1 to 25 of 30 Permanent Information Retrieval Jobs in London

to generate new insights, enable analytics, gain efficiencies and automation. This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification, and has won awards and recognition for its work. The team's future projects will be in diverse areas, such …/ML and Python Strong Python programming skills with demonstrated expertise in building production-grade applications Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. AI/ML: Hands on experience with training and … use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete More ❯

deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing and integrating … powered applications in production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers , or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and containerization … and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience, including forecasting, recommendation systems, or 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 ❯

shopping, considering scalability, latency, and quality. Design and implement innovative AI technologies that push the boundaries of Natural Language Processing (NLP), Generative AI, MLLMs/VLMs, Machine Learning (ML), Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL). Lead science roadmaps spanning multiple areas, working with senior leaders and stakeholders. Develop and evaluate production Agentic AI systems for real … learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for business application - PhD in NLP, Information Retrieval, Machine Learning, or related fields (or equivalent experience), with 6+ years of industry experience. - Extensive experience with deep learning-based NLP, IR, and MLLM/VLM methods. More ❯

Computer Science, Math, Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking … for expertise in Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving … is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable More ❯

of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Search Inference team … scale inference capabilities for embeddings and reranking models that are available across the Elasticsearch user base. As a team, we are a collaborative, cross-functional group with backgrounds in information retrieval, natural language processing, and distributed systems. We work with Go microservices, Python, Ray Serve, Kubernetes/KubeRay, and work on AWS, GCP & Azure. We provide thought leadership … for growth! Please include whatever info you believe is relevant in your application: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic More ❯

orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow More ❯

In particular, the project focuses on conversational search in shopping, developing next-generation conversational search systems in the shopping domain that seamlessly bridge natural shopping dialogues with precise product retrieval and recommendation. Key challenges include developing new methods for grounding conversational context in product attribute space, designing efficient retrieval mechanisms that can handle both structured product metadata and … will extend beyond traditional conversational search paradigms by integrating agentic frameworks that can proactively identify, clarify, and refine user needs through strategic dialogue management, while simultaneously orchestrating multiple specialized retrieval agents for different aspects of the shopping journey (e.g., attribute extraction, price comparison, review analysis, and specification matching). We experiment and innovate relentlessly. Science is core in our … cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. In this role you will: Lead research projects in conversational search and retrieval-augmented systems Develop novel architectures combining dialogue management with product search Design and implement evaluation frameworks for agentic conversational shopping systems Publish research findings in top-tier conferences and More ❯

You will develop high performing scalable systems in the context of large online delivery environments. Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams. Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced … have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields Hands-on experience in other programming language/… 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 More ❯

years for PhD) experience in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/Statistics or another related field of science. Depth of expertise and experience in developing and deploying to production machine learning models for recommendations, personalisation, or … their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to … IPOs of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate … functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. As an example, we have More ❯

experience with data structures or algorithms. 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 … powering more than 3 billion 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 has to offer. We provide the More ❯

e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and More ❯

delivering value rather than pure engineering. 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 ❯

knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach … language models how to interact with new information architectures Building "hard" knowledge base eval sets to help identify failure modes of how language models work with external data Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your … communication Strong candidates will also have experience with: Collaborating with product teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing The expected salary range for this position is: Annual Salary More ❯

theory and practice of design of experiments and statistical analysis of results - 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 programming to extract, transform and clean large (multi-TB) data sets - Experience working directly with business stakeholders to translate More ❯

link Copy link Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. Preferred qualifications: Experience with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP. Experience in network programming or developing/designing large software systems. 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 … serve, creating a culture of belonging, and providing equal employment opportunities 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 conditions (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See More ❯

at the forefront of applied research in an industry setting? Thomson Reuters Labs in London s seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? 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 need and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters' Core Research Products, including Westlaw , Practical Law … About the Role Lead Applied Scientists are experts in Machine Learning/NLP, 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 ❯

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 ❯

Preferred qualifications: Experience working with Kotlin. 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 … for our users around the world. 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 ❯

Swift. Experience working with Objective-C. 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 … for our users around the world. 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 ❯

Preferred qualifications: Experience working with Kotlin. 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 ❯

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 ❯

d love to hear from you and encourage you to apply. Strong understanding and experience of development and productionisation of data science products in the Search domain, for example, information retrieval. Strong understanding and experience of experimentation within data science. Experience with model lifecycle management and MLOps, particularly within AWS. Experience of supporting other Data Scientist/s with … means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved 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 ❯