 times.The Role: As an Account Manager, you will take on a hybrid role, balancing the growth of new business opportunities with the expansion and development of existing accounts.Reporting to the Head of Sales, you will own a big part of the sales strategy and its execution in tandem with other departments (Delivery &amp; Technology). You will directly contribute to our revenue growth, build strong sales processes, oversee pipelines from qualification to close and manage day-to-day sales operations.What success looks like in this role:<ul style="min-height:1.5em"><li>You are consistently overachieving the company’s revenue targets</li><li>You’ve familiarized yourself with the business model and developed the ability to confidently speak about data and analytics with prospective clients</li><li>You are an overall positive influence within the team</li><li>You take proactive leadership of your territory by understanding the market and developing and executing on a strategy that fits</li><li>You work with colleagues to successfully identify opportunities for renewals and upsells with existing clients</li><li>You maintain CRM/sales tool with up-to-date information</li><li>You work with the team to create strong sales collateral</li><li>You are self-directed and you have the ability to manage simultaneous projects with minimal supervision.</li></ul>Requirements:<ul style="min-height:1.5em"><li>At least 5 years of professional telecom enterprise sales or consulting experience in a fast-paced client facing and results oriented environment.</li><li>A clear understanding of how telecom organisations make decisions related to data, analytics, and AI, &amp; how to influence them, with a proven pedigree in helping a business deliver significant growth</li><li>Ability to be a thought leader and thought partner to our clients, discussing the latest trends in data, analytics, and AI related to telecom</li><li>Ability to communicate and influence all levels of stakeholders across functions (especially tech, engineering, data science, sales, marketing and finance)</li><li>Ability to lead and motivate others</li><li>You have a consultative ‘listen-first’ approach and understand what motivates people &amp; tailor your messaging accordingly.</li><li>Exceptional people skills, builds rapport easily.</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Five (5) weeks of paid vacation, yearly.</li><li>Group Retirement Savings Plan with matching contribution.</li><li>Group insurance (extended health &amp; dental) - individual premium paid 100%.</li><li>100% employer-paid Tele-medicine.</li><li>Home Office budget - We are 100% remote.<ul style="min-height:1.5em"><li>CA$50 bi-weekly for expenses</li><li>Company-supplied MacBook Pro</li></ul></li><li>400$/year for books (including a reading device if you need one!).</li><li>Regular Company off-sites and meetups.</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact? Apply now and take your career to the next level.

Account Manager

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Are you ready to elevate your career in the dynamic realm of data and artificial intelligence? Datatonic, a trailblazing consultancy at the forefront of transformative technological solutions, invites you to embark on a thrilling journey as an Account Exec for our Americas region, with a focus on the telecom vertical. You’ll be a key player in the Datatonic-Google partnership, we’ve proudly earned the esteemed title of Google’s partner of the year 10 times.

The Role:
As an Account Manager, you will take on a hybrid role, balancing the growth of new business opportunities with the expansion and development of existing accounts.

Reporting to the Head of Sales, you will own a big part of the sales strategy and its execution in tandem with other departments (Delivery & Technology). You will directly contribute to our revenue growth, build strong sales processes, oversee pipelines from qualification to close and manage day-to-day sales operations.

What success looks like in this role:

 - You are consistently overachieving the company’s revenue targets

 - You’ve familiarized yourself with the business model and developed the ability to confidently speak about data and analytics with prospective clients

 - You are an overall positive influence within the team

 - You take proactive leadership of your territory by understanding the market and developing and executing on a strategy that fits

 - You work with colleagues to successfully identify opportunities for renewals and upsells with existing clients

 - You maintain CRM/sales tool with up-to-date information

 - You work with the team to create strong sales collateral

 - You are self-directed and you have the ability to manage simultaneous projects with minimal supervision.

Requirements:

 - At least 5 years of professional telecom enterprise sales or consulting experience in a fast-paced client facing and results oriented environment.

 - A clear understanding of how telecom organisations make decisions related to data, analytics, and AI, & how to influence them, with a proven pedigree in helping a business deliver significant growth

 - Ability to be a thought leader and thought partner to our clients, discussing the latest trends in data, analytics, and AI related to telecom

 - Ability to communicate and influence all levels of stakeholders across functions (especially tech, engineering, data science, sales, marketing and finance)

 - Ability to lead and motivate others

 - You have a consultative ‘listen-first’ approach and understand what motivates people & tailor your messaging accordingly.

 - Exceptional people skills, builds rapport easily.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Five (5) weeks of paid vacation, yearly.

 - Group Retirement Savings Plan with matching contribution.

 - Group insurance (extended health & dental) - individual premium paid 100%.

 - 100% employer-paid Tele-medicine.

 - Home Office budget - We are 100% remote.
   
   - CA$50 bi-weekly for expenses
   
   - Company-supplied MacBook Pro

 - 400$/year for books (including a reading device if you need one!).

