151 to 175 of 226 Retrieval-Augmented Generation Jobs in the UK

logic that allows an LLM to detect its own hallucinations in a workflow and force a re-plan based on ingested technical documentation. Shave RAG query times down from "noticeable lag" to "instant" across massive, unstructured enterprise datasets. Why a Senior Engineer would join this team You’ll work directly ...

prototypes, and iterate based on user testing and analytics. Integrate LLMs into the application stack, handling prompt design, response parsing, tool use, chaining, and RAG strategies while balancing latency, cost and reliability. Implement frontend architectures and state management patterns that scale for complex, real-time, and collaborative UIs (React hooks … APIs, authentication, ingestion, and retrieval layers — enough to design pragmatic interfaces and own cross-stack features. Practical experience building retrieval-augmented generation pipelines (embeddings, vector stores, chunking/indexing). Proven track record delivering features in agile teams: sprint planning, incremental delivery ...

observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

Details • Salary: £80k–£100k base (flexible for strong profiles) • Working model: Hybrid, 3 days per week in London office • Tech stack: Python, JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic systems, Azure/AWS • Visa: No sponsorship available Interested? Please apply below. ...

Strong technical background with hands on experience building AI systems, prototypes, or proof of concepts - Experience with machine learning and generative AI, ideally including RAG based solutions - Python experience and solid understanding of core AI concepts - Ability to translate technical AI solutions into clear, simple messages for non technical stakeholders ...

Strong technical background with hands on experience building AI systems, prototypes, or proof of concepts - Experience with machine learning and generative AI, ideally including RAG based solutions - Python experience and solid understanding of core AI concepts - Ability to translate technical AI solutions into clear, simple messages for non technical stakeholders ...

with React for front-end development. Understanding of modern CI/CD, containerisation, and observability. Exposure to AI/ML tooling, vector databases, embeddings, RAG workflows, or LLM integration is a plus. About You ~5+ years in software engineering with solid full-stack experience. Comfortable owning technical work ...

within Agile teams and contributing to iterative product delivery Understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Experience working in regulated environments or with legal workflows A product focused and problem-solving mindset with the ability to work independently Ability ...

point of application Strong programming skills in Python Understanding of one or more of the following: Agentic AI systems and architectures Graph RAG or Traditional RAG Vision Language Models or Computer Vision Audio or signal processing Experience with Docker, Linux/Unix CLI, Git, and testing frameworks Experience with ...

Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores click apply for full job details ...

released in a production environment. Skills and experience Experience in deploying AI-powered systems into production Strong experience in Python Practical experience with RAG architectures Clear communication and strong problem-solving instincts If you are looking for a new challenge, then please submit your CV for initial screening and more ...

/Kent preferred Day Rate: £300–£325 per day Key Requirements: Hands-on exposure to Azure AI and Machine Learning Experience with Agentic AI , RAG systems , and GraphRAG At least 10+ years’ experience in .NET Please note: This role cannot offer sponsorship. Applicants must have full rights to live ...

assessments, and delight users Work with industry experts to turn messy claim processes into AI-driven workflows Deploy solutions using LLMs, LangChain, and RAG at scale What we're looking for 2+ years in AI/ML engineering or research Proven track record taking projects from idea → production → impact Bias ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

Strong understanding of automation, workflow optimisation and process re engineering* Experience working within Agile teams* Understanding of AI technologies such as LLMs, NLPs and RAG pipelines* Excellent communication and stakeholder engagement skills* Experience facilitating workshops and discovery sessions What is on Offer * Salary up to £55,000* Hybrid working model ...

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 ...

TypeScript-based applications Understanding of semantic/graph data (e.g., RDF triples, SPARQL , Amazon Neptune ) Ability to validate AI-supported features, including LLM/RAG behaviours via Amazon Bedrock Knowledge of performance testing for serverless architectures and WCAG 2.2 AA accessibility Familiarity with GDS Standards and testing in the public ...

Backstage and/or Compass) at scale. Experience with AI/LLM-assisted developer tooling in enterprise contexts (guardrails, controls, model governance, prompt/RAG on runbooks). Familiarity with security frameworks and evidence-led delivery practices. NOTE: Hybrid, 4 days office per week. ...

development, along with experience in Docker , PostgreSQL , or DSL/Compilers . Professional or enthusiastic personal experience with LLMs and their ecosystems (e.g., Langchain, RAG, or observability tooling). You are a "creative experimentalist" who can balance the need for speed with long-term engineering maintenance. A commitment to building ...

ambiguity, managing risk, and maintaining delivery momentum. Exposure to regulated or high-trust domains (Legal, HR, Finance, Healthcare) strongly preferred. Familiarity with Generative AI, RAG, or ML systems advantageous. Why Join? You'll play a pivotal role in ensuring Generative AI systems are delivered coherently, responsibly, and at scale-working ...

production (using e.g. OpenAI, Anthropic, Google, etc.) Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory) Building features end-to-end with TypeScript, React.js, and Node.js As a person, you... Are first and foremost a builder. ...

similar engineering languages is a must Experience working with APIs, cloud infrastructure and data processing. Previous experience within AI tech such as LLMs, RAG, embedding, vector databases is a big plus as is any previous experience within an AI, Data or B2B SaaS company. This is a great time ...

operating with high autonomy and minimal process Strong communication skills in async, remote environments Nice to Have Experience building AI-powered backend systems (LLMs, RAG, agents) Platform/infrastructure experience Experience designing APIs used by other engineers Exposure to self-hosted or enterprise deployment models Not the Right ...