<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in cloud &amp; 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 Cloud Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.</li><li>Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</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, and data engineers.</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Certifications: Google Cloud or AWS Certified Solutions Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</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>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.</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-enrollment 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><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.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in cloud & 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 Cloud Architect you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is client facing, working closely with business and technical influencers, and will require a technical background but the ability to turn the technical, into something digestible for clients.

Successful candidates will bring multiple years’ experience with cloud platforms, preferably with Google Cloud. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.


WHAT YOU’LL DO

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.

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

 - Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.

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

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - 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, and data engineers.

 - Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.

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


WHAT YOU’LL BRING

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

Bonus Points If You Have:

 - Certifications: Google Cloud or AWS Certified Solutions Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

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

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


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-enrollment 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.

AI Architect (Cloud GCP)

<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 Principal Machine Learning Engineer (equivalent to a Lead Engineer in many organisations), you'll be a visionary leader, driving technical excellence and innovation. You'll not only engineer beautiful code in Python but also set the standard for high-quality engineering and best practices across production software and rapid prototypes.This is a hands-on technical role with significant leadership responsibilities. You will lead projects, mentor junior and senior engineers, and actively drive client discussions. Your responsibilities will involve building trusted relationships with prospects, defining strategic approaches to use machine learning to solve complex problems, overseeing project scoping, and ensuring the successful, high-impact delivery of these engagements. You will be a key voice in shaping our technical direction and fostering a culture of innovation.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 ambiguous and complex requirements, translating them into clear technical specifications and leading the development of innovative models to solve real-world, high-impact problems.</li><li>Data Science: Lead and oversee ML experiments, driving the selection of appropriate programming languages and machine learning libraries, and establishing best practices for experimental design and analysis.</li><li>GenAI: Pioneer the application of generative AI to develop groundbreaking and innovative solutions, setting technical direction and strategy.</li><li>Optimisation: Architect and implement advanced optimisation strategies for machine learning solutions, ensuring peak performance, scalability, and cost-efficiency across large-scale systems.</li><li>Custom Code: Design and implement highly tailored, complex machine learning code to meet unique and challenging business needs, often involving novel approaches.</li><li>Data Engineering: Own and define the strategy for efficient data flow between complex databases and distributed backend systems, ensuring data integrity and accessibility for ML initiatives.</li><li>MLOps: Establish and champion MLOps best practices, leading the automation of ML workflows, and driving advancements in testing, reproducibility, and robust feature/metadata storage solutions.</li><li>ML Architecture Design: Lead the design and evolution of sophisticated machine learning architectures, leveraging advanced Google Cloud tools and services to build resilient and scalable platforms.</li><li>Engineering Software for Production: Drive the development and deployment of production-grade software for machine learning and data-driven solutions, ensuring high standards of code quality, reliability, and maintainability.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 5+ years of progressive experience as a Machine Learning Engineer, with a significant portion in a leadership or consulting capacity, demonstrating a proven ability to lead complex projects and teams. This includes experience in technical leadership, guiding architectural decisions, and potentially people leadership or mentorship.</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: Exceptional communication, negotiation, and presentation skills to effectively articulate complex technical concepts to diverse audiences, including senior leadership and clients, and to influence strategic decisions.</li><li>Leadership: Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.</li></ul><h3>Bonus Points If You Have:</h3><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 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 Principal Machine Learning Engineer (equivalent to a Lead Engineer in many organisations), you'll be a visionary leader, driving technical excellence and innovation. You'll not only engineer beautiful code in Python but also set the standard for high-quality engineering and best practices across production software and rapid prototypes.

This is a hands-on technical role with significant leadership responsibilities. You will lead projects, mentor junior and senior engineers, and actively drive client discussions. Your responsibilities will involve building trusted relationships with prospects, defining strategic approaches to use machine learning to solve complex problems, overseeing project scoping, and ensuring the successful, high-impact delivery of these engagements. You will be a key voice in shaping our technical direction and fostering a culture of innovation.

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 ambiguous and complex requirements, translating them into clear technical specifications and leading the development of innovative models to solve real-world, high-impact problems.

 - Data Science: Lead and oversee ML experiments, driving the selection of appropriate programming languages and machine learning libraries, and establishing best practices for experimental design and analysis.

 - GenAI: Pioneer the application of generative AI to develop groundbreaking and innovative solutions, setting technical direction and strategy.

 - Optimisation: Architect and implement advanced optimisation strategies for machine learning solutions, ensuring peak performance, scalability, and cost-efficiency across large-scale systems.

 - Custom Code: Design and implement highly tailored, complex machine learning code to meet unique and challenging business needs, often involving novel approaches.

 - Data Engineering: Own and define the strategy for efficient data flow between complex databases and distributed backend systems, ensuring data integrity and accessibility for ML initiatives.