 - Regular Company off-sites and meetups.


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?
Apply now and take your career to the next level.

Account Executive (Telco)

Account ManagerShape the Future of AI &amp; Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Are you ready to elevate your career in the dynamic realm of data and artificial intelligence? Datatonic, a trailblazing consultancy at the forefront of transformative technological solutions, invites you to embark on a thrilling journey as an Account Exec for our Americas region, with a focus on the insurance vertical. You’ll be a key player in the Datatonic-Google partnership, we’ve proudly earned the esteemed title of Google’s partner of the year 10 times.The Role: As an Account Manager, you will take on a hybrid role, balancing the growth of new business opportunities with the expansion and development of existing accounts.Reporting to the Head of Sales, you will own a big part of the sales strategy and its execution in tandem with other departments (Delivery &amp; Technology). You will directly contribute to our revenue growth, build strong sales processes, oversee pipelines from qualification to close and manage day-to-day sales operations.What success looks like in this role:<ul style="min-height:1.5em"><li>You are consistently overachieving the company’s revenue targets</li><li>You’ve familiarized yourself with the business model and developed the ability to confidently speak about data and analytics with prospective clients</li><li>You are an overall positive influence within the team</li><li>You take proactive leadership of your territory by understanding the market and developing and executing on a strategy that fits</li><li>You work with colleagues to successfully identify opportunities for renewals and upsells with existing clients</li><li>You maintain CRM/sales tool with up-to-date information</li><li>You work with the team to create strong sales collateral</li><li>You are self-directed and you have the ability to manage simultaneous projects with minimal supervision.</li></ul>Requirements:<ul style="min-height:1.5em"><li>At least 5 years of insurance enterprise (IT) sales or consulting experience in a fast-paced client facing and results oriented environment.</li><li>A clear understanding of how insurance organisations make decisions related to data, analytics, and AI, &amp; how to influence them, with a proven pedigree in helping a business deliver significant growth</li><li>Ability to be a thought leader and thought partner to our clients, discussing the latest trends in data, analytics, and AI related to insurance</li><li>Ability to communicate and influence all levels of stakeholders across functions (especially tech, engineering, data science, sales, marketing and finance)</li><li>Ability to lead and motivate others</li><li>You have a consultative ‘listen-first’ approach and understand what motivates people &amp; tailor your messaging accordingly.</li><li>Exceptional people skills, builds rapport easily.</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Five (5) weeks of paid vacation, yearly.</li><li>Group Retirement Savings Plan with matching contribution.</li><li>Group insurance (extended health &amp; dental) - individual premium paid 100%.</li><li>100% employer-paid Tele-medicine.</li><li>Home Office budget - We are 100% remote.<ul style="min-height:1.5em"><li>CA$50 bi-weekly for expenses</li><li>Company-supplied MacBook Pro</li></ul></li><li>400$/year for books (including a reading device if you need one!).</li><li>Regular Company off-sites and meetups.</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact? Apply now and take your career to the next level.

Account Manager

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Are you ready to elevate your career in the dynamic realm of data and artificial intelligence? Datatonic, a trailblazing consultancy at the forefront of transformative technological solutions, invites you to embark on a thrilling journey as an Account Exec for our Americas region, with a focus on the insurance vertical. You’ll be a key player in the Datatonic-Google partnership, we’ve proudly earned the esteemed title of Google’s partner of the year 10 times.

The Role:
As an Account Manager, you will take on a hybrid role, balancing the growth of new business opportunities with the expansion and development of existing accounts.

Reporting to the Head of Sales, you will own a big part of the sales strategy and its execution in tandem with other departments (Delivery & Technology). You will directly contribute to our revenue growth, build strong sales processes, oversee pipelines from qualification to close and manage day-to-day sales operations.

What success looks like in this role:

 - You are consistently overachieving the company’s revenue targets

 - You’ve familiarized yourself with the business model and developed the ability to confidently speak about data and analytics with prospective clients

 - You are an overall positive influence within the team

 - You take proactive leadership of your territory by understanding the market and developing and executing on a strategy that fits

 - You work with colleagues to successfully identify opportunities for renewals and upsells with existing clients

 - You maintain CRM/sales tool with up-to-date information

 - You work with the team to create strong sales collateral

 - You are self-directed and you have the ability to manage simultaneous projects with minimal supervision.

Requirements:

 - At least 5 years of insurance enterprise (IT) sales or consulting experience in a fast-paced client facing and results oriented environment.

 - A clear understanding of how insurance organisations make decisions related to data, analytics, and AI, & how to influence them, with a proven pedigree in helping a business deliver significant growth

 - Ability to be a thought leader and thought partner to our clients, discussing the latest trends in data, analytics, and AI related to insurance

 - Ability to communicate and influence all levels of stakeholders across functions (especially tech, engineering, data science, sales, marketing and finance)

 - Ability to lead and motivate others

 - You have a consultative ‘listen-first’ approach and understand what motivates people & tailor your messaging accordingly.

