1 to 25 of 2,904 Google Jobs in the UK

missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll … of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Job Description We are seeking a highly motivated and experienced AI/Data Science Product … degree in Computer Science, Data Science, Engineering, Marketing, or a related field Bonus Points: • Experience working in or with performance media agencies• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure)• Familiarity with marketing automation platforms and APIs• Contributions to open-source AI projects or publications Additional Information Publicis Media has fantastic benefits on offer to all of our More ❯

solving skills and the ability to make sound technical decisions. Preferred: Master's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices architecture and RESTful API design. Strong understanding of database technologies (SQL and NoSQL). Experience with Agile/Scrum More ❯

would be beneficial for this role. Including any of the following Programming Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯

to build and deliver high quality, scalable and secure solutions Implementations on and migration to Cloud services on at least one of the hyper-scale Cloud platforms - Microsoft Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one More ❯

Experience with performance testing tools like JMeter or LoadRunner. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience in Agile/Scrum development environments. Why Us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more More ❯

data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

engineer at our AI product company, you will define and create the platform for deploying, managing, and optimizing our distributed systems across on-premises, multiple cloud environments (AWS, Azure, Google Cloud), and Kubernetes. Our system leverages multiple LLMs, Graph and Vector Databases and integrates data from multiple sources to power our AI solutions. You will ensure our infrastructure is robust … Management of infrastructure Requirements Preferred M.Sc or Ph.d degree in Computer Science or a related field At least 7 years of experience deploying and managing cloud infrastructure (AWS, Azure, Google Cloud) At least 3 years experience in working with kubernetes environments Proficient in managing and scaling Kubernetes clusters, including monitoring, troubleshooting, and ensuring high availability Experience with cloud-native technologies More ❯

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. Stay … informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to new client delivery More ❯

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. Stay … informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to new client delivery More ❯

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. Stay … informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to new client delivery More ❯

about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent More ❯

about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent More ❯

about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent More ❯

designing, developing, and testing software in one or both of Python and Java; open to using multiple languages. Experience architecting, designing, and developing applications in an Amazon Web Services, Google Cloud Platform, or Microsoft Azure cloud environment. Ability to reason about performance, security, and process interactions in complex distributed systems. Experience with version control, continuous integration, deployment, and configuration management More ❯

following Programming Languages: Proficiency in languages such as: • C++, Java, Python, JavaScript, C# Systems & Tools: Knowledge of or experience with: • ??Linux/Unix operating systems • ??Cloud Technologies (AWS, Azure, Google Cloud) • ??DevOps tools (e.g., Docker, Kubernetes) • ??Version Control Systems (e.g., Git) • ??Machine Learning/AI technologies • ??Software Development: Understanding of software development methodologies, including Agile and DevOps practices. • ??Networking & Cybersecurity More ❯

a growing tech company Experience Requirements: Strong foundation in software engineering principles, with experience in full-stack development Hands-on experience managing and configuring SaaS tools (e.g., Slack, Asana, Google Workspace, Salesforce, or similar) Experience with APIs and building integrations is preferred Other Requirements: Ability to translate business needs into technical solutions Strong interpersonal skills to work effectively with non More ❯

customers as you will lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and … machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university More ❯

proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures, and performance … o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep understanding of data warehousing concepts and ETL/ More ❯

proactively enhancing data throughput, scalability, and resource efficiency. Platform & Tool Expertise: Provide expert support for data tools, platforms, and technologies, including relational/NoSQL databases, cloud platforms (AWS, Azure, Google Cloud), data warehousing, and ETL frameworks, while mentoring junior team members on best practices. Automation & Monitoring: Implement and support automated monitoring systems to detect data anomalies, system failures, and performance … o Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem-solving. o In-depth experience with cloud data platforms (AWS, Azure, Google Cloud) and Microsoft services (e.g., Azure Storage, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, Microsoft Purview). o Deep understanding of data warehousing concepts and ETL/ More ❯

and data quality principles. Strong communication and presentation skills. Preferred Qualifications: Experience with machine learning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a business or financial analysis environment. If you are passionate about data-driven decision-making and want to make an More ❯

cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton Keynes. We operate a flexible More ❯

cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton Keynes. We operate a flexible More ❯

for leading the design, development, and deployment of GCP-based solutions. This position requires a highly skilled individual with expertise in cloud architecture, infrastructure management, and application development using Google Cloud technologies. The role involves collaborating with cross-functional teams to deliver scalable and efficient cloud solutions that meet business requirements. Key Responsibilities Lead the design and implementation of GCP More ❯

for leading the design, development, and deployment of GCP-based solutions. This position requires a highly skilled individual with expertise in cloud architecture, infrastructure management, and application development using Google Cloud technologies. The role involves collaborating with cross-functional teams to deliver scalable and efficient cloud solutions that meet business requirements. Key Responsibilities Lead the design and implementation of GCP More ❯