76 to 100 of 161 Retrieval-Augmented Generation Jobs in the UK

client is a global professional services and technology consultancy. We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship … improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required About our client Our client is a leading ...

controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional … well help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience ...

controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional … help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional … help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

analysts and financial markets operate Work at the cutting edge of ML technology – Experiment with the latest LLMs and foundation models, implement novel RAG architectures, build agentic systems, fine-tune neural networks, and leverage enterprise-scale GPU clusters and cloud infrastructure; substantial conference and training budgets to stay … financial technology We'll Count on You To: Design and build transformative ML systems – Lead the development of advanced generative AI solutions, agentic workflows, RAG architectures, and intelligent platforms using PyTorch, modern ML frameworks, and large language models; write production-quality code that scales and performs Drive AI innovation through ...

code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement … Nice-to-Have Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience with APIs, data pipelines, MLOps practices and modern software engineering disciplines. Experience managing partner-led delivery ...

data platforms. Engineering Leadership: Managing engineers, establishing development standards, mentoring technical teams and taking ownership of delivery. Exposure to Large Language Models, retrieval-augmented generation, model orchestration or other emerging AI technologies would be advantageous. About You We're looking for someone ...

GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems, and using ...

GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems, and using ...

GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems, and using ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...

integration issues. Contribute to reusable components, standard patterns. Support live automations during hyper-care. Innovation, AI & Emerging Tech Explore Copilot agents, Azure AI integration, RAG/Graph patterns. Provide feedback on technology opportunities. Why This Role Is Special Greenfield capability build - design automations your way. 3-year funded programme with ...

engineering * Experience of agile product management * Confidence with APIs and related integration and machine-delivery services * Working fluency with modern AI product concepts: RAG, agents, evaluation, and prompt/structured-output patterns * Bachelor's degree in engineering, computer science, finance or a related field, or equivalent experience NICE TO HAVE ...

good working knowledge of generative and agentic AI and technologies such as Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, AI agents and RAG-based solutions . An understanding of responsible AI, information security, data protection, governance and compliance considerations. Experience prioritising competing demands based on business value, risk, feasibility ...

direct pathway to the Forward Deployed Engineer programme. Key Responsibilities Design and build production-grade agentic solutions end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning … depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering LLMOps fundamentals: eval harness design, prompt versioning, and production observability Cloud-native engineering maturity: Kubernetes ...

growing London-based team and play a key role in designing and developing cutting-edge agentic AI systems that will power the next generation of enterprise automation. What You'll Be Doing Designing and developing agentic AI systems capable of autonomous decision-making and task execution. Building sophisticated … Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring, and optimising AI solutions in production environments. A builder's mindset ...

evaluation loops Build multi-agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignment Integrate AI systems with enterprise platforms through APIs, tools and connectors … bring Essential 6 to 8 years in software or application engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector stores Practical experience building multi-agent systems, agent orchestration or MCP-style tool patterns Strong Python, with a track ...

interpret uncertainty, and support sound decisions. Build and evaluate generative AI capabilities within Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate ...

Inside IR35 Start: Mid October Contract - 6 Months Python AI Engineer required to develop production-grade Python services for Generative AI and complex RAG solutions. You will work across AI workflow orchestration, information retrieval, evidence processing, LLM integration, response generation and validation This role requires strong … production Python experience and practical experience delivering Generative AI and RAG solutions beyond proof of concept. Job Responsibilities/Objectives: Design, develop and maintain production-grade Python services for Generative AI and RAG solutions. Build and integrate LLM workflows using structured outputs, tool calling, schema validation and controlled fallbacks. Implement ...

build cutting-edge solutions using Generative AI, Machine Learning, and Agentic AI systems . What Youll Do Design and build GenAI solutions (LLMs, RAG, prompt engineering) Develop Agentic AI systems for automation and orchestration Build and deploy ML models for real-world business use cases Work with AWS (Bedrock, SageMaker … experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture Nice to Have AWS certifications ...

benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool misuse ...

major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies. You'll be working within a product squad, turning complex requirements into secure, scalable … state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding. AI Quality & Assurance: Implement ...

major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies. You'll be working within a product squad, turning complex requirements into secure, scalable … state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding. AI Quality & Assurance: Implement ...

Agentic AI applications using Python and LangGraph. Develop multi-step workflows involving state, routing, tool use and human review. Design end-to-end RAG pipelines covering ingestion, chunking, embeddings, indexing and retrieval. Build and integrate APIs and backend services. Evaluate LLM quality, grounding and hallucinations, implementing appropriate guardrails. Handle failures … clearance suitable for an MOD project. Strong production-grade Python software engineering. Hands-on GenAI, LLM and Agentic AI development. Strong LangGraph and RAG experience. Prompt engineering and structured LLM outputs. LLM/RAG evaluation, testing and hallucination mitigation. API and backend service integration. Automated testing, error handling and observability. ...