10 of 10 Permanent RDF Jobs in the UK excluding London

critical code, troubleshooting, and complex customer or stakeholder demonstrations. Mandatory Hands-on Technical Skills • Knowledge graphs: Ontology and semantic model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. • Graph platforms: Deep implementation experience with Neo4j and Cypher; working knowledge ...

critical code, troubleshooting, and complex customer or stakeholder demonstrations. Mandatory Hands-on Technical Skills Knowledge graphs: Ontology and semantic model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience with Neo4j and Cypher ; working knowledge ...

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 ...

graph and ontology specifications. Define entities, relationships, attributes, constraints, classifications, and semantic rules. Develop graph data models using appropriate standards and technologies, such as: RDF and RDF-star OWL and SKOS SHACL SPARQL Property-graph models and Cypher Build data-mapping and ingestion processes from relational databases, APIs, documents … modelling, knowledge representation, or a closely related discipline. Strong understanding of data modelling principles and information architecture. Practical experience with one or more of: RDF, OWL, SKOS, SHACL, SPARQL Neo4j, Amazon Neptune, Stardog, GraphDB, AllegroGraph, or similar graph platforms Cypher or other graph-query languages Experience with data integration ...

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). Nice ...

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/ ...

experience. Proven track record delivering semantic layers, ontologies, and knowledge graphs into production environments. Strong understanding of semantic web technologies and knowledge representation (e.g. RDF, OWL, SPARQL, Cypher) and experience with graph databases such as Neo4j or GraphDB. Solid programming skills in Python (or similar) for data integration, pipeline development ...

multi-agent architectures, with the judgement to know where they fail. Deep, hands-on expertise in knowledge graphs and semantic modelling: ontology design (RDF/OWL/SKOS or property-graph equivalents), taxonomy and controlled-vocabulary design, entity resolution, schema evolution and versioning, embeddings, vector databases and grounding strategies. Evaluation ...

matching with clear supporting evidence. This role is open to both senior and mid-level engineers with relevant practical experience. Key Responsibilities Develop RDF models and ontology modules for candidate and vacancy data, including skills, qualifications, and employment history. Preserve source evidence, record changes, and represent conflicting information within … maintenance. Requirements Professional software or data engineering experience, with a track record of delivering tested components within a team. Hands-on experience implementing an RDF knowledge graph and designing or extending an ontology in a working system, including SPARQL queries, defining classes and relationships, modelling taxonomies, and applying SHACL constraints. ...

SaaS platform. The role supports extraction, entity resolution, and semantic search, with a focus on data provenance and evidence-backed matches. You will implement RDF models, SHACL constraints, and Python-based services using FastAPI, ensuring data quality, privacy, and scalable processing. #J-18808-Ljbffr ...