 - Exceptional people skills, builds rapport easily.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Five (5) weeks of paid vacation, yearly.

 - Group Retirement Savings Plan with matching contribution.

 - Group insurance (extended health & dental) - individual premium paid 100%.

 - 100% employer-paid Tele-medicine.

 - Home Office budget - We are 100% remote.
   
   - CA$50 bi-weekly for expenses
   
   - Company-supplied MacBook Pro

 - 400$/year for books (including a reading device if you need one!).

 - Regular Company off-sites and meetups.


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged—it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?
Apply now and take your career to the next level.

Account Executive (Insurance)

Head of Sales UKAs the Head of Sales (UK), you are the engine of our regional growth. Reporting directly to the Managing Director (UK), you will lead a high-performing team of sellers to identify, shape, and close strategic Data and AI transformations.You are not a "manager from a distance." You will be a mentor who rolls up their sleeves to help a seller navigate a complex stakeholder map at an enterprise, or refine a commercial business case for a GenAI platform. Your success is measured by the Sold Gross Margin of the UK region, sales ROI, and the professional growth of your team.Your Strategic Mandate<ul style="min-height:1.5em"><li>Drive High-Value Growth: Own and exceed half-yearly sold gross margin targets for the UK.</li><li>Champion "Brave Transformation": Ensure the team is selling strategic, multi-year engagements that deliver genuine ROI, not just tactical "body shopping"</li><li>Mentor &amp; Multiply: Act as an active guide on deals, helping sellers move from "vendor" status to "trusted advisor."</li><li>Partner with the Ecosystem: Work closely with Google Cloud’s UK sales leadership to ensure we are their "go-to" partner for complex Data and AI transformations.</li></ul>Key Responsibilities<h3>1. Sales Leadership &amp; Mentorship</h3><ul style="min-height:1.5em"><li>Hands-on Deal Shaping: Join discovery calls, help qualify, review proposals, and provide strategic "pre-flight" checks on all major bids (£500k+).</li><li>The Challenger Coach: Train your team in consultative selling, teaching them how to constructively challenge client assumptions to unlock bigger transformation opportunities.</li><li>Pipeline Rigor: Maintain a clean, data-driven pipeline, providing the MD and Board with accurate forecasts.</li></ul><h3>2. Commercial &amp; Strategic Oversight</h3><ul style="min-height:1.5em"><li>Margin Protection: Ensure every deal is sold with a healthy gross margin, balancing competitive pricing with the premium value of our expertise.</li><li>Industry Focus: Oversee the UK’s primary verticals (FSI, Telco, Media, Agencies), ensuring our GTM messaging resonates with industry-specific pain points.</li><li>Collaboration: Work in lockstep with the Chief Solution Architect and Head of Delivery to ensure what is "sold" can be "delivered" to our high standards.</li></ul><h3>3. Team Building &amp; Culture</h3><ul style="min-height:1.5em"><li>Scale-Up DNA: Recruit, onboard, and retain top-tier sales talent as we scale the UK footprint.</li><li>Employee Engagement: Foster a culture of resilience, healthy competition, and continuous learning, aligning with the MD’s goal of high employee engagement.</li><li>Leading from the front: As part of our leadership, this role would work collaboratively with delivery &amp; technical leadership to run the region and achieve it’s goals</li></ul>About You: Your Experience &amp; DNA<ul style="min-height:1.5em"><li>Proven Sales Leadership: You have successfully managed a sales team within a technology consultancy or professional services firm, specifically in the Data/AI/Cloud space.</li><li>UK Market Expertise: Deep experience navigating the UK enterprise landscape (FTSE 100/250) and a strong network within the Google Cloud ecosystem.</li><li>The "Mentor" Mindset: You find more professional satisfaction in helping a junior seller close their first £1m deal than in closing it yourself.</li><li>Commercial Acumen: You speak the language of the C-suite (ROI, EBITDA, Capex vs. Opex) and can translate technical GCP capabilities into financial outcomes.</li><li>Resilience: You thrive in the "fluidity" of a scale-up where you have the autonomy to build processes, not just follow them.</li></ul>Why Join Us?We aren't just another GCP partner. We are the leaders in Agentic AI and MLOps. You will be selling the most cutting-edge technology on the market today, backed by an engineering team that is second to none.

Head of Sales UK

As the Head of Sales (UK), you are the engine of our regional growth. Reporting directly to the Managing Director (UK), you will lead a high-performing team of sellers to identify, shape, and close strategic Data and AI transformations.

