626 to 650 of 889 Retrieval-Augmented Generation Jobs in England

platform - including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques - enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ … internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity ...

production AI from one platform. You'll join a strong team of engineers and data scientists to build and scale the next generation of Homesearch's data and AI platform. Working with large property datasets, you'll automate and improve data pipelines, strengthen our platform foundations, and build … both live products and AI/ML workloads. Property, listing or other entity-resolution data. Search and indexing: Elasticsearch, OpenSearch or similar. LLMs, RAG, AI agents and the major AI application frameworks. How We Work Our values run through everything we do. Remove Friction: make everything seamless. Stay Curious ...

orchestration, evaluation, and multi-agent patterns, and you understand the trade-offs involved.Experience with RAG systems – You have a solid understanding of retrieval-augmented generation systems and pipelines, and you've built them in real-world contexts.Cloud platform experience – You're experienced with … doIn this role, you will:Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. You'll work on technology that's genuinely new territory.Advise clients on AI strategy – join workshops, contribute to proposals, and help ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationStrong schema, validation, and state management practicesAI-assisted developmentFluency with AI-assisted and agentic development workflows … manage their finances.Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationStrong schema, validation, and state management practicesAI-assisted developmentFluency with AI-assisted and agentic development workflows … manage their finances.Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationStrong schema, validation, and state management practicesAI-assisted developmentFluency with AI-assisted and agentic development workflows … manage their finances.Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation ...

including typed data models, APIs, automated testing and maintainable system design. Hands-on experience with hosted LLM APIs, structured outputs, tool use, retrieval-augmented generation, context management and model limitations. Experience evaluating non-deterministic systems using representative datasets, explicit metrics, failure analysis and regression ...

data, training, serving, monitoring)Experience building and deploying LLM-based features in productionFamiliarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)Understanding of shared ML architecture across domains (e.g. search and recommendations)Strong focus on data quality and correctness ...

surface it in usable, performant ways for brokers and analysts.* **AI-Enabled Development:** Build AI-enabled product features using patterns such as retrieval-augmented generation, tool and API integration, evaluation and human-in-the-loop design.* **AI-Assisted Engineering:** Use AI-assisted engineering tools ...

Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge … with ethical AI governance focus.Multimodal & Code Generation: Architected GenAI for multimodal (vision, audio, language) & code generation.ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value.Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation.GenAI Impact Reporting: Designed advanced reporting ...

Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge … with ethical AI governance focus.Multimodal & Code Generation: Architected GenAI for multimodal (vision, audio, language) & code generation.ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value.Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation.GenAI Impact Reporting: Designed advanced reporting ...

Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge … with ethical AI governance focus.Multimodal & Code Generation: Architected GenAI for multimodal (vision, audio, language) & code generation.ER&I GenAI Applications: Applied GenAI to ER&I use cases to create business value.Enterprise Software Integration: Designed GenAI integrations with SaaS/ERP for business process automation.GenAI Impact Reporting: Designed advanced reporting ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … results to improve quality.Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings.Experience with LLM APIs across more than one provider, with a feel for their trade ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … results to improve quality.Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings.Experience with LLM APIs across more than one provider, with a feel for their trade ...

language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks and automated quality pipelines for AI outputsTechnical and Professional ExpertiseSolid production experience with C# .NET, including working in established … results to improve quality.Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings.Experience with LLM APIs across more than one provider, with a feel for their trade ...

Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt engineering, vector databases, RAG (Retrieval-Augmented Generation), and AI service integration and has experience evaluating Has knowledge of database systems and excellent problem-solving skills ...

experience across some or all of the following: Generative AI, Large Language Models (LLMs), AI assistants and AI agents. Retrieval Augmented Generation (RAG), enterprise search and knowledge management solutions. Solution, platform or enterprise architecture. Data architecture, integration, APIs and governance. Security, compliance, risk management ...

source offerings.Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon executionStrong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose ...

focused on production AI: grounded assistants, agentic workflows, evaluation harnesses, and the governance controls that make them safe to run. Design production AI systems: RAG pipelines, agent workflows, tool integrations. Define evaluation, monitoring, and rollback strategies for AI features. Advise clients on model selection, vendor trade-offs, and build ...

maintainability.You naturally extract patterns from one-off work and turn them into reusable assets for others.Applied AI and Agentic SystemsExperience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.Comfort debugging agent behavior: traces, logs ...

extract patterns from one-off work and turn them into reusable assets for others.**Applied AI and Agentic Systems*** Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.* Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.* Comfort debugging agent behavior ...

Experience within Azure environments Strong stakeholder engagement in large enterprise environments Experience in regulated industries is highly desirable Exposure to Neo4j, Microsoft Graph, GraphRAG, RAG or vector databases would be beneficial. ...

experience across frontend and backend development, with a solid understanding of system design and API architecture.Experience building AI-powered applications, including working with LLMs, RAG systems, and related technologies.Demonstrated ability to take ownership of features from concept through production, making pragmatic engineering decisions while thriving in fast-paced, evolving environments ...

years of experience managing large tech, cloud, or consulting projects. Mandatory Tech Skills: Real, hands-on experience with AWS AI services-specifically Amazon Bedrock (RAG, prompt engineering) and AgentCore . Service Management: A strong background in SIAM and ITSM frameworks. Leadership: proven ability to comfortably talk tech with developers ...

years of experience managing large tech, cloud, or consulting projects. Mandatory Tech Skills: Real, hands-on experience with AWS AI services-specifically Amazon Bedrock (RAG, prompt engineering) and AgentCore . Service Management: A strong background in SIAM and ITSM frameworks. Leadership: proven ability to comfortably talk tech with developers ...