376 to 382 of 382 Retrieval-Augmented Generation Jobs in England

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 ...

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 ...

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 ...

grade RAG systems, knowledge orchestration, and agentic workflows. Their platform helps large organisations use their data more effectively through advanced retrieval augmented generation, intelligent automation, and high accuracy decision support. They are well funded and scaling their commercial function, and this is the first … engagement (10-18 months). Lead a top-down GTM strategy and position applied AI solutions to senior decision makers in financial institutions. Sell RAG based solutions, agentic workflows, and AI automation platforms into large organisations. Work closely with the CEO and CRO to shape commercial strategy, influence product direction ...

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. ...

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. ...