You are not a "manager from a distance." You will be a mentor who rolls up their sleeves to help a seller navigate a complex stakeholder map at an enterprise, or refine a commercial business case for a GenAI platform. Your success is measured by the Sold Gross Margin of the UK region, sales ROI, and the professional growth of your team.

Your Strategic Mandate

 - Drive High-Value Growth: Own and exceed half-yearly sold gross margin targets for the UK.

 - Champion "Brave Transformation": Ensure the team is selling strategic, multi-year engagements that deliver genuine ROI, not just tactical "body shopping"

 - Mentor & Multiply: Act as an active guide on deals, helping sellers move from "vendor" status to "trusted advisor."

 - Partner with the Ecosystem: Work closely with Google Cloud’s UK sales leadership to ensure we are their "go-to" partner for complex Data and AI transformations.

Key Responsibilities


1. SALES LEADERSHIP & MENTORSHIP

 - Hands-on Deal Shaping: Join discovery calls, help qualify, review proposals, and provide strategic "pre-flight" checks on all major bids (£500k+).

 - The Challenger Coach: Train your team in consultative selling, teaching them how to constructively challenge client assumptions to unlock bigger transformation opportunities.

 - Pipeline Rigor: Maintain a clean, data-driven pipeline, providing the MD and Board with accurate forecasts.


2. COMMERCIAL & STRATEGIC OVERSIGHT

 - Margin Protection: Ensure every deal is sold with a healthy gross margin, balancing competitive pricing with the premium value of our expertise.

 - Industry Focus: Oversee the UK’s primary verticals (FSI, Telco, Media, Agencies), ensuring our GTM messaging resonates with industry-specific pain points.

 - Collaboration: Work in lockstep with the Chief Solution Architect and Head of Delivery to ensure what is "sold" can be "delivered" to our high standards.


3. TEAM BUILDING & CULTURE

 - Scale-Up DNA: Recruit, onboard, and retain top-tier sales talent as we scale the UK footprint.

 - Employee Engagement: Foster a culture of resilience, healthy competition, and continuous learning, aligning with the MD’s goal of high employee engagement.

 - Leading from the front: As part of our leadership, this role would work collaboratively with delivery & technical leadership to run the region and achieve it’s goals

About You: Your Experience & DNA

 - Proven Sales Leadership: You have successfully managed a sales team within a technology consultancy or professional services firm, specifically in the Data/AI/Cloud space.

 - UK Market Expertise: Deep experience navigating the UK enterprise landscape (FTSE 100/250) and a strong network within the Google Cloud ecosystem.

 - The "Mentor" Mindset: You find more professional satisfaction in helping a junior seller close their first £1m deal than in closing it yourself.

 - Commercial Acumen: You speak the language of the C-suite (ROI, EBITDA, Capex vs. Opex) and can translate technical GCP capabilities into financial outcomes.

 - Resilience: You thrive in the "fluidity" of a scale-up where you have the autonomy to build processes, not just follow them.

Why Join Us?

We aren't just another GCP partner. We are the leaders in Agentic AI and MLOps. You will be selling the most cutting-edge technology on the market today, backed by an engineering team that is second to none.

Head of Sales UK 

<h2>Senior Enterprise Account Executive </h2><h3>The Mission: Building the Future of Datatonic Nordics</h3>Datatonic is at a turning point for the next two years of significant, accelerated growth. Having already established a strong foothold in the Nordic region, we are looking to build repeatable, scalable commercial structures aligned with our ambitious revenue goals.We are looking for a high-impact, native-speaking (ideally Swedish) player-coach to architect this future. This is a role for a heavy-weight seller who can consistently create and close large, outcome-led deals while setting the quality bar for our regional expansion. You are joining at the perfect time to shape the journey and transition into a Senior Sales Leadership role within 6 - 12 months.<h3>What You’ll Do: Outcome-Led Growth</h3>You will inherit a strategic book of accounts, but your task is to ‘follow the money’ and develop them from the ground up. We don't want small sprints; we want a builder who can anchor themselves in the market to land large-scale, transformational programs of work.<ul style="min-height:1.5em"><li>Network the Account: You will constantly network and build your book of contacts within your clients. Identifying threads, finding leads, and navigating the client ‘chess board’ to move from tactical conversations to strategic partnerships</li><li>Deep Client Knowledge: You are comfortable being on-site at the client regularly (minimum twice a week). You know that the most valuable "nuggets" of information are found during 1-1 conversations. You listen for the things that are not being said to understand client pain better than they do.</li><li>Outcome-Led Deal Architecture: Create, ideate and lead complex, multi-stakeholder deals (typically £250k+) by focusing on how value is created for the client’s strategy and KPIs.</li><li>Internal Orchestration: You will communicate client needs back to Datatonic with clarity, ensuring we deploy the right technical and coaching support to drive opportunities forward at the right pace</li><li>Challenge the Status Quo: You don't just take orders. You challenge the client’s thinking, translating unstructured business pain into clear commercial scope and narratives.</li></ul><h3>The Non-Negotiables</h3>We are seeking someone with a hunter/business development mindset who can create opportunities based on what they hear. This role requires independence; comfortable operating sellers to motivate themselves to meet their clients.<ul style="min-height:1.5em"><li>Nordic Native &amp; Vertical Expert: You are a native speaker (ideally Swedish) with an existing network to draw on in Telco, Agency/Media, Insurance, Gaming/Entertainment, or our incubation verticals of Retail and Pharma</li><li>Enterprise Heavy-Weight: You have a proven track record in Data, AI, or Cloud and are comfortable leading through ambiguity and early-stage problem definition</li><li>Extreme Independence: You are professionally persistent and self-motivated. You don’t need to be micro-coached to get under the skin of a problem; you do it because it's your job.</li><li>Executive Presence: You have the gravitas to hold a room (not just a call) with senior buyers and C-suite stakeholders.</li><li>Team Player, Not Lone Wolf: While you are a high-performer, you know how to operate as part of a team to unlock materially larger outcomes</li></ul><h3>What Success Looks Like (The First 180 Days)</h3>We measure success by seller behaviours, not just short-term revenue.<ul style="min-height:1.5em"><li>Day 30: You have mapped your book of accounts understanding the key stakeholders to approach, identified the power base, and have secured 5+ on-site discovery sessions to help move the needle in our understanding of the client</li><li>Day 90: You have moved at least one accounts from being ‘static’ to a defined, large-scale program of work by understanding the most value and outcome driven data and AI topics on</li><li>Day 180: You demonstrate high learning velocity and pattern recognition, showing the coaching potential required for your leadership transition</li></ul>

