26 to 44 of 44 Information Retrieval Jobs in the UK

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 ❯

even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the … existing components and technologies that can be leveraged to deliver on our goals. - Identify, assess, track and mitigate issues and risks at multiple levels. - Create, maintain and disseminate project information to stakeholders. BASIC QUALIFICATIONS - 5+ years of product or program management, product marketing, business development or technology experience - Experience with feature delivery and tradeoffs of a product - Experience owning More ❯

Back-End engineering in production environments (5+ years) (Mid/Senior Level role) Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning. Proven experience delivering AI/Machine Learning solutions inside a product. Track record of good written and verbal communication of complex … at of the nature of the accommodation that you may require, to ensure your equal participation. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Referrals increase your chances of interviewing at Deel by 2x. 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 ❯

at the forefront of applied research in an industry setting? Thomson Reuters Labs in Canada is 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 needs and technical feasibility. Our team is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters' LegalTech Products , including CoCounsel Core , CoCounsel Drafting , Practical Law , HighQ , Legal Tracker … 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 ❯

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 ❯

experience at a worldwide scale. Innovation Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advance information retrieval techniques to solve real world problems of competitive data analysis? Does the challenge of building real time, highly scalable solutions for the most complex online business using More ❯

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 PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating More ❯

contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community. Areas of expertise: Information Retrieval, Recommendation System, Language Technologies, Foundational Models, Generative AI Technologies, and Machine Learning What You'll Do Participate in groundbreaking research in artificial intelligence with a focus on … through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferences Who You Are You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender 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 ❯

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 ❯

have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and More ❯

have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and More ❯

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 PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating More ❯

experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. As the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead a team of scientists and engineers to work … at . BASIC QUALIFICATIONS 1+ years of scientists or machine learning engineers management experience 3+ years of building machine learning models for business application experience Knowledge of ML, NLP, Information Retrieval and Analytics Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management More ❯

highly visible to senior leadership and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and More ❯

to 4 years of hands-on software development covering both front and backend development. We're looking for a software engineer who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design. Any experience of networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile would be very useful. More ❯

reproduction, and mixing), and the related area of room acoustics (studio design for 3D, living room influence on 3D). Other current research areas include source separation and music information retrieval (including automatic metadata generation)." The position is located at our brand-new purpose-built R&D laboratory at Salford Quays, in Greater Manchester, and the deadline More ❯