 - MLOps: Establish and champion MLOps best practices, leading the automation of ML workflows, and driving advancements in testing, reproducibility, and robust feature/metadata storage solutions.

 - ML Architecture Design: Lead the design and evolution of sophisticated machine learning architectures, leveraging advanced Google Cloud tools and services to build resilient and scalable platforms.

 - Engineering Software for Production: Drive the development and deployment of production-grade software for machine learning and data-driven solutions, ensuring high standards of code quality, reliability, and maintainability.


WHAT YOU’LL BRING

 - Experience: 5+ years of progressive experience as a Machine Learning Engineer, with a significant portion in a leadership or consulting capacity, demonstrating a proven ability to lead complex projects and teams. This includes experience in technical leadership, guiding architectural decisions, and potentially people leadership or mentorship.

 - 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: Exceptional communication, negotiation, and presentation skills to effectively articulate complex technical concepts to diverse audiences, including senior leadership and clients, and to influence strategic decisions.

 - Leadership: Demonstrated ability to lead, inspire, and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.


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.

Principal 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 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><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!Salary: CAD 175,000 - 200,000.<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


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 175,000 - 200,000.


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 RL 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 RL 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 

<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 be a key individual contributor, engineering beautiful code in Python and taking pride in what you produce. You'll advocate for high-quality engineering and best practices in production software and rapid prototypes.While this is a hands-on technical role, you'll also contribute to client discussions and help scope projects, applying machine learning creatively to solve problems.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 well-defined requirements and develop models to solve specific problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries, focusing on established methodologies.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise existing machine learning solutions for performance and scalability under guidance.</li><li>Custom Code: Implement tailored machine learning code for specific features or modules.</li><li>Data Engineering: Contribute to ensuring 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 of experience as a Machine Learning Engineer, preferably with a consulting background, demonstrating a strong track record of successful project delivery on individual contributions.</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 skills to effectively convey technical concepts to team members and stakeholders.</li></ul><h3>Bonus Points If You Have:</h3><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 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 be a key individual contributor, engineering beautiful code in Python and taking pride in what you produce. You'll advocate for high-quality engineering and best practices in production software and rapid prototypes.

While this is a hands-on technical role, you'll also contribute to client discussions and help scope projects, applying machine learning creatively to solve problems.

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 well-defined requirements and develop models to solve specific problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries, focusing on established methodologies.

 - GenAI: Leverage generative AI to develop innovative solutions.

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

 - Custom Code: Implement tailored machine learning code for specific features or modules.

 - Data Engineering: Contribute to ensuring 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 of experience as a Machine Learning Engineer, preferably with a consulting background, demonstrating a strong track record of successful project delivery on individual contributions.

 - 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 skills to effectively convey technical concepts to team members and stakeholders.


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

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.Your MissionAs a Senior Full-Stack Engineer, AI Applications, you'll be instrumental in building innovative, end-to-end AI-powered solutions. You'll take pride in crafting beautiful, production-ready code across both front-end and back-end systems, ensuring seamless user experiences and robust functionality. You'll be an advocate for high-quality engineering and best practices in all stages of software development, from rapid prototypes to scalable production deployments.While this is a hands-on technical role, we're particularly interested in candidates with a desire to lead projects and actively engage in client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to integrate machine learning into user-facing applications, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong full-stack development fundamentals combined with an understanding of Generative AI concepts. You'll know the right tools and approaches for building responsive UIs, robust APIs, and well-tested scalable applications. Furthermore, you'll need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.What You’ll Do<ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague business requirements and design, develop, and deploy full-stack applications that leverage AI to solve real-world problems.</li><li>AI Application Development: Build and maintain scalable, secure web applications, including user interfaces (UI) and application programming interfaces (API), that integrate and expose AI capabilities.</li><li>Performance Optimisation: Optimise full-stack solutions for performance, scalability, and responsiveness across both front-end and back-end systems.</li><li>AI Application Lifecycle: Automate the deployment, monitoring, and maintenance of AI-powered applications, focusing on reliability, testing, and continuous delivery.</li><li>AI Application Solution Architecture: Create comprehensive architecture designs for AI applications, utilising Google Cloud tools and services for both application and AI components.</li><li>Engineering Software for Production: Build and deploy production-grade, secure, and maintainable software for AI and data-driven solutions.</li></ul>What You’ll Bring<ul style="min-height:1.5em"><li>Experience: 3+ years as a Full-Stack Engineer, including some experience in AI application development.</li><li>Programming Skills: Proficiency in Python (for backend services, APIs, and ML integration) and JavaScript/TypeScript (for front-end development). Capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Front-End Expertise: Strong hands-on experience with modern front-end frameworks (e.g., React, Angular, Vue.js) and building responsive user interfaces.</li><li>Back-End Expertise: Experience designing and implementing RESTful APIs, microservices, and integrating with databases.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure, including deploying and managing applications.</li><li>Software Engineering: Good knowledge of foundational software engineering practices, including design patterns, testing, and version control.</li><li>Database Proficiency: Strong experience integrating applications with SQL and NoSQL databases</li><li>Scalability: Experience scaling applications using cloud-native services</li><li>Security &amp; Authentication: Demonstrable understanding and practical experience with common web security vulnerabilities, secure coding practices, and various authentication and authorisation protocols</li><li>UI/UX Principles: Understanding of user interface (UI) and user experience (UX) design principles to create intuitive and engaging AI applications.</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts and collaborate with clients.</li><li>Collaboration &amp; Mentorship: Work closely with Data Scientists, ML Engineers, Architects, and product managers, and mentor junior team members.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google Cloud Professional Cloud Developer, etc.).</li><li>Hands-on experience in Machine Learning or Generative AI.</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-enrollment 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><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.