SENIOR ENTERPRISE ACCOUNT EXECUTIVE


THE MISSION: BUILDING THE FUTURE OF DATATONIC NORDICS

Datatonic is at a turning point for the next two years of significant, accelerated growth. Having already established a strong foothold in the Nordic region, we are looking to build repeatable, scalable commercial structures aligned with our ambitious revenue goals.

We are looking for a high-impact, native-speaking (ideally Swedish) player-coach to architect this future. This is a role for a heavy-weight seller who can consistently create and close large, outcome-led deals while setting the quality bar for our regional expansion. You are joining at the perfect time to shape the journey and transition into a Senior Sales Leadership role within 6 - 12 months.


WHAT YOU’LL DO: OUTCOME-LED GROWTH

You will inherit a strategic book of accounts, but your task is to ‘follow the money’ and develop them from the ground up. We don't want small sprints; we want a builder who can anchor themselves in the market to land large-scale, transformational programs of work.

 - Network the Account: You will constantly network and build your book of contacts within your clients. Identifying threads, finding leads, and navigating the client ‘chess board’ to move from tactical conversations to strategic partnerships

 - Deep Client Knowledge: You are comfortable being on-site at the client regularly (minimum twice a week). You know that the most valuable "nuggets" of information are found during 1-1 conversations. You listen for the things that are not being said to understand client pain better than they do.

 - Outcome-Led Deal Architecture: Create, ideate and lead complex, multi-stakeholder deals (typically £250k+) by focusing on how value is created for the client’s strategy and KPIs.

 - Internal Orchestration: You will communicate client needs back to Datatonic with clarity, ensuring we deploy the right technical and coaching support to drive opportunities forward at the right pace

 - Challenge the Status Quo: You don't just take orders. You challenge the client’s thinking, translating unstructured business pain into clear commercial scope and narratives.


THE NON-NEGOTIABLES

We are seeking someone with a hunter/business development mindset who can create opportunities based on what they hear. This role requires independence; comfortable operating sellers to motivate themselves to meet their clients.

 - Nordic Native & Vertical Expert: You are a native speaker (ideally Swedish) with an existing network to draw on in Telco, Agency/Media, Insurance, Gaming/Entertainment, or our incubation verticals of Retail and Pharma

 - Enterprise Heavy-Weight: You have a proven track record in Data, AI, or Cloud and are comfortable leading through ambiguity and early-stage problem definition

 - Extreme Independence: You are professionally persistent and self-motivated. You don’t need to be micro-coached to get under the skin of a problem; you do it because it's your job.

 - Executive Presence: You have the gravitas to hold a room (not just a call) with senior buyers and C-suite stakeholders.

 - Team Player, Not Lone Wolf: While you are a high-performer, you know how to operate as part of a team to unlock materially larger outcomes


WHAT SUCCESS LOOKS LIKE (THE FIRST 180 DAYS)

We measure success by seller behaviours, not just short-term revenue.

