3 of 3 Remote/Hybrid Information Retrieval Jobs

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 ...

Senior Machine Learning Scientist

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £95,000 per annum
Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end. Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation. Design robust evaluation frameworks, define metrics and benchmark model performance across a range … applications. Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques. Partner with engineering teams to deploy and monitor production-ready machine learning solutions. Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues and promoting technical best practice. ...

Data Scientist

Hiring Organisation
Elsevier
Location
London Area, United Kingdom
every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded … help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information ...