8 of 8 Remote Information Retrieval Jobs in the UK

Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Machine Learning Engineer, London Requisition ID: 47818 Business Unit: Fitch Group Category: Information Technology Location: London, GB Fitch Group is currently seeking a Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch … integrating AI solutions into existing workflows Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines 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: You will have the … as knowledge and proficiency in at least one programming language. Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective. Knowledge of information retrieval and/or analytics domain. Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service …/or experience with distributed systems Experience and curiosity about delivering and/or developing product training Experience contributing to an open-source project or documentation LI-PF1 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 ❯

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 ❯

picture is completely different. It still behaves like it's in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered. Our mission is to change this. 9fin's proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make … Strong proficiency in Python for production ready delivery. Deep understanding of the GenAI landscape and agentic frameworks. Hands-on professional experience in one or more of the areas: NLP, Information Retrieval stacks, LLMs. Experience working in the full model lifecycle (including experimentation, training, testing, monitoring, and deployment). We are data centric and love our evals! Good knowledge 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 ❯

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 ❯

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 ❯