6 of 6 Remote Information Retrieval Jobs in London

MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus on Natural … Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and domain-specific GenAI solutions to support key internal use cases and products. Responsibilities In this role you will: Design, implement and maintain scalable NLP … state-of-the-art research in the space of LLMs/NLP, proposing new ideas and methodologies that unlock business value. Contribute to the development of RAG systems and retrieval pipelines, including chunking, embedding, re-ranking, and evaluation. Participate in experiments, including designing experimental details, writing reusable code, running evaluations, and organising results. Collaborate with a team and help More ❯

NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval techniques, and prompting workflows, to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As an More ❯

blends advanced modeling, analytical investigations and project ownership. You'll take the lead on projects that improve the core discovery experience-such as personalisation, relevance ranking, and multi-modal retrieval-as well as conduct deep investigations into user behaviour and feature performance. You'll be working across the full research and experimentation lifecycle: from framing the problem and exploring … launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement, retention … or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of offline evaluation techniques and trade-offs in information retrieval and recommender systems Ability to communicate clearly across disciplines and seniority levels-including More ❯

/Day Inside IR35. Clearance: SC Role Profile: Large Language API's (from 2021) Must have experience in building Large Language Model based applications incorporating tool usage and information retrieval Must have experience in Python programming language Must have experience administering Amazon Web Services accounts Must be able to take ownership of the entire feature development lifecycle, i.e. More ❯

Engineers with experience of working in an Agile environment amongst multi-disciplinary teams. Key Requirements Must have experience in building Large Language Model based applications incorporating tool usage and information retrieval. Must have experience in Python programming language. Must have experience administering Amazon Web Services accounts. Must be able to take ownership of the entire feature development lifecycle, i.e. More ❯

emerging solutions within the Generative AI space to build capabilities around synthetic audiences and personalisation. Experience requirements : Experience in building Large Language Model based applications incorporating tool usage and information retrieval. Experience in Python programming language. Administering Amazon Web Services accounts. Able to take ownership of the entire feature development lifecycle, i.e. development and testing through to deployment. Should More ❯