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 technologieswho 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.
Dec 16, 2025
Full time
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 technologieswho 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.
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. Partners with us future prove 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 clients' 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 optimise their implementation within columnar databases such as BigQuery. Shape Data Strategy Data governance and compliance Scalable and efficient data modelling 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 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 that include 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 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. Key Skills Kubernetes S3 Google Cloud Platform Cassandra System Architecture Redshift AWS Cloud Architecture NoSQL UML Kafka Distributed Systems Employment Type: Full Time Experience: years
Dec 16, 2025
Full time
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. Partners with us future prove 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 clients' 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 optimise their implementation within columnar databases such as BigQuery. Shape Data Strategy Data governance and compliance Scalable and efficient data modelling 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 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 that include 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 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. Key Skills Kubernetes S3 Google Cloud Platform Cassandra System Architecture Redshift AWS Cloud Architecture NoSQL UML Kafka Distributed Systems Employment Type: Full Time Experience: years
A leading AI and data consultancy is looking for a talented Cloud Architect to help shape the future of cloud solutions. In this role, you will collaborate with clients, providing technical expertise in machine learning and data migration while leading enterprise-scale projects. The ideal candidate has a strong background in cloud technologies, excellent communication skills, and a passion for innovation. Join a team where creativity is celebrated and contribute to transformative solutions in the data space.
Dec 16, 2025
Full time
A leading AI and data consultancy is looking for a talented Cloud Architect to help shape the future of cloud solutions. In this role, you will collaborate with clients, providing technical expertise in machine learning and data migration while leading enterprise-scale projects. The ideal candidate has a strong background in cloud technologies, excellent communication skills, and a passion for innovation. Join a team where creativity is celebrated and contribute to transformative solutions in the data space.
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.
Dec 16, 2025
Full time
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.
A leading AI and Data consultancy is seeking a Senior Machine Learning Engineer who will be instrumental in developing innovative machine learning solutions. The candidate will work on Python code for production, contribute to client discussions, and solve real business problems using AI and Cloud technologies. The position offers competitive benefits, including health perks and a hybrid work model, fostering an environment of learning and growth. Join us to create impactful solutions in the AI and Data field.
Dec 16, 2025
Full time
A leading AI and Data consultancy is seeking a Senior Machine Learning Engineer who will be instrumental in developing innovative machine learning solutions. The candidate will work on Python code for production, contribute to client discussions, and solve real business problems using AI and Cloud technologies. The position offers competitive benefits, including health perks and a hybrid work model, fostering an environment of learning and growth. Join us to create impactful solutions in the AI and Data field.
A leading AI and Data solutions firm in London is seeking a Senior Full-Stack Engineer to design and develop innovative AI applications. The role involves building scalable, secure web solutions, leading projects, and collaborating closely with data experts. Candidates should have solid experience in full-stack development, especially in Python and JavaScript, and be familiar with cloud platforms. The company offers a supportive environment and benefits, including private health insurance and flexible working options.
Dec 16, 2025
Full time
A leading AI and Data solutions firm in London is seeking a Senior Full-Stack Engineer to design and develop innovative AI applications. The role involves building scalable, secure web solutions, leading projects, and collaborating closely with data experts. Candidates should have solid experience in full-stack development, especially in Python and JavaScript, and be familiar with cloud platforms. The company offers a supportive environment and benefits, including private health insurance and flexible working options.
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 prove 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.
Dec 16, 2025
Full time
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 prove 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.