3 of 3 Remote/Hybrid Information Retrieval Jobs in London

Research Engineer

Hiring Organisation
Arrows
Location
City of London, London, United Kingdom
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 ...

ML Engineer

Hiring Organisation
Gold Group
Location
London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£75,000
Engineer (Stealth AI Company) About the company We are building a foundational intelligence platform that transforms fragmented, proprietary information into durable institutional intelligence - enabling organisations to reason faster, preserve context, and compound knowledge over time. We are starting with information-dense, judgment-heavy industries where decision-making under … uncertainty is core. Long-term, the platform is designed for any information-led organisation where trust, provenance, and context matter. Our focus is not surface-level AI features, but the intelligence substrate that workflows depend on. The problem we're solving Most organisations don't struggle with data volume. ...

Senior Data Scientist

Hiring Organisation
Elsevier
Location
City of London, London, United Kingdom
Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities … scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems ...