4 of 4 Permanent Information Retrieval Jobs in London

credit teams. They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure . This role suits someone with a strong academic background from a leading university , alongside clear evidence of success in high ownership projects. … Experience with knowledge graphs and information retrieval is essential: Responsibilities Design knowledge graphs Build advanced information retrieval systems Create robust information extraction pipelines Translate research into production infrastructure On offer The opportunity to build a deep tech AI model and conduct original, applied research Founding ...

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 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles ...

academic lab environment. This role is London based and primarily office led. 🚀 Key Responsibilities Design and implement state of the art instruction tuning and information retrieval methods Fine tune and deploy large open source LLMs in production Apply reinforcement learning approaches including SFT, DPO, PPO and GRPO Develop ...

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 scale … combine strong academic foundations with practical engineering execution. The role You will work on applied research problems directly connected to production GenAI systems: 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 ...