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 Full-Stack Engineer, AI Applications, you'll be instrumental in building innovative, end-to-end AI-powered solutions. You'll take pride in crafting beautiful, production-ready code across both front-end and back-end systems, ensuring seamless user experiences and robust functionality. You'll be an advocate for high-quality engineering and best practices in all stages of software development, from rapid prototypes to scalable production deployments.

While this is a hands-on technical role, we're particularly interested in candidates with a desire to lead projects and actively engage in client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to integrate machine learning into user-facing applications, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong full-stack development fundamentals combined with an understanding of Generative AI concepts. You'll know the right tools and approaches for building responsive UIs, robust APIs, and well-tested scalable applications. Furthermore, you'll 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 business requirements and design, develop, and deploy full-stack applications that leverage AI to solve real-world problems.

 - AI Application Development: Build and maintain scalable, secure web applications, including user interfaces (UI) and application programming interfaces (API), that integrate and expose AI capabilities.

 - Performance Optimisation: Optimise full-stack solutions for performance, scalability, and responsiveness across both front-end and back-end systems.

 - AI Application Lifecycle: Automate the deployment, monitoring, and maintenance of AI-powered applications, focusing on reliability, testing, and continuous delivery.

 - AI Application Solution Architecture: Create comprehensive architecture designs for AI applications, utilising Google Cloud tools and services for both application and AI components.

 - Engineering Software for Production: Build and deploy production-grade, secure, and maintainable software for AI and data-driven solutions.

What You’ll Bring

 - Experience: 3+ years as a Full-Stack Engineer, including some experience in AI application development.

 - Programming Skills: Proficiency in Python (for backend services, APIs, and ML integration) and JavaScript/TypeScript (for front-end development). Capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Front-End Expertise: Strong hands-on experience with modern front-end frameworks (e.g., React, Angular, Vue.js) and building responsive user interfaces.

 - Back-End Expertise: Experience designing and implementing RESTful APIs, microservices, and integrating with databases.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure, including deploying and managing applications.

 - Software Engineering: Good knowledge of foundational software engineering practices, including design patterns, testing, and version control.

 - Database Proficiency: Strong experience integrating applications with SQL and NoSQL databases

 - Scalability: Experience scaling applications using cloud-native services

 - Security & Authentication: Demonstrable understanding and practical experience with common web security vulnerabilities, secure coding practices, and various authentication and authorisation protocols

 - UI/UX Principles: Understanding of user interface (UI) and user experience (UX) design principles to create intuitive and engaging AI applications.

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

 - Collaboration & Mentorship: Work closely with Data Scientists, ML Engineers, Architects, and product managers, and mentor junior team members.

Bonus Points If You Have:

 - Scale-up experience.

 - Cloud certifications (Google Cloud Professional Cloud Developer, etc.).

 - Hands-on experience in Machine Learning or Generative AI.




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-enrollment 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 Full-Stack Engineer 

<h2>Marketing Executive 👩‍💼🧑‍💼</h2>Datatonic is looking for a highly motivated and well-rounded Marketing Executive with a strong grasp of the full marketing mix to support and execute integrated B2B marketing campaigns. You’ll play a key role in driving demand and pipeline generation, working closely with Sales, Partnerships, and Product teams. This role is ideal for someone who thrives in a fast-paced, results-driven environment and is passionate about delivering impactful marketing that directly supports business growth. <h3>What you’ll do 🚀</h3>+ Develop and execute multi-channel B2B marketing campaigns targeting enterprise audiences+ Support Account-Based Marketing (ABM) initiatives to engage high-value accounts in close alignment with sales+ Partner with the sales team to build pipeline, influence deal velocity, and provide relevant collateral and tools+ Track and measure marketing influence on pipeline and revenue; adapt strategy based on performance data+ Create compelling content including case studies, whitepapers, emails, landing pages, and sales assets+ Ensure content aligns with brand messaging and supports the buyer journey across all stages+ Plan and deliver events, webinars, and trade shows to engage and convert prospects+ Manage and grow strategic partner marketing relationships to extend reach and co-create campaigns+ Monitor and report on campaign performance, ROI, and key marketing KPIs+ Use performance insights to optimize campaigns and demonstrate marketing’s contribution to revenue<h3>What you’ll bring 🤝</h3>+ Experience in a B2B marketing role, ideally within enterprise or tech+ Strong understanding of the full marketing mix with experience in both digital and offline channels+ Hands-on experience with ABM, campaign management, and content development.+ Proven track record in working closely with sales teams to build and accelerate pipelines 💵+ Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.).+ Analytical mindset with experience in pipeline tracking and ROI reporting 📊+ Project Management, Organisation, Stakeholder Management, Communication &amp; Agility <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: 20 days of paid vacation per calendar year (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><h3>Why us?</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!