 - Day 30: You have mapped your book of accounts understanding the key stakeholders to approach, identified the power base, and have secured 5+ on-site discovery sessions to help move the needle in our understanding of the client

 - Day 90: You have moved at least one accounts from being ‘static’ to a defined, large-scale program of work by understanding the most value and outcome driven data and AI topics on

 - Day 180: You demonstrate high learning velocity and pattern recognition, showing the coaching potential required for your leadership transition

Senior Enterprise Account Executive

At Syntio, Datatonic Company, we design and deliver data-driven and AI-powered solutions that help world-class businesses transform how they work. Our teams bring together expertise in data engineering, analytics, and machine learning to build scalable, future-ready systems that unlock insight, efficiency, and innovation. The Role We’re looking for a Delivery / Project Manager to ensure the smooth and successful delivery of projects across AI, Data, and Engineering for our clients. This role is ideal for someone who combines strong project and people management skills with a genuine passion for technology and innovation. You’ll oversee the full delivery lifecycle — from planning and execution to optimization and stakeholder alignment — ensuring projects run efficiently, meet expectations, and deliver real business value. Key Responsibilities • Lead end-to-end project delivery: scope, resourcing, timelines, reporting, communication, and financials. • Maintain high-quality delivery standards and ensure strong client satisfaction across projects. • Apply and adapt Agile methodologies (Scrum, Kanban, hybrid) to fit each team’s and client’s needs. • Track and assess project performance, proactively identifying risks and improvement areas. • Drive clear and transparent stakeholder communication, managing expectations at all levels. • Monitor project health, including risks, sentiment, and financials. • Lead and support cross-functional teams, fostering collaboration, accountability, and continuous improvement. • Maintain accurate RAG/RAID tracking and provide clear visibility into project status. Requirements<ul style="min-height:1.5em"><li>Proven experience in project or delivery management, ideally within a tech, consulting, or SaaS environment.</li><li>Strong understanding of Agile, hybrid, and traditional delivery frameworks.</li><li>Skilled in JIRA or similar project management tools.</li><li>Excellent stakeholder management and communication skills (internal and client-facing).</li><li>Demonstrated people management experience — mentoring, coaching, and developing teams within your projects</li><li>A structured, proactive, and solution-oriented mindset. </li></ul>Nice to Have<ul style="min-height:1.5em"><li>Experience working in tech consulting — exposure to a variety of projects and clients. Previous experience in a small agency or tech company, where adaptability and ownership are key.</li><li>Familiarity with foreign markets and international clients.</li><li>Scrum, Agile, or Project Management certification (e.g. CSM, Prince2, AgilePM).</li><li>Experience with CRM tools (e.g. Salesforce).</li></ul>Why Join Us?<ul style="min-height:1.5em"><li>Engage in diverse and exciting projects</li><li>Opportunities for continuous learning and growth</li><li>Certification plans and Syntio's extensive library</li><li>Attractive salary and benefits</li><li>You will be encouraged to bring fresh ideas to the table and experiment daily</li></ul>

At Syntio, Datatonic Company, we design and deliver data-driven and AI-powered solutions that help world-class businesses transform how they work.
Our teams bring together expertise in data engineering, analytics, and machine learning to build scalable, future-ready systems that unlock insight, efficiency, and innovation.

The Role

We’re looking for a Delivery / Project Manager to ensure the smooth and successful delivery of projects across AI, Data, and Engineering for our clients.
This role is ideal for someone who combines strong project and people management skills with a genuine passion for technology and innovation. You’ll oversee the full delivery lifecycle — from planning and execution to optimization and stakeholder alignment — ensuring projects run efficiently, meet expectations, and deliver real business value.

Key Responsibilities


• Lead end-to-end project delivery: scope, resourcing, timelines, reporting, communication, and financials.
• Maintain high-quality delivery standards and ensure strong client satisfaction across projects.
• Apply and adapt Agile methodologies (Scrum, Kanban, hybrid) to fit each team’s and client’s needs.
• Track and assess project performance, proactively identifying risks and improvement areas.
• Drive clear and transparent stakeholder communication, managing expectations at all levels.
• Monitor project health, including risks, sentiment, and financials.
• Lead and support cross-functional teams, fostering collaboration, accountability, and continuous improvement.
• Maintain accurate RAG/RAID tracking and provide clear visibility into project status.

Requirements

 - Proven experience in project or delivery management, ideally within a tech, consulting, or SaaS environment.

 - Strong understanding of Agile, hybrid, and traditional delivery frameworks.

 - Skilled in JIRA or similar project management tools.

 - Excellent stakeholder management and communication skills (internal and client-facing).

 - Demonstrated people management experience — mentoring, coaching, and developing teams within your projects

 - A structured, proactive, and solution-oriented mindset.
   
   

Nice to Have

 - Experience working in tech consulting — exposure to a variety of projects and clients.
   Previous experience in a small agency or tech company, where adaptability and ownership are key.

 - Familiarity with foreign markets and international clients.

 - Scrum, Agile, or Project Management certification (e.g. CSM, Prince2, AgilePM).

