7 of 7 Remote/Hybrid Knowledge Discovery Jobs in England

Product Owner – Knowledge Repository & Management Platform London, United Kingdom Job Description About Chubb Chubb is the world's largest publicly traded property and casualty insurance company, with operations in 54 countries and territories. As an underwriting company, Chubb assesses, assumes, and manages risk with insight and discipline. … management technologies: SharePoint Online/M365, graph databases, semantic search, vector stores, or enterprise content platforms Experience with enterprise search and knowledge discovery platforms, including evaluation, implementation, or scaled deployment of intelligent search solutions Demonstrated ability to influence and align senior stakeholders across business and technology ...

Senior Data Scientist, London/Oxford hybrid working. Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact … quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems ...

Senior Data Scientist, London/Oxford hybrid working. Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact … quality. About the Role In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems ...

agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques … into measurable outcomes that improve how researchers discover and use knowledge. Responsibilities Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge ...

help shape how information is organised, governed and used across a major AI-enabled transformation programme. This role sits at the intersection of knowledge management, business analysis and AI adoption. You'll work with stakeholders across the business to improve the quality, discoverability and effectiveness of enterprise data … architecture frameworks that make business knowledge easier to find and use. Working with stakeholders to understand requirements and improve knowledge discovery and retrieval capabilities. Identifying content gaps, duplication and quality issues across knowledge assets, then driving remediation activities. Leading evaluation and user testing ...

APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines ...

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 ...