176 to 186 of 186 Retrieval-Augmented Generation Jobs in the UK

make a real impact. This is a hands-on role where you'll work with cutting-edge tools and frameworks to deliver next-generation solutions. Key Responsibilities Design, fine-tune, and implement LLM-based systems for real-world applications Work with frameworks like LangChain, Hugging Face, and vector … innovation What We're Looking For Strong experience with LLMs, NLP, and generative AI Proficiency in PHP Knowledge of prompt engineering, fine-tuning, and RAG architectures Ability to thrive in a dynamic startup setting What's on Offer Fully remote – work from anywhere Flexible salary based on experience Rolling contract ...

microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines LLM-powered features RAG pipelines (embedding models, chunking strategies, semantic search) Document extraction/processing (PDF parsing, OCR, agentic pipelines) Clinical content … code and deploy serverless services. Help architect systems that scale to hundreds of thousands of clinicians. AI & Clinical Knowledge Retrieval Build RAG workflows that safely surface medical knowledge. Develop clinical document ingestion pipelines that process PDFs, protocols, and policies. Validate AI-generated outputs with clinical context and domain ...

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We’re supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual … expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will ...

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 ...

systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power intelligent automation and real-time processing. Manage infrastructure: relational … track record of building and shipping production-ready systems. Hands-on experience with distributed systems, APIs, databases, and cloud infrastructure. Familiarity with LLMs, LangChain, RAG, or fine-tuning techniques (SFT/RL). Strong problem-solving and debugging abilities with a proactive, builder’s mindset. Comfortable in a fast-paced ...

business. What You'll Do Design and implement a comprehensive AI testing and evaluation framework for all AI solutions, including LLM-based tools, RAG systems, and third-party platforms. Define and document quality standards for semantic accuracy, factual consistency, bias, tone, and relevance. Develop reusable testing templates, data sets … tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication ...

maturity, you must possess the technical depth to design specific implementation patterns and provide granular guidance to engineering teams. You will not just "recommend" RAG; you will define the orchestration logic, the embedding strategies, and the technical guardrails required to make it production-ready. Critical Requirement: You must be able … granular level. Key Responsibilities 1. Technical Solution Design & Deep-Dive Architectural Blueprints: Move beyond high-level boxes and arrows to create detailed designs for RAG patterns, Agentic workflows, and Graph-based retrieval systems. Orchestration & Pipelines: Define the execution logic for AI pipelines, including prompt chaining, state management ...

work on cutting-edge Generative AI projects that are currently in the research phase and have the potential to shape the next generation of healthcare technology. Due to NDAs, full project details will be shared during an initial conversation — but expect complex, meaningful, and highly innovative AI challenges. … they’re looking for: > 7–8 years’ commercial experience in AI/Machine Learning > Strong hands-on expertise in Generative AI (LLMs, multimodal models, RAG, diffusion models, or similar) > Solid background in healthcare – NHS, medtech, clinical data, medical devices, or regulated environments > Ability to demonstrate the evolution of AI technologies ...

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 ...

supporting a next-generation AI business that is reinventing how enterprises automate complex analytics and data science workflows. They build digital AI workers that remove fragmented tools, eliminate overhead, and deliver insights dramatically faster. They are now looking for a Lead AI Engineer to help design and deliver … execution • Breaking complex problems into manageable components and driving alignment across business and technical teams • Getting hands on with modern AI systems including LLMs, RAG, MCPs, and agent workflows What they're looking for • Strong solution architecture mindset • Experience leading technical delivery or project squads • Ability to translate ambiguous business ...

hiring our first dedicated Head of Product to take the product reins from our founder and help us build the next generation of AI powered clinical knowledge tools. If you are an experienced product leader who still loves getting close to the work and the users, this … impact, not just optimise another ad funnel Nice to have These are bonuses, not requirements Experience with AI products, especially retrieval augmented generation, search or recommendation systems Experience in tools for knowledge management, collaboration or workflow automation Exposure to healthcare or regulated environments ...