MARKETING EXECUTIVE 👩‍💼🧑‍💼

Datatonic is looking for a highly motivated and well-rounded Marketing Executive with a strong grasp of the full marketing mix to support and execute integrated B2B marketing campaigns. You’ll play a key role in driving demand and pipeline generation, working closely with Sales, Partnerships, and Product teams. This role is ideal for someone who thrives in a fast-paced, results-driven environment and is passionate about delivering impactful marketing that directly supports business growth.



WHAT YOU’LL DO 🚀

+ Develop and execute multi-channel B2B marketing campaigns targeting enterprise audiences

+ Support Account-Based Marketing (ABM) initiatives to engage high-value accounts in close alignment with sales

+ Partner with the sales team to build pipeline, influence deal velocity, and provide relevant collateral and tools

+ Track and measure marketing influence on pipeline and revenue; adapt strategy based on performance data

+ Create compelling content including case studies, whitepapers, emails, landing pages, and sales assets

+ Ensure content aligns with brand messaging and supports the buyer journey across all stages

+ Plan and deliver events, webinars, and trade shows to engage and convert prospects

+ Manage and grow strategic partner marketing relationships to extend reach and co-create campaigns

+ Monitor and report on campaign performance, ROI, and key marketing KPIs

+ Use performance insights to optimize campaigns and demonstrate marketing’s contribution to revenue


WHAT YOU’LL BRING 🤝

+ Experience in a B2B marketing role, ideally within enterprise or tech

+ Strong understanding of the full marketing mix with experience in both digital and offline channels

+ Hands-on experience with ABM, campaign management, and content development.

+ Proven track record in working closely with sales teams to build and accelerate pipelines 💵

+ Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Marketo, etc.).

+ Analytical mindset with experience in pipeline tracking and ROI reporting 📊

+ Project Management, Organisation, Stakeholder Management, Communication & Agility



WHAT’S IN IT FOR YOU? 🏋💵☀️

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

 - Holiday: 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 US?

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!

Marketing Executive 

Workforce Planning LeadAs Google Cloud's premier partner in AI, 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. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.As the Workforce Planning Lead, you won't just manage resources; you'll be the strategic force that optimises how we deliver our services to clients worldwide. You will take charge of our global delivery operations, building and leading a high-performing team that ensures our projects are not only successful but also profitable. This role is a unique opportunity to shape our operational strategy and directly influence company-wide success.You will have the autonomy to design and implement new processes, working hand-in-hand with senior leaders in Sales, Delivery, and Finance to drive efficiency. If you are a proactive problem-solver with a knack for process improvement, and you thrive on using data to make critical decisions, this is the role for you.<h2>What You'll Be Doing: Key Responsibilities</h2><h3>Strategic Leadership &amp; Team Management</h3><ul style="min-height:1.5em"><li>Establish a Vision: Build and lead a new, global Delivery Operations team, made up of our current talented team members. Your leadership will define the team’s culture and operational model.</li><li>Drive Process Innovation: Design, implement, and continuously improve global resource management processes. You will be a key leader in optimizing how we staff projects, ensuring we have the right people in the right places at the right time.</li><li>Mentor and Develop: Guide and manage your team, providing them with the support and coaching needed to excel in their roles and grow their careers.</li></ul><h3>Global Resource &amp; Capacity Management</h3><ul style="min-height:1.5em"><li>Maximise Impact and Profitability: Be the owner of our utilization metrics, ensuring that our billable resources are deployed effectively to meet revenue targets.</li><li>Be a Proactive Planner: Conduct forward-looking capacity planning across all our global delivery teams (UK, Europe &amp; Americas) and for all service lines (consulting, academy, managed services). You'll identify staffing gaps before they become a problem and work with leadership to build a robust pipeline of talent.</li><li>Orchestrate Project Success: Oversee resource assignments and requests, and partner with Delivery Managers to schedule projects for optimal delivery and client satisfaction.</li></ul><h3>Operational Excellence &amp; Business Enablement</h3><ul style="min-height:1.5em"><li>Ensure Data Integrity: Govern critical data in our systems to ensure accurate reporting and forecasting. You will be the trusted source of truth for key business metrics.</li><li>Streamline Workflows: Collaborate with stakeholders across the company—from Sales to Finance—to refine standard operating procedures for the entire project lifecycle, from initial opportunity to final delivery and invoicing.</li><li>Elevate Our Reporting: Produce key reports and dashboards for company leadership and executives, providing them with the insights they need to make strategic, data-driven decisions. This includes monitoring and managing timecard submission, billing, and invoicing to ensure smooth and accurate financial operations.</li></ul><h3>Who We're Looking For</h3><ul style="min-height:1.5em"><li>Previous experience in a management role, with a track record of leading and developing teams.</li><li>Proven experience in a global resource management function, ideally within a professional services or consulting environment.</li></ul>

