1 to 25 of 558 Google Jobs in the UK

Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power ...

powered solutions spanning data ingestion → model orchestration → inference services → application integrations ; ensure scalability, security, and observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone , FAISS , Azure Cognitive Search ) and prompt strategies; optimize for latency/cost/accuracy. Architect agentic ...

quality, secure, compliant digital products) Prototyping, Proof of concept and creative solution experience is a must Cloud platform experience mandatory (Azure preferred, AWS/Google Cloud acceptable) Agile experience Senior/lead developers considered that showing architectural understanding and genuine motivation to move into this field would be considered Familiarity ...

quality, secure, compliant digital products) Prototyping. proof of concept and creative solution experience is a must Cloud platform experience mandatory (Azure preferred, AWS/Google Cloud acceptable) Agile experience Senior/lead developers considered if showing architectural understanding and genuine motivation to move into this field would be considered Familiarity ...

cloud-based data platform (AWS/Azure etc) Knowledge and experience working with digital/web analytics data & tools (Adobe Analytics/Google Analytics). Significant knowledge of both digital and direct marketing techniques (to include CRM response modeling and paid media optimisation) Proficiency in developing experiments and measuring marketing ...

developing junior consultants while maintaining delivery excellence Technical Experience: Proficiency in Python, R, or PySpark Experience with cloud data platforms such as AWS, Azure, Google Cloud, or Databricks Knowledge of DevOps and MLOps principles for deploying AI solutions into production environments Experience working with Agentic and Generative AI platforms ...

HTML, and CSS for custom tagging. Basic SQL for data extraction and Python for advanced analysis are preferred. Experience with Power BI, Tableau, or Google Data Studio for external reporting. Hands-on experience with AWS, Azure, or GCP environments for Reporting tool hosting. Desirable skills/knowledge/experience ...

senior stakeholders to shape AI transformation programmes and technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ...

enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives ...

ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. Develop and deploy AI agents using Databricks, Google AI Studio and/or Azure AI Foundry. These agents are the primary user interface for the product — so this is genuinely central to what ...

alerts, sensible SLOs. Comfortable on-call, you conduct thorough post-incident reviews and turn fixes into lasting improvements. Security and compliance aren’t afterthoughts - Google Workspace as IdP/SSO, least privilege/RBAC, patch/vuln management, and practical ISO 27001 control implementation with clean evidence. You help staff ...

processing tools such as Pandas, NumPy . Experience with NLP, Computer Vision, or Predictive Analytics . Understanding of cloud platforms like AWS, Azure, or Google Cloud . Preferred Qualifications Degree in Computer Science, Data Science, or Artificial Intelligence . Experience with LLMs, Generative AI, or Chatbots . Knowledge of MLOps ...

with version control systems such as Git Strong analytical and problem-solving skills Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud Familiarity with containerization technologies such as Docker and Kubernetes Experience with microservices architecture and distributed systems Understanding of CI/CD pipelines and DevOps ...

analytical solutions. Desirable Skills: Experience with Oracle ERP or exposure to large-scale ERP implementation projects. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud). Exposure to Rust, C# or other object-oriented programming languages. Knowledge of frontend development (HTML, CSS, JavaScript) is a plus. What We Offer ...

mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience ...

engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success through model accuracy ...

Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform (GCP) - Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning ...

including hardware, software, and network resources. Experience with automation tools, such as Ansible or Puppet. Experience with cloud-based technologies, including AWS, Azure, or Google Cloud Platform. Experience with scripting languages, such as Python or PowerShell. Strong understanding of telecom protocols, standards, and technologies. Certifications in test environment management tool ...

deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast-growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger ...

highly secure and technically demanding environments Technology exposure Typical environments include: • Python and SQL • Spark, Databricks and distributed data processing platforms • AWS, Azure and Google Cloud • Modern data lake, lakehouse and warehouse architectures Who we’re keen to speak with Active DV clearance is essential. We are particularly interested ...

Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge of automation technologies including RPA platforms (e.g. UiPath) and orchestration tools (Airflow, Kubeflow). Soft Skills: Excellent problem-solving ...

architecture, solution architecture or machine learning engineering Experience implementing cloud-based AI/ML solutions across platforms such as Azure, AWS or Google Cloud Hands-on experience with Generative AI technologies and large language models Knowledge of vector databases, semantic search and embedding techniques Strong programming skills in Python Experience ...

transport/retail domain systems. Other Skills (Desirable) Exposure to API-driven architectures and centralised API management. Experience with cloud platforms (AWS or Google Cloud preferred). Understanding of security, compliance, and data governance considerations in a transport/retail context. Product Owner or relevant certification. ...

transport/retail domain systems. Other Skills (Desirable) Exposure to API-driven architectures and centralised API management. Experience with cloud platforms (AWS or Google Cloud preferred). Understanding of security, compliance, and data governance considerations in a transport/retail context. Product Owner or relevant certification. ...

machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high ...