10 of 10 Permanent Information Retrieval Jobs in England

About the Team Elsevier’s Search & Evaluation organisation drives AI‐powered discovery by building intelligent retrieval, ranking, and evaluation systems that power trusted scientific and healthcare experiences. The team advances search relevance, retrieval quality, experimentation frameworks, and AI evaluation capabilities across Elsevier’s next‐generation AI platforms … strategic direction, technical vision, and organizational growth of our Search & Evaluation function. You’ll focus on defining and scaling evaluation frameworks, search relevance methodologies, retrieval optimisation strategies, and AI quality measurement systems across Elsevier’s AI‐powered discovery experiences. Key Responsibilities Search, Retrieval & AI Quality Strategy Define ...

National Archives (TNA) in London. Closing Date: Sunday 7th June 2026. Interviews: In person at Polaris House. Purpose of role The Knowledge & Information Management (KIM)Team plays a vital role in championing and supporting effective lifecycle management of UKRIs digital and legacy paper records. You will support a range … activities, including the delivery of information management services and projects. You will act as a key contact for one or more councils and corporate functions, helping to implement the UKRI Information Management Policy, Retention Schedule, and Information Asset Register by developing guidance, delivering training and managing enquiries. ...

graph-connected AI applications. This is not a conventional data science role. You will work at the intersection of machine learning, semantic data modelling, information retrieval, knowledge graphs, and real-world construction product data. Your work will help turn fragmented industry data into reliable, contextual, and explainable decision … Computer Science, Data Science, AI, Software Engineering, Mathematics, Statistics, or a related field. 4+ years of hands-on experience in data science, machine learning, information retrieval, NLP, knowledge graphs, or related AI/data fields. Strong Python skills. Experience developing, testing, deploying, and monitoring data science or machine ...

Applied Research Engineer London (Hybrid) We're building a foundational intelligence platform that helps organisations turn fragmented information into durable institutional knowledge. Enabling better reasoning, faster decisions, and preserved context over time. Our initial focus is private capital, where information is complex and decisions are high stakes. Longer … term, we're building core intelligence infrastructure for any information-led industry. This is not a chat interface on top of documents or workflow automation. We're building the intelligence layer underneath. The Role As an Applied Research Engineer , you'll own the core knowledge and retrieval infrastructure ...

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 ...

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. ...

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 ...

direction. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers … bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific ...

manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes … devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing ...

version control, deployment processes, structured data and managed user access. Integrate practical AI solutions to improve workflows such as document analysis, data processing and information retrieval. Support colleagues by creating templates, documentation and guidance to help them build simple internal tools. To fulfil this role, the business is looking ...