Workforce Planning Lead

As Google Cloud's premier partner in AI, 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. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

As the Workforce Planning Lead, you won't just manage resources; you'll be the strategic force that optimises how we deliver our services to clients worldwide. You will take charge of our global delivery operations, building and leading a high-performing team that ensures our projects are not only successful but also profitable. This role is a unique opportunity to shape our operational strategy and directly influence company-wide success.

You will have the autonomy to design and implement new processes, working hand-in-hand with senior leaders in Sales, Delivery, and Finance to drive efficiency. If you are a proactive problem-solver with a knack for process improvement, and you thrive on using data to make critical decisions, this is the role for you.


WHAT YOU'LL BE DOING: KEY RESPONSIBILITIES


STRATEGIC LEADERSHIP & TEAM MANAGEMENT

 - Establish a Vision: Build and lead a new, global Delivery Operations team, made up of our current talented team members. Your leadership will define the team’s culture and operational model.

 - Drive Process Innovation: Design, implement, and continuously improve global resource management processes. You will be a key leader in optimizing how we staff projects, ensuring we have the right people in the right places at the right time.

 - Mentor and Develop: Guide and manage your team, providing them with the support and coaching needed to excel in their roles and grow their careers.


GLOBAL RESOURCE & CAPACITY MANAGEMENT

 - Maximise Impact and Profitability: Be the owner of our utilization metrics, ensuring that our billable resources are deployed effectively to meet revenue targets.

 - Be a Proactive Planner: Conduct forward-looking capacity planning across all our global delivery teams (UK, Europe & Americas) and for all service lines (consulting, academy, managed services). You'll identify staffing gaps before they become a problem and work with leadership to build a robust pipeline of talent.

 - Orchestrate Project Success: Oversee resource assignments and requests, and partner with Delivery Managers to schedule projects for optimal delivery and client satisfaction.


OPERATIONAL EXCELLENCE & BUSINESS ENABLEMENT

 - Ensure Data Integrity: Govern critical data in our systems to ensure accurate reporting and forecasting. You will be the trusted source of truth for key business metrics.

 - Streamline Workflows: Collaborate with stakeholders across the company—from Sales to Finance—to refine standard operating procedures for the entire project lifecycle, from initial opportunity to final delivery and invoicing.

 - Elevate Our Reporting: Produce key reports and dashboards for company leadership and executives, providing them with the insights they need to make strategic, data-driven decisions. This includes monitoring and managing timecard submission, billing, and invoicing to ensure smooth and accurate financial operations.


WHO WE'RE LOOKING FOR

 - Previous experience in a management role, with a track record of leading and developing teams.

 - Proven experience in a global resource management function, ideally within a professional services or consulting environment.

Workforce Planning Lead

<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) 

<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.

