201 to 223 of 223 Retrieval-Augmented Generation Jobs in the UK

months IR35: Outside Location: London (onsite once per month ) Start: ASAP What you’ll work on Building Agentic AI workflows and automation Designing RAG pipelines for insurance data Developing LLM-powered tools using Python , LangChain , LlamaIndex , and vector databases Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral … Data Science & Engineering teams to productionise models What you’ll need Strong Data Science + AI Engineering background Hands-on experience with Agentic AI , RAG , LLMs , LangChain , Python Knowledge of vector search, embeddings, and scalable pipelines Experience working in enterprise or regulated environments Must have insurance domain experience Insurance domain ...

Responsibilities • Build AI PoCs and MVPs in fast innovation cycles (2–6 weeks) • Develop GenAI solutions using LLMs, SLMs and vision models • Implement RAG pipelines and agentic workflows • Build lightweight APIs using Flask or Django • Deploy solutions using serverless and cloud-native services • Collaborate in client workshops, demos and innovation … Salary: £70k–£85k base (flexible for strong profiles) • Working model: Hybrid, 3 days per week in London office • Tech stack: Python/JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic frameworks, Azure/AWS • Visa: No sponsorship available Interested? Please apply below. ...

development mindset , integrating AI tools into the SDLC for code generation, testing, debugging, and optimisation. Design and implement AI-powered capabilities , including RAG workflows, intelligent search, and recommendation systems. Stay ahead of emerging trends in AI and full-stack development , and apply them to real-world solutions. Mentorship … coding practices , data privacy, and compliance requirements. Experience building reliable, production-ready systems at scale. AI Experience Experience working with LLMs, embeddings, LangChain , and RAG-based architectures. Familiarity with AI-driven automation to improve engineering efficiency. Why Join ECA? Work on innovative, AI-powered full-stack solutions Lead and influence ...

depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search ...

depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search ...

/Recommendations/LLMs/RAG/Digital experience Business Analyst - AI & Digital Experience (Contract) London (Hybrid) 6-month contract Outside IR35 £575 per day We're looking for an experienced Business Analyst to support the delivery of an AI-powered digital experience , focused on conversational AI, personalisation, and data …/ML teams Ability to bring structure and clarity to complex or ambiguous problems Exposure to AI-driven products (chatbots, personalisation, recommendations, RAG, LLMs) Understanding of data concepts (APIs, analytics, data flows) Experience in customer- or member-centric digital experiences AI/Recommendations/LLMs/RAG/Digital experience ...

build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/… technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from ...

month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of the underlying mathematical foundations … designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools (LLMs/RAG etc.) and approaches across all data lifecycle stages. Advanced SQL knowledge. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Benefits: 25 Days ...

technologies and position Tarmac as an industry leader. Build Enterprise AI & Automation Capability Develop and operate AI delivery frameworks: LLMOps, model evaluation, monitoring, RAG, and integration architecture. Create AI reference architectures, quality standards, and assurance processes including red-teaming and model drift detection. Oversee secure OT/IT integration … with RPA (UiPath), industrial/processing environments, OT data, predictive maintenance, or computer vision. Familiarity with CRH or large multi-site organisations. Knowledge of RAG, agentic AI, enterprise AI tools, and ISO/IEC 42001. Qualifications A degree in Computer Science, Data Science, Engineering, Business or equivalent experience. Relevant certifications ...

design and build intelligent, autonomous systems that power real-world AI products. You'll be shipping software, helping clients design and implement robust RAG pipelines and agentic workflows that scale. Contract: 3 month contract > FTE transition Location: Remote (UK/EU) Rate: £300-375 | €350-430 p/day Start … Date: ASAP What You'll Be Doing: Designing and building agentic AI systems for client-facing AI products Creating RAG pipelines (retrieval, indexing, embeddings, orchestration) tailored to different use cases Developing agentic workflows (multi-agent, tool-using, decision-making systems) Writing clean, production-ready Python code Integrating LLMs ...

moving environment Immediate impact: Your code will run in production and support real users from day one. Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system. Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do Obsessive … productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines : hybrid retrieval, re-ranking, grounding, and context validation. Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows. ...

various AI providers Tool Creation: Developing "Tools" (Function Calling) that allow LLMs to interact with real-world data, enabling features such as consultant lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining … understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data Benefits: 25 Days ...

