13 of 13 RDF Jobs in the UK excluding London

teams who deliver them. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models ...

shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional ...

shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models ...

management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic web technologies (RDF, OWL, Knowledge Graphs). Data Modeler: Expert proficiency in industry‐standard data modeling tools. Mastery of multiple modeling paradigms, e.g. Relational, Dimensional, and NoSQL/ ...

embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector) Practical experience implementing RAG architectures or LLM-integrated data pipelines Familiarity with semantic web standards — JSON-LD, RDF, OWL, or SKOS Strong Python skills and experience with data pipeline frameworks Experience with cloud-native data platforms (AWS, Azure, or GCP) Exposure to domain ...

degree or equivalent BASIC (REQUIRED) QUALIFICATION Bachelor's 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 ...

industrial communication protocols (MQTT, OPC-UA). Essential or desirable: Desirable Stage(s) assessed at: Interview/Application Criterion: Familiarity with semantic web technologies (RDF, SPARQL), linked data principles, or large language model (LLM) APIs and agentic frameworks for automated data integration. Essential or desirable: Desirable Stage(s) assessed ...

connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding of scientific, research, preclinical, and clinical information across systems. Enable advanced analytics, scientific ...

knowledge graph engineering and ontological understanding underpinning its success. Main Duties And Responsibilities Design, build, and maintain formal, machine-readable ontologies (e.g., using UML, RDF(S), SHACL, OWL) to support knowledge representation across multiple high-impact industrially-focused innovation projects. Apply advanced modelling paradigms, explicitly determining the appropriate … practical understanding of the distinctions, limitations, and appropriate applications of formal ontologies versus data dictionaries, vocabularies, and taxonomies. Essential: Experience with semantic web technologies (RDF(S), OWL, SPARQL, SHACL), standard conceptual modelling languages (e.g., UML or similar) and linked data formats (e.g. Turtle). Essential: Practical experience with ontology authoring ...

vs. 4D approaches) to accurately capture complex engineering lifecycles. Main duties and responsibilities Design, build, and maintain formal, machine-readable ontologies (e.g., using UML, RDF(S), SHACL, OWL) to support knowledge representation across multiple high-impact industrially-focused innovation projects. Apply advanced modelling paradigms, explicitly determining the appropriate … distinctions, limitations, and appropriate applications of formal ontologies versus data dictionaries, vocabularies, and taxonomies. Interview/Application Experience with semantic web technologies (RDF(S), OWL, SPARQL, SHACL), standard conceptual modelling languages (e.g., UML or similar) and linked data formats (e.g. Turtle). Interview/Application Practical experience with ontology authoring ...

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 or Sparx, experience with graph databases, and ability to translate domain knowledge into formal models. #J-18808-Ljbffr ...

semantic web principles. Semantic Implementation & Graph Engineering Develop and maintain the software implementation of the Digital Thread using the Semantic Web stack (e.g., RDF, OWL, SPARQL). Build and optimise the graph databases and triple stores that house the engineering relationships and enrichments. Implement the logic that allows … commitment to software craftsmanship and clean code. Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies. ...

based on semantic web principles. Semantic Implementation & Graph EngineeringDevelop and maintain the software implementation of the Digital Thread using the Semantic Web stack (e.g., RDF, OWL, SPARQL).Build and optimise the graph databases and triple stores that house the engineering relationships and enrichments. Implement the logic that allows … commitment to software craftsmanship and clean code. Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies. ...