 - Experience with CRM tools (e.g. Salesforce).

Why Join Us?

 - Engage in diverse and exciting projects

 - Opportunities for continuous learning and growth

 - Certification plans and Syntio's extensive library

 - Attractive salary and benefits

 - You will be encouraged to bring fresh ideas to the table and experiment daily

Delivery Manager

Senior Platform Engineer (Cloud &amp; AI)About The Role: We are reimagining what it means to run Data and AI platforms. At Datatonic, Managed Services isn't about "maintenance", it’s about Continuous Engineering. We are looking for a foundational Senior Engineer to join us in Croatia to bridge the gap between high-level architecture and production excellence.This is an engineering-first role. You won't be sitting in a traditional support queue; you will be designing the AI-driven systems that monitor, optimize, and evolve our clients’ GCP environments. You will play a central role in shaping our "XOps" (FinOps, MLOps, AIOps) strategy, building autonomous agents that ensure some of the world’s most sophisticated AI platforms stay reliable and cost-effective.Key Responsibilities:<ul style="min-height:1.5em"><li>Technical Ownership: Design and maintain the backend services and automation layers that power our managed platforms.</li><li>AI-Augmented Operations: Build and deploy AI Agents and evaluation frameworks to automate anomaly detection, cost-optimization, and model health checks.</li><li>Platform Evolution: Lead "Minor Feature" development implementing high-impact improvements and architectural tweaks to keep client platforms modern.</li><li>The Strategic Advisor: Collaborate with architects and client stakeholders to identify "Day 2" risks and provide technical solutions before they impact the business.</li><li>Engineering Excellence: Apply the "80/20" rule dedicating a portion of your time to internal R&amp;D and building the automation tools that eliminate manual toil.</li></ul>What We’re Looking For:<ul style="min-height:1.5em"><li>Experience: 5+ years of software engineering experience, with a proven track record of building and running production systems.</li><li>GCP Expertise: Deep technical knowledge of Google Cloud and Google Cloud tools (e.g., BigQuery, Dataflow, DataProc, Dataplex, Composer, Vertex, Looker, etc.). You understand how to architect for performance and cost.</li><li>Tech Stack: Proficiency in Python, and a solid grasp of modern CI/CD, IaC, and containerization.</li><li>AI/ML Literacy: A strong interest in MLOps and the challenges of deploying and monitoring Large Language Models (LLMs).</li><li>Mindset: You are a versatile engineer who takes extreme ownership. You enjoy the "puzzle" of finding why a system is sub-optimal and building the code to fix it permanently.</li></ul>

Senior Platform Engineer (Cloud & AI)

About The Role: We are reimagining what it means to run Data and AI platforms. At Datatonic, Managed Services isn't about "maintenance", it’s about Continuous Engineering. We are looking for a foundational Senior Engineer to join us in Croatia to bridge the gap between high-level architecture and production excellence.

This is an engineering-first role. You won't be sitting in a traditional support queue; you will be designing the AI-driven systems that monitor, optimize, and evolve our clients’ GCP environments. You will play a central role in shaping our "XOps" (FinOps, MLOps, AIOps) strategy, building autonomous agents that ensure some of the world’s most sophisticated AI platforms stay reliable and cost-effective.

Key Responsibilities:

 - Technical Ownership: Design and maintain the backend services and automation layers that power our managed platforms.

 - AI-Augmented Operations: Build and deploy AI Agents and evaluation frameworks to automate anomaly detection, cost-optimization, and model health checks.

 - Platform Evolution: Lead "Minor Feature" development implementing high-impact improvements and architectural tweaks to keep client platforms modern.

 - The Strategic Advisor: Collaborate with architects and client stakeholders to identify "Day 2" risks and provide technical solutions before they impact the business.

 - Engineering Excellence: Apply the "80/20" rule dedicating a portion of your time to internal R&D and building the automation tools that eliminate manual toil.

What We’re Looking For:

 - Experience: 5+ years of software engineering experience, with a proven track record of building and running production systems.

 - GCP Expertise: Deep technical knowledge of Google Cloud and Google Cloud tools (e.g., BigQuery, Dataflow, DataProc, Dataplex, Composer, Vertex, Looker, etc.). You understand how to architect for performance and cost.

 - Tech Stack: Proficiency in Python, and a solid grasp of modern CI/CD, IaC, and containerization.

 - AI/ML Literacy: A strong interest in MLOps and the challenges of deploying and monitoring Large Language Models (LLMs).

 - Mindset: You are a versatile engineer who takes extreme ownership. You enjoy the "puzzle" of finding why a system is sub-optimal and building the code to fix it permanently.