Product Manager - Hybrid - Cambridge - £55,000 I am working with a highly respected, long-established professional services organisation that is investing in next-generation AI solutions. They are modern, forward-thinking and currently transforming how their teams deliver legal and operational services using automation, LLMs and responsible … Strong understanding of automation, workflow optimisation Experience working in Agile teams (Scrum or Kanban) Knowledge of AI technologies (LLMs, NLP, extraction/classification, summarisation, RAG pipelines, etc.) Experience in regulated environments or legal workflows (advantageous) Strong process-mapping and analytical skills (UML, BPM, modelling tools) Proficiency with tools such ...

LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake ). Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns ), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit. Integration … designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across ...

team with a genuinely high technical bar? A fast-scaling, YC-backed LegalTech AI company is building GenAI systems across document processing, draft generation and information retrieval. Their platform is already used by hundreds of legal teams globally, and they’re now expanding their AI group as they … improving retrieval, reasoning quality, grounding, evaluation, and system robustness across large, complex document corpora. Key responsibilities Build and iterate on LLM + RAG pipelines over technical/legal documents Design evaluation methods to improve correctness, faithfulness, and reliability Improve retrieval quality (chunking, ranking, metadata strategies, failure ...

policy enforcement to stop bad code early. They're also part of a leading UK cyber security accelerator programme, supporting the next generation of high-growth security startups. The role You'll join a small, high-output engineering team and build customer-facing features end-to-end - front … direction. This role includes LLM exposure, but the emphasis is practical integration via APIs (plugging LLM capabilities into workflows), not building research-heavy or RAG-first systems. What you'll do Build and ship product features across the stack (UI API cloud) Develop back-end services in Python, delivering reliable ...

office The Role AWS Solution Designer (with GenAI experience) Your responsibilities: Lead end to end GenAI initiatives including model creation, finetuning, benchmarking, evaluation, and RAG system design. Drive LLM evaluation frameworks ensuring accuracy, safety, robustness, and alignment with business and compliance needs. Manage delivery of AI and data projects, ensuring … Profile Essential skills/knowledge/experience: Techno manager with experience hands-on(preferably)/delivery on GenAI - Models creation, Finetuning, Benchmarking and evaluation, RAG, LLM evaluation. Stake holder management, Delivery management. ...

growing Business Systems function. With a national presence and a long-established reputation for excellence, the organisation is investing heavily in next-generation technology that enhances service delivery, drives efficiency, and improves client outcomes. The business is known for its collaborative culture, forward-thinking approach, and commitment … Experience working within Agile teams and supporting iterative product delivery Knowledge of AI concepts such as LLMs, NLP, classification/extraction models, summarisation or RAG workflows Ability to simplify complex technical concepts for non-technical audiences Strong stakeholder engagement and workshop-facilitation skills Experience contributing to or leading Agile/ ...

Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills ...

systems that can handle millions of users and complex AI workloads. Solve the hardest problems in applied AI: from model fine-tuning and novel RAG techniques to high-throughput, low-latency data infrastructure. What You'll Have A proven track record: You have been a CTO, Founder (especially from … startup. Expert, "hands-on" skills in TypeScript and building complex distributed systems. Deep expertise in architecting and deploying complex AI/ML systems (LLMs, RAG, data platforms). You've likely done this before , and are raring to do it again, faster, better, and with a world-class team. ...

with design systems to create accessible, scalable, reusable UI components Collaborate with designers to test, refine, and elevate user journeys Bring AI capabilities (LLMs, RAG, embeddings) to life in a way that feels natural and user-first Influence product direction by demonstrating what's possible through UX-led prototypes Essential … feature end-to-end , from concept sketches to polished UI Nice to Have Experience with native design patterns (iOS/Android) Familiarity with RAG, embeddings, vector databases Python (for small prototyping tasks) Design system experience (creation or contribution) Experience designing media, content, or large-scale consumer platforms Your ideas could ...

RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply ...