1 to 25 of 674 Google Jobs in the UK excluding London

Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS More ❯

adaptable, and a willingness to handle constantly changing priorities with continued enthusiasm Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Solutions Architect) Experience with other cloud platforms (e.g., AWS, Google Cloud) Knowledge of Agile methodologies and practices The Where and When This is a full-time role (35 hours per week) based in either our Manchester or Milton Keynes office. More ❯

modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

and machine learning projects. Strong programming skills in Python, R, or Java. Hands-on experience with AI frameworks and libraries. Familiarity with cloud platforms such as Azure, AWS, or Google Cloud. Strong analytical and problem-solving skills. Excellent communication and client-facing skills. Knowledge of design patterns and optimisation techniques for large data solutions. A degree in Computer Science, Data More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

and Spring boot Strong knowledge in one of Cassandra, Oracle, MS SQL and RDBMS database concepts Experience with distributed computing environments, cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure) and Kubernetes Strong programming skills in one of scripting languages: Groovy, BASH, Shell, Python GO Strong working knowledge of modern development technologies and tools such Agile, CI More ❯

automation, API-driven solutions, and creating user-centric experiences. Desirable Skills Experience with AI/ML integration for lead scoring or customer segmentation. Knowledge of additional cloud platforms (e.g., Google Cloud, Azure) or containerisation (Docker, Kubernetes). Familiarity with Ideal Postcodes API or similar geolocation services. Previous work with encrypted data pipelines in a regulated industry. Excellent package on offer More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

Prometheus, Grafana). Automation with Terraform, Ansible or similar. Programming in Python, Java, GoLang. Desirable Financial services or regulated industry experience. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Knowledge of cryptography. If you are a skilled Senior Software Engineer with strong cloud, DevOps, and software development expertise, and youre looking for your next challenge More ❯

DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation. Strong problem-solving and communication skills. Desirable Skills: Background in retail or e-commerce data environments. Experience with Google Analytics data integration. Why Join? This is more than just a Senior Data Engineer role it's a chance to shape the future of a high-growth retail & e-commerce More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). Ability to quickly acquire new skills and tools. Good non-functional testing experience. Desirable Skills Experience working in financial services or other regulated environments. GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be More ❯

prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family More ❯

prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family More ❯

Power Automate and UiPath. Experience with Microsoft's wider suite including Automate, BI, Apps, Co-pilot and ability to work with LLM or other generative AI-supported tools like Google Tesseract. Knowledge of project delivery methodologies (i.e., Waterfall, Agile, Scrum). Knowledge of desktop infrastructure. About Working For us Our ambition is to be the leading UK business for diversity More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