51 to 75 of 901 Google Jobs in the UK excluding London

Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition to a competitive basic salary, you will also have an extensive benefits package which ...

corporate_fare Google place Waltham Cross, UK X This role is not eligible for immigration sponsorship. Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment. Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware. Experience with networking protocols. … scripting. Ability to collaborate and partner with people and teams to overcome issues. Ability to manage competing and changing priorities. About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search ...

several of the following areas: Strong understanding of cybersecurity fundamentals, networking and platform engineering. Cloud security experience across AWS, Microsoft Azure and/or Google Cloud Platform. Experience with SIEM and log management tools such as Splunk, Microsoft Sentinel, Cribl or ELK. Scripting or programming skills using Python, Bash ...

Technical Skills and Technologies Experience with a range of the following technologies, frameworks and tools would be advantageous: Cloud platforms: AWS, Microsoft Azure and Google Cloud Platform (GCP). Architecture frameworks: TOGAF, Zachman and MODAF. Agile methodologies: SAFe, Scrum and Kanban. Modelling tools: UML, ArchiMate and Ardoq. Enterprise technology platforms ...

documenting and maintaining transformation workflows. Experience designing and delivering data solutions on at least one major cloud platform, such as AWS, Microsoft Azure or Google Cloud. Strong understanding of modern data engineering principles, including ETL/ELT, data modelling, warehouse architecture and scalable data pipeline design. Experience taking technical solutions ...

designing and developing large-scale distributed systems and cloud-native architecture. Experience building large scale infrastructure and and cloud-native delivery practice in Google Cloud, AWS, or Azure and Terraform. Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services. Systematic problem ...

breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. Key Responsibilities Design and build production‐grade agentic solutions end‐to‐end: multi ...

automated testing, observability, infrastructure as code, performance optimisation and secure, resilient software design. Cloud native engineering experience across platforms such as AWS, Azure or Google Cloud, with sufficient technical depth to review designs, interrogate code, troubleshoot production issues and contribute directly to engineering solutions when required. Proven leadership across cross ...

breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering. Key Responsibilities Use AI coding assistants daily ...

breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. Key Responsibilities Design and build production-grade agentic solutions end-to-end: multi ...

weeks each Additional skills we value Experience with any of the following: Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure Designing testing strategies for distributed or cloud-native systems Building or operating large-scale CI/CD and test infrastructure Applying AI or machine learning ...

Architect, you will play a key role in designing and delivering secure, scalable, and compliant architectures for our clients, with a particular focus on Google Cloud Platform (GCP) and emerging Agentic AI systems . Leveraging your strong cloud security and governance expertise, you will: Security Architecture Translate business, data protection ...

experience in product management, building products, with a demonstrated track record of product execution. Minimum 1 year’s hands‐on experience working with Google AI, Azure Cognitive Services or AWS Machine Learning. Experience integrating Generative AI into products. Proficiency in Agile methodologies, including iterations, point systems and refinement, with ...

scalability. As a Responsible AI Lead, you’ll set technical direction and lead multiple teams to design, build and run AI Agents on Google Cloud, blending open‐source tools with GCP native services. You’ll stay hands‐on when needed and help grow engineering capability - all while delivering outcomes ...

experience Experience working in a professional services/consultancy environment preferred. Experience applying DevOps tools and techniques with other major cloud providers (Azure, Google Cloud). Awareness of GOV.UK Digital Service Standard and Technology Code of Practice is preferred. Ability to deliver as part of multiple projects, concurrently across multiple ...

Experience defining and governing metrics, ideally including semantic layer or single-source-of-truth approaches Solid understanding of digital analytics platforms, such as Google Analytics and Matomo, and of journeys, cookies, and tracking methods - enough to define what's needed, with implementation owned by Data Engineering and Platform Hands ...

Experience defining and governing metrics, ideally including semantic layer or single-source-of-truth approaches Solid understanding of digital analytics platforms, such as Google Analytics and Matomo, and of journeys, cookies, and tracking methods - enough to define what's needed, with implementation owned by Data Engineering and Platform Hands ...

based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology. We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their … scoping projects and delivering those projects either on your own or as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have ...

Engineering experience Strong Linux administration skills Experience with CI/CD tooling Terraform, Ansible or similar IaC tools Docker and Kubernetes AWS, Azure or Google Cloud Understanding of networking and security principles Strong Git knowledge Excellent troubleshooting abilities For immediate consideration, apply today or contact Claire Thomas ...

cross-channel customer engagement. Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. Understanding of batch, streaming, near-real-time and data federation architectures. Strong knowledge of security, data protection, privacy and consent management. Experience leading architecture ...

areas would be valuable: Modernising legacy applications or mature codebases C or C++ development and migrating existing code into modern technologies AWS, Azure or Google Cloud Platform Building or maintaining CI/CD pipelines AI‐assisted development tools such as GitHub Copilot Modernising desktop applications and improving UI/ ...

cloud platforms are designed and delivered. What You'll Be Doing Design, build and maintain scalable cloud infrastructure across Microsoft Azure and/or Google Cloud Platform (GCP) . Develop and manage Infrastructure as Code (IaC) using Terraform . Support the development and deployment of innovative applications, including ...

date with the latest best-practices. Essential: Java and Python REST and Websocket APIs A backend web framework (e.g. Micronaut, Spring) Google Cloud or an equivalent cloud service provider (e.g. AWS, Azure) HTML, CSS and TypeScript or JavaScript React or an equivalent frontend technology (e.g. Angular) Containerisation (e.g. Docker, Podman ...

5+ years of experience in security analysis, infrastructure, DevSecOps, or a related role. Hands-on experience securing cloud platforms such as AWS, Azure, or Google Cloud. Experience with identity and access management, SSO, MFA, RBAC, and privileged-access controls. Experience deploying and maintaining security technologies, including SIEM, EDR, vulnerability-management ...

machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization. Solid understanding of fundamentals of statistics, machine learning (e.g., classification ...