13 of 13 Knowledge Discovery Jobs in London

Data Science Leader AI for Science, Research Intelligence & Knowledge Discovery Technology – Data Science Organization Are you ready to lead the teams building AI that helps advance science? Are you motivated to shape AI and data science strategy that drives meaningful impact across products, customers, and business outcomes … Would you enjoy leading teams to build advanced AI systems that power knowledge discovery and innovation at scale? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical ...

Data Science Leader AI for Science, Research Intelligence & Knowledge Discovery Technology – Data Science Organization Are you ready to lead the teams building AI that helps advance science? Are you motivated to shape AI and data science strategy that drives meaningful impact across products, customers, and business outcomes … Would you enjoy leading teams to build advanced AI systems that power knowledge discovery and innovation at scale? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical ...

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 ...

About the team Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier’s Platform Data Science organization , a centralized AI and data science group responsible for advancing intelligent discovery … managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation , contributing to the next generation of AI-powered scientific discovery tools. This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications , who enjoys building ...

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 ...

knowledge graph modelling ontology tools (e.g. Protégé) graph concepts (nodes, edges, traversal) Experience in regulated environments (government, finance) Conduct knowledge discovery across the organisation, working with stakeholders to understand how data and processes relate Conduct structured stakeholder interviews and workshops Extract implicit knowledge … entities, relationships and semantics across domains Translate unstructured understanding into structured artefacts (models, diagrams, definitions) Develop conceptual and logical data models to underpin knowledge graphs Support the creation of ontology and taxonomy models Enable downstream teams to build knowledge graphs RAG pipelines AI retrieval systems Public ...

support technology or strategy assessments Support Tech Strategy by engaging with external technology organisations and academic/research institutions to foster knowledge discovery and sharing of emerging technologies Deliver technology strategy insights to partners to help them understand technology options available to support them in their … product and technology roadmap ESSENTIAL SKILLS & ABILITIES Experience using consulting skills to evaluate technology/investment options, to inform and shape strategy Deep knowledge and strategy experience at least one technical field and ability apply concepts to other technologies Strong understanding of the economics associated with related architectures ...

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 ...

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 ...

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 ...