Machine Learning Engineer 

<h1>🚀 Resource Manager - Zagreb</h1><h2>About Datatonic</h2>As Google Cloud's premier partner in AI, Datatonic provides 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. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data &amp; analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.<h2>🎯 The Role: Resource Manager</h2>We are seeking a diligent and proactive Resource Manager to support our Global Delivery team, working alongside existing Resource Managers and other Operations Managers, and reporting into the Resource Management Lead.The ideal candidate will be instrumental in ensuring the efficiency and effectiveness of our consulting organisation, primarily through managing resources—assigning the right people to the right projects at the right time. You will also manage crucial project and people data, streamline administrative tasks, maintain our Professional Services Automation (PSA) systems, and assist with reporting on key metrics to senior leadership.Given the dynamic and fast-paced nature of working in a technology consultancy, this role would suit someone with impeccable organisation skills and the ability to adapt to the ever-changing requirements of our projects. This is a great opportunity to develop your operational skills as you work with Project Managers, Sales Managers, Finance and collaborate with multiple engineering teams to ensure that our projects are able to run smoothly.<h3>Key Responsibilities:</h3><ul style="min-height:1.5em"><li>Resource and Capacity Management:<ul style="min-height:1.5em"><li>Assisting the process of creating resource requests and assigning people to projects based on their skills, experience, availability, and career goals.</li><li>Monitoring consulting employees’ workload, utilisation, and overtime.</li><li>Assisting in capacity planning by monitoring forecasts and proactively identifying gaps in resource capacity by skill and role</li></ul></li><li>System Data Management (PSA):<ul style="min-height:1.5em"><li>Managing data entered in systems such as project delivery timelines, resource assignments, budgets, and skills profiles.</li><li>Monitoring timesheet submission compliance and ensuring accuracy of time logged by consultants.</li></ul></li><li>Operational Support and Process Improvement:<ul style="min-height:1.5em"><li>Assisting Delivery Managers in planning project kick-offs, generating invoices, and project close-outs.</li><li>Collaborating with Operations, Delivery Managers, Sales Leadership, and Finance to continually improve, document, and train employees on standard operating procedures throughout the project lifecycle.</li></ul></li><li>Reporting and Administration:<ul style="min-height:1.5em"><li>Preparing reporting of key metrics within delivery for executive and board-level meetings.</li><li>Setup and coordinating meetings with key internal stakeholders across Delivery, Sales, and Finance.</li></ul></li></ul><h2>✅ Requirements:</h2><ul style="min-height:1.5em"><li>Highly organised approach to your work and able to juggle competing priorities.</li><li>Keen attention to detail to ensure accuracy of data in key systems.</li><li>Strong analytical and problem-solving skills.</li><li>A natural communicator with an engaging and considerate approach.</li><li>A drive to develop communication skills in order to manage stakeholder relationships of all levels.</li><li>Desire to join a diverse, multi-national team of AI &amp; Cloud Engineering enthusiasts.</li></ul><h3>What would really set you apart:</h3><ul style="min-height:1.5em"><li>Training or hands-on experience in standard project management or agile delivery practices.</li><li>Experience working in a consulting or professional services environment.</li><li>Knowledge and experience of working with CRM and Analytics Tooling.</li></ul>

🚀 RESOURCE MANAGER - ZAGREB


ABOUT DATATONIC

As Google Cloud's premier partner in AI, Datatonic provides 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. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.


🎯 THE ROLE: RESOURCE MANAGER

We are seeking a diligent and proactive Resource Manager to support our Global Delivery team, working alongside existing Resource Managers and other Operations Managers, and reporting into the Resource Management Lead.

The ideal candidate will be instrumental in ensuring the efficiency and effectiveness of our consulting organisation, primarily through managing resources—assigning the right people to the right projects at the right time. You will also manage crucial project and people data, streamline administrative tasks, maintain our Professional Services Automation (PSA) systems, and assist with reporting on key metrics to senior leadership.

Given the dynamic and fast-paced nature of working in a technology consultancy, this role would suit someone with impeccable organisation skills and the ability to adapt to the ever-changing requirements of our projects. This is a great opportunity to develop your operational skills as you work with Project Managers, Sales Managers, Finance and collaborate with multiple engineering teams to ensure that our projects are able to run smoothly.


KEY RESPONSIBILITIES:

 - Resource and Capacity Management:
   
   - Assisting the process of creating resource requests and assigning people to projects based on their skills, experience, availability, and career goals.
   
   - Monitoring consulting employees’ workload, utilisation, and overtime.
   
   - Assisting in capacity planning by monitoring forecasts and proactively identifying gaps in resource capacity by skill and role

 - System Data Management (PSA):
   
   - Managing data entered in systems such as project delivery timelines, resource assignments, budgets, and skills profiles.
   
   - Monitoring timesheet submission compliance and ensuring accuracy of time logged by consultants.

 - Operational Support and Process Improvement:
   
   - Assisting Delivery Managers in planning project kick-offs, generating invoices, and project close-outs.
   
   - Collaborating with Operations, Delivery Managers, Sales Leadership, and Finance to continually improve, document, and train employees on standard operating procedures throughout the project lifecycle.

 - Reporting and Administration:
   
   - Preparing reporting of key metrics within delivery for executive and board-level meetings.
   
   - Setup and coordinating meetings with key internal stakeholders across Delivery, Sales, and Finance.


✅ REQUIREMENTS:

 - Highly organised approach to your work and able to juggle competing priorities.

 - Keen attention to detail to ensure accuracy of data in key systems.

 - Strong analytical and problem-solving skills.

 - A natural communicator with an engaging and considerate approach.

 - A drive to develop communication skills in order to manage stakeholder relationships of all levels.

 - Desire to join a diverse, multi-national team of AI & Cloud Engineering enthusiasts.


WHAT WOULD REALLY SET YOU APART:

 - Training or hands-on experience in standard project management or agile delivery practices.

 - Experience working in a consulting or professional services environment.

 - Knowledge and experience of working with CRM and Analytics Tooling.

