51 to 60 of 60 Ontologies Jobs in the UK excluding London

engineering ecosystem is resilient, scalable, and logically consistent. Implementing the Digital Thread: Developing software that transforms fragmented data from disparate sources into a unified, ontology-driven Knowledge Graph. Enabling Composable Engineering: Building a digital environment where relationships between engineering artefacts are first-class citizens, allowing for flexible and concurrent views … moves through the thread, adding semantic value and context. Adapter Development & Data Mapping Develop tool adapters that map local data schemas to a global ontology, ensuring that tool-specific data is ingested into the graph without losing semantic meaning. Focus on "mapping to the model" rather than "mapping ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

tool interfaces, and integration patterns that enable AI capabilities to interact effectively with MES business processes. Leading the platform's approach to data modelling, ontology strategy, semantic understanding, and business context required for AI-driven experiences. Providing architectural leadership across multiple engineering teams delivering AI, Integration, IoT, Connected Worker … software products. Experience designing APIs, service contracts, and software architectures. Experience with cloud-native application development and modern SaaS architectures. Experience with semantic modelling, ontologies, knowledge graphs, or domain-driven modelling approaches used to represent complex business domains. Strong understanding of software architecture, security, scalability, reliability, and observability. Excellent C# ...

define entities attributes relationships cardinality Experience modelling complex domains with many-to-many relationships hierarchical structures rule-based logic Experience in knowledge graph modelling ontology tools (e.g. Protégé) graph concepts (nodes, edges, traversal) Experience in regulated environments (government, finance) Conduct knowledge discovery across the organisation, working with stakeholders to understand … domains Translate unstructured understanding into structured artefacts (models, diagrams, definitions) Develop conceptual and logical data models to underpin knowledge graphs Support the creation of ontology and taxonomy models Enable downstream teams to build knowledge graphs RAG pipelines AI retrieval systems Public sector background Location: Remote with key meetings in Manchester ...

broader solutioning ecosystem. This role sets the technical and operating direction for software developers, UX developers and designers, tools application developers, enterprise data architecture, ontology development, and deployment/testing capabilities. Operating as the leadership anchor for the tools team, the role promotes modern software development practices, strong product … through transformation Accountabilities Lead and develop a multidisciplinary tools organization spanning software developers, UX developers and designers, tools application developers, enterprise data architecture, data ontology resources, and deployment/testing roles. Define and execute the tools team operating model, engineering standards, and delivery practices needed to build scalable, secure, maintainable ...

data map measured bioactivity data from the scientific literature to other biological entities (proteins, cell-lines etc) using a variety of bioinformatics resources and ontologies work collaboratively with other EMBL-EBI teams to integrate ChEMBL data into their resources and vice versa proactively identify new data types and additional annotations … skills (both verbal and presentational) You might also have Prior experience of biological data curation and knowledge of bioinformatics databases Some knowledge of biological ontologies Experience of working in a drug discovery environment Experience of working with and manipulating file formats such as FASTA, Excel, XML, OBO and familiarity with ...

University of Sheffield invites applications for a Knowledge Graph and Ontology Specialist within AMRC. You will design, build and maintain ontologies, apply 3D/4D modelling, and collaborate with engineers and data scientists to ensure FAIR semantic models. We seek candidates with strong background in RDF(S)/OWL, Protégé ...

University of Sheffield is seeking an experienced Knowledge Graph and Ontology Specialist to build the semantic foundations for the future of industrial data. We offer flexible working opportunities and a commitment to development and wellbeing, with a benefits package including generous annual leave and pension schemes. In this role … will tackle complex data challenges, design ontologies, and enable scalable data integration across multiple systems. #J-18808-Ljbffr ...

University of Sheffield invites applications for a Knowledge Graph and Ontology Specialist within the Advanced Manufacturing Research Centre. You will design and implement semantic architectures to make industrial data interoperable, understandable and queryable, guiding knowledge graph lifecycles and ontological standards across multiple projects. With 2-3 years in knowledge engineering … will articulate 4D vs 3D modelling decisions, document ontology releases, and mentor junior staff #J-18808-Ljbffr ...

experienced knowledge engineer who enjoys solving complex data challenges? We have an exciting opportunity for you to join us as a Knowledge Graph and Ontology Specialist and build the semantic foundations for the future of industrial data. #J-18808-Ljbffr ...