11 of 11 Information Retrieval Jobs in the UK excluding London

passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong … 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 or reinforcement learning - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features More ❯

Job Title: Information Manager (18 Months Fixed Term) Location: Basildon Salary: £37,339 - £44,962 per annum Job Type: Full-time, 18 Month Fixed Term Contract SYNLAB UK & Ireland collaborates closely with clinicians, hospitals, occupational health providers, and clinical researchers to deliver comprehensive pathology services. We foster an inclusive … culture ensures that employees at all levels are supported in their growth, with opportunities for learning, coaching, and career progression. The Role: As an Information Manager, you will play a key role in maximising the value of data within our Laboratory Information Management System (LIMS) and associated systems. … ultimately improving patient care for our partner hospitals and organisations. This role requires strong analytical skills and the ability to communicate complex and sensitive information to a wide range of stakeholders, from senior healthcare professionals and non-clinical managers to those with limited technical expertise. You will fully utilise More ❯

a rapidly evolving industry, with a focus on real-world applications in cyber reinsurance. Key Responsibilities Develop and optimise NLP models for tasks like information retrieval, summarisation, and other domain-specific applications. Work closely with data scientists, engineers, and domain experts to understand business needs and deliver AI … communication skills, both written and verbal. Nice-to-Haves Experience adapting large language models (LLMs) for specific domains. Knowledge of event extraction and multimodal information processing. Experience with dataset collection and improvement strategies. Familiarity with knowledge graphs and their applications. Experience handling large-scale datasets and using distributed computing More ❯

embeddings & approximate nearest neighbors search Experience with any of the following NLP tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training More ❯

forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software … Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training … Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in More ❯

forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software … Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training … Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in More ❯

a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong More ❯

10+ years of hands-on software engineering experience Background in database internals or building core engine components for large scale data processing systems or information retrieval systems/search engines (e.g. Lucene, Solr). Strong database fundamentals including SQL, performance, and multi-threading. Strong CS fundamentals including data More ❯

innovate with the Amazon Worldwide Returns & ReCommerce team! BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - 4+ years of building machine learning models or developing algorithms for business application experience - 2+ years of programming in Java More ❯

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 More ❯

knowledge team. This position demands a visionary leader with a robust understanding of artificial intelligence (AI) and its transformative impact on the knowledge and information services industry. The successful candidate will leverage their expertise in technology, particularly within the Microsoft ecosystem, to enhance knowledge management processes and drive innovation. … machine learning, to improve knowledge management practices and enhance search capabilities. Search Expertise: Leading initiatives to enhance search functionalities within knowledge systems, ensuring that information retrieval is efficient, effective, and user-friendly. Collaborating with IT and knowledge management teams to develop and refine search algorithms and indexing strategies … of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract More ❯