Resource Manager

<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 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 our first (Canada-based) Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to refine the architectural side of our next-generation machine learning products and helping build the Architecture Practice with standards and best practices.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.Successful candidates will bring a few years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.What You’ll Do<ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Delivery: Contribute to the design and implementation of enterprise-scale Data and AI projects.</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 challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</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, 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></ul> <h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.</li><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li><li>Certifications: Google Cloud Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.</li><li>Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer</li><li>Platform Governance: Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.</li></ul><h3>Bonus Points If You Have:</h3><ul style="min-height:1.5em"><li> Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</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>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.</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 $400/year for books, relevant app subscriptions or an e-reader.</li><li>Opportunities for paid certifications</li><li>Opportunities for professional and personal learning through Udemy Business</li></ul>Regular company off-sites and meetups<h1>Why Datatonic?</h1>Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Salary: CAD 150,000$ - CAD 180,000$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

As our first (Canada-based) Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to refine the architectural side of our next-generation machine learning products and helping build the Architecture Practice with standards and best practices.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science.

Successful candidates will bring a few years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.

What You’ll Do

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Delivery: Contribute to the design and implementation of enterprise-scale Data and AI projects.

 - 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 challenging requirements.

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - 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, 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.
   





WHAT YOU’LL BRING

 - Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

 - Certifications: Google Cloud Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.

 - Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer

 - Platform Governance: Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.


BONUS POINTS IF YOU HAVE:

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

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

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

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


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!

Salary: CAD 150,000$ - CAD 180,000$

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Google Cloud Architect

<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

AI 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

<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 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.<h2>What You’ll Do</h2><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><h2>What You’ll Bring</h2><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><h2>Bonus Points If You Have:</h2><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><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: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.</li><li>Wellness Days: 5 days for personal time, sickness, or other needs.</li><li>Retirement Savings: Group Retirement Savings Plan with matching contributions.</li><li>Health Insurance: Comprehensive group insurance (extended health &amp; dental) with 100% individual premium paid by the employer.</li><li>Telemedicine: 100% employer-paid telemedicine services.</li><li>Remote Work Support: Home office budget provided for our fully remote work environment.</li><li>Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.</li><li>Tech Accessories &amp; Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.</li><li>Work Laptop: Company-supplied MacBook Pro.</li><li>Learning Allowance: CAD $400/year for books or a reading device.</li><li>Certifications: Opportunities for paid certifications.</li><li>Learning Platform Access: Full access to Udemy Business for both professional and personal development.</li><li>Team Engagement: 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. 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 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


WHAT’S IN IT FOR YOU?

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

 - Holiday: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.

 - Wellness Days: 5 days for personal time, sickness, or other needs.

 - Retirement Savings: Group Retirement Savings Plan with matching contributions.

 - Health Insurance: Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer.

 - Telemedicine: 100% employer-paid telemedicine services.

 - Remote Work Support: Home office budget provided for our fully remote work environment.

 - Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.

 - Tech Accessories & Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.

 - Work Laptop: Company-supplied MacBook Pro.

 - Learning Allowance: CAD $400/year for books or a reading device.

 - Certifications: Opportunities for paid certifications.

 - Learning Platform Access: Full access to Udemy Business for both professional and personal development.

 - Team Engagement: 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 DevOps Engineer

<h2>🚀 Head of Managed Services</h2><h3>About the Role</h3>As Google Cloud's premier partner in AI, we deliver cutting-edge data solutions that help world-class businesses future-proof their operations. The Head of Managed Services is a strategic leadership role, directly responsible for the operational success and expansion of our client data platform engagements.You won't just oversee support; you will own the long-term success of our clients' data ecosystems. This role is a high-impact blend of visionary leadership, proactive client partnership, and strategic service delivery optimisation. It is ideal for a hands-on leader who is passionate about empowering people, leveraging technology (especially AI and Data), and shaping the client experience.<h3>What You'll Be Doing: Key Responsibilities</h3>🌟 Strategic Leadership &amp; Team Ownership<ul style="min-height:1.5em"><li>Establish a High-Performance Culture: Lead, mentor, and build a high-calibre Managed Services team, defining the culture and operational model that prioritises reliability, innovation, and continuous learning in data/AI technologies.</li><li>Future-Proofing Talent: Drive the team's development, career paths, and skills growth, with a strong emphasis on mastering modern data engineering, cloud platforms, and emerging AI solutions.</li><li>Maximise Impact: Own resource allocation, workload balancing, and long-term capacity planning to ensure maximum team efficiency and impact against revenue targets.</li></ul>🤝 Client Partnership &amp; Account Growth<ul style="min-height:1.5em"><li>Be the Trusted Point of Contact: Serve as the main strategic partner and executive contact for our key Managed Services clients.</li><li>Orchestrate Client Success: Build deep, long-term relationships, ensuring an exceptional client experience and acting as an advocate for their needs internally.</li><li>Translate Needs into Roadmaps: Proactively identify client challenges and opportunities, translating them into actionable service improvements, automation initiatives, and expansion of our service offerings.</li></ul>✅ Operational Excellence &amp; Delivery Optimisation<ul style="min-height:1.5em"><li>Own the Service Lifecycle: Oversee the planning, execution, and continuous optimisation of all Managed Services engagements, ensuring services are delivered on time, within scope, and aligned with agreed SLAs and KPIs.</li><li>Drive Process Innovation: Collaborate closely with internal technical teams to design, optimise, and streamline our managed data and AI solutions, identifying opportunities to automate and enhance delivery through new tools and processes.</li><li>Elevate Service Offerings: Strategically support the evolution and scaling of Datatonic’s Managed Services portfolio, ensuring we maintain a competitive edge in the market.</li></ul><h3>Who We're Looking For</h3>This role requires a proactive, results-driven leader who is ready to take charge and directly influence company-wide success.Most importantly, experience running a managed cloud service in a related technology is a major plus.<ul style="min-height:1.5em"><li>Proven Leadership: Experience in a strategic management role, with a strong track record of leading, mentoring, and developing technical teams (Managed Services, Support, DevOps, or Data Engineering).</li><li>Client-First DNA: Strong background in client-facing posts, with exceptional communication, negotiation, and executive stakeholder management skills.</li><li>Operational Mindset: Solid understanding of project and service delivery management principles (Agile experience is a significant plus).</li><li>Technical Curiosity: A keen interest in or familiarity with data engineering, cloud platforms (AWS/Azure/GCP), and AI/ML technologies—you understand the value proposition of a modern data stack.</li></ul>Strategic Vision: A proactive problem-solver with the ability to influence, design, and implement new, efficient processes across the organisation.

