8 of 8 Remote/Hybrid Information Retrieval Jobs

with real ownership and mentorship. Key Responsibilities Develop causal-discovery algorithms to find root causes in complex manufacturing data Design and implement agentic RAG (retrieval, ranking and context selection) methods to support enterprise question-answering Build document-intelligence pipelines to extract and cross-check information from drawings, specifications … from legacy enterprise systems Deploy and maintain models and pipelines in production environments; collaborate with the SCOTi engineering team Requirements Required Strong mathematical foundations (information theory, optimisation, statistics) Knowledge of vibe coding Creative problem-solving and collaborative communication skills Right to work in the UK Desirable/Knowledge ...

performing scalablesystems 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, and partner with cross‐functional and remote teams. Be an Agile Person: With a strong sense of urgency and a desire … related cloud platform) 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. Ability to understand and translate between language and methodologies used both in research and engineering fields Ability to take ...

Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities … scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems ...

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 ...

every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI. Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded … help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information ...

production ready delivery. You’re an expert in any of the following areas - deep expertise in one and familiarity with others is ideal: Information Retrieval: chunking strategies, (finetuning) embedding models, training re-rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems ...

users. 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 … 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 ...

Building, Osney Mead, Oxford, OX2 0EW, with hybrid working About the Role We are seeking an enthusiastic individual to join the Bodleian Libraries’ Information Skills team at an exciting time as we transform information literacy support for Oxford’s students and researchers, with a particular focus on Artificial … considered. Hybrid working is also supported. About You You will be educated to degree level, or have equivalent professional experience, be proficient in information retrieval and critical evaluation skills. You will have knowledge of AI and Machine Learning gained through study or professional experience, alongside strong digital, communication ...