Senior Platform Engineer (Cloud & AI)

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>20 days of paid vacation per calendar year</li><li>Public Holidays for your Province of Residence</li><li>5 Wellness days (sickness, personal time, mental health)</li><li>5 Lifestyle days (religious events, volunteer day, sick day)</li><li>Matching Group Retirement Savings Plan after 3 months</li><li>Competitive Group Insurance plan on Day 1 - individual premium paid 100%!</li><li>Virtual Medicine and Family Assistance Program - 100% employer-paid!</li><li>Home office budget - We are 100% remote!<ul style="min-height:1.5em"><li>CAD $70/month for internet/phone expenses</li><li>CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1</li><li>Company-supplied MacBook Pro or Air</li></ul></li><li>CAD $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li><li>Regular company off-sites and meetups</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.

Bonus Points If You Have:

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - 20 days of paid vacation per calendar year

 - Public Holidays for your Province of Residence

 - 5 Wellness days (sickness, personal time, mental health)

 - 5 Lifestyle days (religious events, volunteer day, sick day)

 - Matching Group Retirement Savings Plan after 3 months

 - Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

 - Virtual Medicine and Family Assistance Program - 100% employer-paid!

 - Home office budget - We are 100% remote!
   
   - CAD $70/month for internet/phone expenses
   
   - CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
   
   - Company-supplied MacBook Pro or Air

 - CAD $400/year for books, relevant app subscriptions or an e-reader.

 - Opportunities for paid certifications

 - Opportunities for professional and personal learning through Udemy Business

 - Regular company off-sites and meetups


WHY DATATONIC?

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 4-7 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 4-7 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Machine Learning Engineer

About the jobShape the Future of AI &amp; Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects. What You’ll Do<ul style="min-height:1.5em"><li>Pipeline Development: Design, implement, and automate scalable and resilient CI/CD &amp; DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.</li><li>Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.</li><li>Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation</li><li>Best Practices Advisory: Provide expert advice to customers on DevOps best practices</li><li>Function Optimisation: Establish and enhance DevOps functions within clients’ organisations</li><li>Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery </li></ul>What You’ll Bring<ul style="min-height:1.5em"><li>DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer</li><li>Programming Skills: Proficiency in Python, Java, or Go programming languages</li><li>CI/CD Expertise: In-depth knowledge of CI/CD tools and processes</li><li>Tech Enthusiasm: Strong passion for technology and a drive to continuously learn</li><li>Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts</li><li>Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.</li><li>Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes</li></ul>Bonus Points If You Have<ul style="min-height:1.5em"><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation</li><li>SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles</li><li>Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud</li></ul>Why Join Us?You’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.Benefits we offer include:<ul style="min-height:1.5em"><li>27 days of vacation</li><li>Supplementary and additional health insurance</li><li>50% covered MultiSport membership</li><li>Hybrid working model for flexibility and balance</li></ul>

About the job

Shape the Future of AI & Data with Us

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

Your Mission

As a DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations.

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.

What You’ll Do

 - Pipeline Development: Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.

 - Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.

 - Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers

 - Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation

 - Best Practices Advisory: Provide expert advice to customers on DevOps best practices

 - Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

 - Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery
   

What You’ll Bring

 - DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer

 - Programming Skills: Proficiency in Python, Java, or Go programming languages

 - CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

 - Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

 - Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

 - Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.

 - Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes

Bonus Points If You Have

 - Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation

 - SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

 - Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud

Why Join Us?

You’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.

Benefits we offer include:

 - 27 days of vacation

 - Supplementary and additional health insurance

 - 50% covered MultiSport membership

 - Hybrid working model for flexibility and balance

DevOps Engineer (Croatia)

Let's talk

LinkedIn

Twitter

Medium

Youtube

<h2>Spontaneous 
application</h2>
Can’t see a vacancy that matches your profile in our current jobs? Datatonic is constantly looking for talented professionals, so please feel free to send us your spontaneous application. You will be contacted first if your profile matches one of our future vacancies.

Contact Page Form

<h1 class="uber" style="text-align: center;">Vacancies</h1>
Learn about cloud data engineering, modern BI, advanced data analytics and AI with our latest on-demand videos, how-to guides and blogs.

Atelier d'IA

Migration de données vers le cloud

Gemini Enterprise

Gemini Enterprise pour le secteur des services financiers

Gemini Enterprise pour les médias

Gemini Enterprise pour le commerce de détail

IA générative

Assistant Créatif

Engagement des fans

Assistant Gameplay

Recherche et découverte de médias

Assistant Retail

Looker

Services gérés

Analyse marketing

Services financiers

Jeux

Les médias

Vente au détail

Télécommunications

Evénements

Perspectives

Livres blancs

Postes à pourvoir

Responsable de la livraison

Ingénieur Machine Learning Principal

Ingénieur Senior en Apprentissage Automatique (Apprentissage par Renforcement)

Ingénieur en Machine Learning

Ingénieur Data

Architecte de Données Principal

Ingénieur Data Senior

Candidature
spontanée