10 of 10 Permanent Information Retrieval Jobs in London

II, Wear OS Watch Faces Location: London, UK Overview 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 who 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 project critical to Google's needs with opportunities to switch teams and projects as … as Skia, OpenGL and font rendering. 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 who bring fresh ideas from More ❯

machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain … knowledge extraction from legal texts and images knowledge graphs/ontology engineering legal knowledge base construction specialised embedding methods for multimodal content in the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Performing fine-tuning and reinforcement … learning to teach language models how to interact with new information architectures. Building "hard" eval sets to help identify failure modes of how language models work with legal data. Build infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and More ❯

machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search capabilities, and structured knowledge representation. Your work will bridge the gap between advanced search technologies and the complex information needs of the legal domain … knowledge extraction from legal texts and images knowledge graphs/ontology engineering legal knowledge base construction specialised embedding methods for multimodal content in the legal domain Develop methods for retrieval and reasoning over legal knowledge bases and systems (e.g. hybrid search approaches combining symbolic and neural techniques, query understanding and rewriting for legal search) Performing fine-tuning and reinforcement … learning to teach language models how to interact with new information architectures. Building "hard" eval sets to help identify failure modes of how language models work with legal data. Build infrastructure for running experiments and visualising results. Work with colleagues to communicate results internally and publicly. Stay updated with the latest research in machine learning, AI, knowledge representation and More ❯

GBR-London-5 Canada Squaretime type: Full timeposted on: Posted Todayjob requisition id: JREQ194360 London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and … delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As a Lead Applied Scientist, you will: Lead an applied research team throughout the full product … with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. More ❯

of previous machine learning models. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware speech assistant. A successful candidate will have strong machine learning background and a … application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval - 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. - Publications at peer-reviewed NLP/ML conferences More ❯

as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). If some of the More ❯

with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting More ❯

results and show a desire to develop themselves, their team, and their career. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - PhD - Knowledge of machine learning approaches and algorithms - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle More ❯

the role of a BIE? As a member of the central product team within SAS, you will assist the business teams in making data-driven decisions by transforming raw information into actionable intelligence through the creation of sophisticated data products. Key job responsibilities • Gather and translate business requirements into scalable products. • Develop complex automated data products including dashboards, reports … design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with data visualization using Tableau, Quicksight More ❯

in the Department of Computer Science at City University would particularly like to encourage PhD applications in the areas of music and sound computing and informatics. Research areas music information retrieval computational musicology audio transcription audio signal analysis and classification machine learning applied to music and sound semantic music representation and processing intelligent systems and user interfaces for More ❯