🚀 HEAD OF MANAGED SERVICES


ABOUT THE ROLE

As Google Cloud's premier partner in AI, we deliver cutting-edge data solutions that help world-class businesses future-proof their operations. The Head of Managed Services is a strategic leadership role, directly responsible for the operational success and expansion of our client data platform engagements.

You won't just oversee support; you will own the long-term success of our clients' data ecosystems. This role is a high-impact blend of visionary leadership, proactive client partnership, and strategic service delivery optimisation. It is ideal for a hands-on leader who is passionate about empowering people, leveraging technology (especially AI and Data), and shaping the client experience.


WHAT YOU'LL BE DOING: KEY RESPONSIBILITIES

🌟 Strategic Leadership & Team Ownership

 - Establish a High-Performance Culture: Lead, mentor, and build a high-calibre Managed Services team, defining the culture and operational model that prioritises reliability, innovation, and continuous learning in data/AI technologies.

 - Future-Proofing Talent: Drive the team's development, career paths, and skills growth, with a strong emphasis on mastering modern data engineering, cloud platforms, and emerging AI solutions.

 - Maximise Impact: Own resource allocation, workload balancing, and long-term capacity planning to ensure maximum team efficiency and impact against revenue targets.

🤝 Client Partnership & Account Growth

 - Be the Trusted Point of Contact: Serve as the main strategic partner and executive contact for our key Managed Services clients.

 - Orchestrate Client Success: Build deep, long-term relationships, ensuring an exceptional client experience and acting as an advocate for their needs internally.

 - Translate Needs into Roadmaps: Proactively identify client challenges and opportunities, translating them into actionable service improvements, automation initiatives, and expansion of our service offerings.

✅ Operational Excellence & Delivery Optimisation

 - Own the Service Lifecycle: Oversee the planning, execution, and continuous optimisation of all Managed Services engagements, ensuring services are delivered on time, within scope, and aligned with agreed SLAs and KPIs.

 - Drive Process Innovation: Collaborate closely with internal technical teams to design, optimise, and streamline our managed data and AI solutions, identifying opportunities to automate and enhance delivery through new tools and processes.

 - Elevate Service Offerings: Strategically support the evolution and scaling of Datatonic’s Managed Services portfolio, ensuring we maintain a competitive edge in the market.


WHO WE'RE LOOKING FOR

This role requires a proactive, results-driven leader who is ready to take charge and directly influence company-wide success.

Most importantly, experience running a managed cloud service in a related technology is a major plus.

 - Proven Leadership: Experience in a strategic management role, with a strong track record of leading, mentoring, and developing technical teams (Managed Services, Support, DevOps, or Data Engineering).

 - Client-First DNA: Strong background in client-facing posts, with exceptional communication, negotiation, and executive stakeholder management skills.

 - Operational Mindset: Solid understanding of project and service delivery management principles (Agile experience is a significant plus).

 - Technical Curiosity: A keen interest in or familiarity with data engineering, cloud platforms (AWS/Azure/GCP), and AI/ML technologies—you understand the value proposition of a modern data stack.

Strategic Vision: A proactive problem-solver with the ability to influence, design, and implement new, efficient processes across the organisation.

Head of Managed Services

<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

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