1 to 25 of 108 Google Gemini Jobs in the UK

integration technologies and protocols (APIs,ReST,HTTPS etc..) Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across … search and conversational AI. Advanced architectural expertise in Microsoft Azure, or Google Cloud Platform (Azure/GCP preferred), specifically around modern compute (Kubernetes/AKS/EKS, Serverless), IAM, networks, and secure storage. 2 to 4 years' experience in CPG, Retail domain. Excellent analytical and problem-solving skills, with ...

Security Guardrails Model Context Protocol (MCP) Function Calling Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with … more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise Data Data Engineering Data Platforms ETL Vector Databases Enterprise Search Semantic Search Knowledge Graphs OCR Document Processing SQL NoSQL Streaming Data Software Engineering Strong experience across several of: Python TypeScript Java C# Go JavaScript React Node.js .NET APIs Microservices Event ...

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 … assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE‐native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST ...

wider community. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open ...

wider community. D ESIRABLE : Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search and knowledge graphs. Actively contributes ...

agentic applications using Lang Graph, AutoGen, Claude Agent SDK, OpenAI Assistants, or your own orchestration layer. Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors. Apply RAG techniques where they actually help: vector databases (Pinecone ...

proposed solution is built to the agreed architecture and quality standards Core Technical Skills Hands‐on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering ...

features. Continuously optimise performance, reliability, and scalability of AI systems. What we're looking for: Hands‐on experience with LLMs (e.g., GPT, BERT, Llama, Gemini) and applying them to real‐world problems. Strong backend engineering expertise, including RESTful APIs and micro‐services design. Proficiency in Python/JavaScript ...

strong programming foundation (Java, Python, Go, or equivalent). Hands‐on experience with AI/ML engineering—including working with LLM APIs (OpenAI, Anthropic, Gemini, or open‐source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including ...

experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills - you debug fast and think in systems Comfortable working with messy, incomplete requirements and driving clarity ...

data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

Docker and Kubernetes Event-driven architecture Monorepo environments Observability platforms Feature flag frameworks AI development tools such as GitHub Copilot, Cursor, Claude Code or Gemini Code Assist If you are able to commute to Manchester/Bury 3 times a week and are interested in this role, click 'apply ...

GitHub Actions. Docker/Kubernetes. Monorepo development. Event‐driven architecture. Observability platforms. Feature flag frameworks. AI‐assisted development tools (GitHub Copilot, Cursor, Claude Code, Gemini Code Assist). Experience 8+ years commercial Full Stack software engineering experience. Proven delivery of cloud‐native digital products. Experience working within cross‐functional ...

unable to work at home 100% of the time. Your Role: Design and develop Generative AI applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral. Build and optimize RAG pipelines using vector databases and embedding models. Develop AI agents and multi-agent workflows using frameworks like LangChain ...

LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)** *(hands‐on experience preferred, but deep ML expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level ...

LangGraph, MLflow, or workflow orchestration tools (e.g., n8n) hands‐on experience preferred, but deep ML expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level ...

alignment to delivery, regulatory, and audit requirements. Agentic and AI-enabled architecture: Lead designs that incorporate GenAI and LLM platforms for example Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals, integrating them into existing enterprise ...

GitHub Copilot with various models, Citi Squad (automated code reviews), Devin.AI (Agentic Code generation), Prompt Engineering, Workflow Design, GenAI Optimization, Stylus Workspaces (In-house Gemini) Large Language Models (LLMs): Gemini, OpenAI, Claude, Llama, Local Models Frameworks: LangChain, LlamaIndex, Hugging Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java ...

technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions to life ...

Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step 2: Hiring Manager Call: Experience (45 min) Step 3: Technical ...

function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration : Hands‐on experience designing autonomous and multi‐agent systems that reason, plan … Familiarity with agentic design patterns (ReAct, planning, reflection, human‐in‐the‐loop) and agent frameworks such as LangGraph, CrewAI, MAF, OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Experience building agentic workflows with memory, state management, and reliable multi‐step task execution. Model Context Protocol ...

skills Must have availability to occasionally work nights and some weekends Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions … Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling Awareness of AI regulatory ...

annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where you grow. The Google Cloud Platform Technical Architect is a customer-facing domain expert who applies broad technical skills to design and deliver modern cloud platforms, from cloud … well as cloud-native, data-driven, and AI-enabled solutions that meet business needs by applying the most appropriate cloud deployment models and Google Cloud services for each case. You will have the opportunity to lead technical discussions with clients and apply your knowledge to design the best solutions ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk.Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs.Ability to communicate on a Business and Technical level bringing solutions ...

technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions to life ...