26 to 29 of 29 Knowledge Discovery Jobs in the UK

Head of AI & Data Science, Knowledge Discovery

Location
Greater London, England, United Kingdom
Elsevier seeks a Data Science Leader to define and drive AI and data science strategy across ML, NLP, search, and generative AI, delivering scalable, impactful solutions that advance science. You will guide teams through the ...

Senior AI Scientist — NLP, LLMs & RAG (Hybrid UK)

Location
Slough, England, United Kingdom
Elsevier is hiring a Senior Data Scientist to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready systems with measurable ...

Legal Technology & AI Attorney – International Disputes

Location
Greater London, England, United Kingdom
practising lawyers, combined with an innovator's mindset energised by designing, testing, and scaling new tools, workflows, and systems. As part of the Knowledge Management & AI Group, this position collaborates across offices and administrative teams—including Research, Practice Group Management, and Information Technology—to translate emerging technology into … practical, high-impact tools for lawyers and clients. This role reports to the Sr. Director & Counsel of Knowledge & AI. Responsibilities include: AI, Technology & Innovation Identify opportunities to apply AI, automation, and emerging technologies to Disputes matters, including litigation and collective proceedings, international arbitration, labour and employment, antitrust ...

ml engineer for AI knowledge systems

Location
Greater London, England, United Kingdom
agents to search and reason over. It aims to provide a living specification and a single source of truth for product and architectural knowledge in software-building organizations. Задачи Design and build ML/LLM solutions for data ingestion, knowledge extraction, retrieval, and reasoning; Create datasets … metrics, and pipelines that drive measurable system improvements; Architect and improve agents for context retrieval, knowledge extraction, and data alignment, including prompt engineering, model selection, and inference optimization; Establish MLOps practices covering orchestration, observability, and experiment tracking; Collaborate with the engineering team on system design and with JetBrains ...