26 to 30 of 30 Ontologies Jobs in the UK

products centered on entity resolution, symbology and knowledge graph capabilities, and you will work close to the detail. That means defining data models and ontologies, writing requirements, working through data quality problems, validating solutions with engineering and getting capabilities into production. You will lead through influence rather than line management. … identifier mapping, corporate hierarchies and ownership, and the knowledge graph that connects them. Get hands-on with the data. Define entity and relationship models, ontologies and metadata standards; profile and investigate data; shape matching and linkage logic; and write detailed requirements and acceptance criteria. Build deep expertise in Fitch ...

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite's technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignment Integrate AI systems with enterprise platforms through APIs, tools and connectors Set the technical direction on your … grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly Comfortable in client-facing delivery, ideally within a consultancy Desirable Domain ...

Technology role leads the diagnosis, design and implementation of R&D's data foundations across its seven core elements - data quality, ontology, governance and ownership, data discovery, access and authorization, data integration and platforms, and data products. You will map end-to-end data journeys, identify systemic pain points … through to implementation. · Experience developing business cases, including articulating impact, effort, and feasibility trade-offs. · Working knowledge of data management concepts across data quality, ontology, governance and ownership, data discovery, access and authorization, data integration and platforms, and data products. · Strong communication, facilitation and influencing skills across technical ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key AccountabilitiesClient-Facing AI Engineering & Agentic System DesignYou will design and deliver ...