1 to 25 of 33 Permanent RDF Jobs in England

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 ML models ...

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 ...

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 ...

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 ...

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 ...

responsible approaches to AI, automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB ...

responsible approaches to AI, automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB ...

case requires it. You have experience with a graph database or query language, or closely related semantic tooling. Familiarity with Cypher, SPARQL, RDF or property graphs is valuable; no single stack is required. You can work with analysts, product managers, data scientists and engineers to define an ambiguous problem, make ...

Relational and NoSQL (e.g., DynamoDB, PostgreSQL). - Observability/SRE: OpenTelemetry, distributed tracing, metrics/SLOs for data services. Bonus: - Semantic Technologies: Knowledge graphs, RDF/OWL, or property graphs — particularly relevant to the connected/semantic AECDM. - BIM Expertise: Building Information Modeling concepts, Revit families, or similar parametric modeling ...

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 ...

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 ...

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 ...

schemas, review queries, and discuss data modeling trade-offs with engineers Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements Excellent stakeholder management ...

willingness to learn the domain Experience with data cataloging, metadata governance, or data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding ...

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 ...

technical-leadership signals: conference talks, published papers or blog posts, significant open-source contributions, or patents in AI/agentic systems.Semantic and symbolic tooling (RDF/OWL, SHACL, Datalog, DMN, production rule engines, policy-as-code) as one of several tools in a broader agentic toolkit.Experience in high-accountability, regulated ...

depending on project requirements, across the UK and internationally. Preferred Skills Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL. Familiarity with feature store design and MLOps/DataOps pipeline integration. Experience with stream processing at scale using Apache Kafka or Apache Flink. … Dataflow, Kafka, Flink Governance, catalogue and lineage: Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage Graph, ontology and semantic technologies: Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL AI/ML data infrastructure: vector databases and search platforms such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores ...

across enterprise data, metadata and external sources, in collaboration with the Ontology Manager. You will help design ontologies, taxonomies, glossaries and knowledge graphs using RDF, OWL, SHACL and Linked Data practices. The role covers data wrangling, validation, SPARQL and graph operations, entity resolution and metadata governance, with cross‐functional collaboration. ...

Vespa (or equivalent large-scale information retrieval) experience. Experience building or operating MCP servers/tool‐serving infrastructure for LLMs. Familiarity with knowledge graphs, RDF/SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). Experience with large bare‐metal infrastructure or HPC environments. What We Offer We offer ...

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. ...

ideas are heard and your growth is championed. Work with a modern tech stack including Python, SQL, Shell scripting, Talend, XSLT, XML, CSV, JSON, RDF, RDBMS, NoSQL, and graph databases. You’ll help design and build scalable data pipelines, automate data processing, and develop tools for data enrichment and integration ...