26 to 50 of 783 Google Jobs in the UK

business analyst or a similar role. Proficient in using project management tools (e.g., Jira, Trello, Azure) and productivity software (e.g., Microsoft Office Suite, Google Workspace). Possesses a comprehensive understanding of SDLC, Agile, Scrum, and Waterfall methodologies Demonstrates experience in requirements gathering, process mapping, and business analysis. Exceptional analytical, problem ...

business analyst or a similar role. Proficient in using project management tools (e.g., Jira, Trello, Azure) and productivity software (e.g., Microsoft Office Suite, Google Workspace). Possesses a comprehensive understanding of SDLC, Agile, Scrum, and Waterfall methodologies Demonstrates experience in requirements gathering, process mapping, and business analysis. Exceptional analytical, problem ...

Proficiency in data engineering & platforms (SQL, data warehousing, ETL/ELT pipelines, data modeling, data wrangling). Experience delivering cloud-native solutions, ideally within Google Cloud Platform (GCP), or equivalent AWS or Azure experience. Familiarity with Kubernetes, Jenkins, CI/CD tooling, and multi-cloud environments. Strong understanding of DevOps ...

medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering ...

MLOps frameworks and AI infrastructure management. Experience building AI assistants, chatbots or agent-based systems. Knowledge of cloud platforms such as AWS, Azure or Google Cloud Platform. Experience working in Agile software development environments. We are looking to arrange interviews next week, so should you be interested to find ...

scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles ...

Python, or Go). Experience with container orchestration and deployment (Docker, ECS, or Kubernetes). Proficient with GitOps or IaC-based workflows. Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence. Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours Self-driven with a bias ...

coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise ...

play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across global marketing campaigns on platforms such as Google, Meta and Apple. In this role, you will: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate ...

following: • Containerisation/Container Security; • Microservice Architectures; • API Development, REST, Swagger, OpenAPI, gRPC; • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP); • Cloud native Apps, Kubernetes, OpenShift, MicroK8s; • Infrastructure as Code (IaC), automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/ ...

implementing RESTful APIs with clear documentation Solid understanding of database design and optimization (SQL and/or NoSQL) Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes) Experience building data-intensive applications or processing large-scale log data Strong understanding of system design principles, including ...

with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...

pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious people who love to bring the latest tech to real ...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt, Germany; Munich, Germany; London, UK . Minimum qualifications Bachelor's degree in Computer Science ...

hiring a quota‐carrying Partner Sales Director to grow joint pipeline and close net‐new revenue with two priority alliances: Braze and Google . You’ll sit at the intersection of alliance activation and enterprise sales, co‐selling with Braze’s EMEA field teams on cross‐channel customer engagement … lifecycle CRM, and with Google’s partner and cloud teams on Google Marketing Platform, Google Cloud and Vertex AI‐enabled data transformation. Own opportunities end‐to‐end (pipeline, progression and close) against an annual quota. Primary motion is partner‐sourced and partner‐influenced deals, not solo hunting. Work across EMEA ...

love the culture and the technical challenges. Key Responsibilities Design, implement, and scale production-ready batch and real-time data streaming flows within a Google Cloud environment. Integrate automated testing, data quality guardrails, and monitoring tools to guarantee system health, security, and compliance. Collaborate with data scientists and product engineering ...

knowledge of DNS protocols, architecture, and troubleshooting. Hands-on experience with technologies such as BIND, Microsoft DNS, Infoblox, AWS Route 53, Azure DNS, or Google Cloud DNS. Strong understanding of DNSSEC, DHCP, IPAM, and DNS security best practices. Solid networking knowledge covering TCP/IP, routing, firewalls, and load balancing. ...

possess a combination of some of the following skills, then LET'S TALK! Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP) Hands-on expertise with services such as: Compute Engine, GKE (Kubernetes), Cloud Storage VPC networking, IAM, Cloud Functions Proven experience with Infrastructure as Code ...

including senior stakeholders. Excellent written communication and presentation skills. Strong SQL skills and experience analysing and interpreting data. Familiarity with cloud platforms such as Google Cloud, Azure or AWS. Experience supporting consulting, analytics or technical delivery teams. The ability to quickly learn emerging technologies and apply them to solve real ...

Experience with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) Familiarity with modern AI ecosystems (e.g., Microsoft AI Foundry, AWS Bedrock, Google Vertex, agentic AI) Proven ability to design and deliver complex, client-facing solutions Excellent communication skills, with the ability to engage technical and non-technical ...

following: • Containerisation/Container Security; • Microservice Architectures; • API Development, REST, Swagger, OpenAPI, gRPC; • Cloud platforms and technologies, AWS, (e.g. Lambda, API Gateway, EKS), Azure, Google Cloud Platform (GCP); • Cloud native Apps, Kubernetes, OpenShift, MicroK8s; • Infrastructure as Code (IaC), automation & configuration management; • Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; • NodeJS, REACT/ ...

academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS Familiarity with cloud platforms, specifically GCP (Google Cloud Platform). Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA. An understanding of deployment practices and CI/ ...

using and maintaining Docker containers. Strong understanding of RESTful API design principles and best practices. Experience with TDD and testing frameworks such as Boost.Test, Google Test, etc... NicetoHaves: ExperiencewithAzureservicesformanagingGPTpipelinesandmulti-cloudinfrastructure. FamiliaritywithbigdatatechnologiessuchasApacheSpark,Kafka,andMSKforlarge-scaledataprocessing. Experience with boost libraries (asio, beast). Advancedexperienceincostoptimizationstrategiesforcloudinfrastructureanddatabaseperformancetuning. Technicalacumen: AdvancedknowledgeofallAWSsystemsandservices. Detailoriented: Responsibleformission-criticalhealthcareproductsandservices. CommunicationsandTrust: Phenomenalcommunicationskillswiththeabilitytomaintainthehighestlevelsofconfidentialityonaconsistentbasis. OrganisationandGettingStuffDone ...