18 of 18 Information Retrieval Jobs in London

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and … delivery of AI solutions and leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. The work you will do will also ensure AI technologies are effectively aligned with business objectives, driving product innovation and value. About the Role As a Lead Applied Scientist, you will: Lead an applied research team throughout More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and … delivery of AI solutions and leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. The work you will do will also ensure AI technologies are effectively aligned with business objectives, driving product innovation and value. About the Role As a Lead Applied Scientist, you will: Lead an applied research team throughout More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and … delivery of AI solutions and leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. The work you will do will also ensure AI technologies are effectively aligned with business objectives, driving product innovation and value. About the Role As a Lead Applied Scientist, you will: Lead an applied research team throughout More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and … delivery of AI solutions and leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. The work you will do will also ensure AI technologies are effectively aligned with business objectives, driving product innovation and value. About the Role As a Lead Applied Scientist, you will: Lead an applied research team throughout 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 ❯

working at the forefront of applied research in an industry setting?Thomson Reuters Labsin London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What doesThomson Reuters Labsdo? We experiment, we build, we deliver. We support the organization and our customers through applied research in … informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters' LegalTech Products, includingCoCounsel Core, CoCounsel Drafting, Practical Law, HighQ, Legal Tracker, Document Intelligence, Contract … 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 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 ❯

Enterprise Architect - Contract Role Description:-Ensures implementation of information management policies and standard practice.-Communicates the benefits and value of information, both internal and external, that can be mined from business systems and elsewhere.-Reviews new change proposals and provides specialist advice on information management. Assesses and manages information-related risks.-Contributes to the development of … policy, standards and procedures for compliance with relevant legislation.?-Devises and implements master data management processes.-Derives data management structures and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation, throughout the organisation.-Plans effective data storage, sharing and publishing within the organisation. Independently validates external information from multiple sources.-Assesses issues that … might prevent the organisation from making maximum use of its information assets. Provides expert advice and guidance to enable the organisation to get maximum value from its data assets.?-Sets standards for data modelling and design tools and techniques, advises on their application and ensures compliance.-Manages the investigation of enterprise data requirements based upon a detailed understanding of More ❯

Excellent problem-solving and investigative skills. 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 … 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 … creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See 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, prompting workflows, to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. As a Senior … 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. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make … Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on More ❯

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 a focus on Natural Language 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 and GenAI pipelines (including data … 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 ❯

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 ❯

QUALIFICATIONS - Experience in building and launching deep learning and machine learning models for business applications - Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.) - Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms - Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP More ❯

measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you … scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience with AWS technologies PREFERRED QUALIFICATIONS - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. More ❯

experience with hyper-personalization workloads - Ability to create compelling customer proposals and executive-level presentation skills - Expert level understanding of Cloud Computing, Hybrid, Multicloud environments PREFERRED QUALIFICATIONS - Experience with Information Retrieval, Recommender Systems and/or Personalization algorithms - Experience with customer value management domain including creating and delivering high impact to customers through personalization workloads - Comfortable working with More ❯

them with Echo family devices. Work with stakeholders and partners to define roles and responsibilities. Fundamentally understand Amazon's Neural Edge Engine to invent optimization techniques. Apply principles of Information Theory, Scientific Computing, Deep Learning Theory, and Non-Equilibrium Thermodynamics. Manage teams involved in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists … and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience managing scientists or machine learning engineers. Knowledge of ML, NLP, Information Retrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business applications. Experience building complex software systems 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 ❯