23 of 23 RDF Jobs in 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

experience with dbt Labs Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ontology design Experience with at least one agentic AI framework GitHub Copilot or equivalent AI coding assistant experience in a professional setting … 2.1 alongside Kimball/Star-schema modelling Data mesh, data product ownership and federated governance Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ontologies Published thought leadership or community contributions in data or AI Work Authorization Applicants must have the right ...

reusable semantic assets.Maintain supporting datasets used in ontology, taxonomy and glossary development activities.Semantic Asset Delivery & Knowledge Graph Enablement (40%)Semantic Modelling SupportDevelop and maintain RDF, SKOS, OWL, Turtle and JSON-LD representations of approved semantic models.Create mappings between business concepts, source data and semantic representations.Support ontology, taxonomy and controlled vocabulary … discovery activities.Contribute to semantic standards, documentation and best practices.Skills and ExperienceEssentialExperience working with ontologies, taxonomies, controlled vocabularies, metadata or knowledge graph solutions.Strong understanding of RDF, RDFS, SKOS, OWL, SHACL and Linked Data principles.Experience writing and optimising SQL and SPARQL queries.Experience using Python for data wrangling, transformation, automation and semantic processing.Experience ...

Maintain supporting datasets used in ontology, taxonomy and glossary development activities. Semantic Asset Delivery & Knowledge Graph Enablement (40%) Semantic Modelling Support Develop and maintain RDF, SKOS, OWL, Turtle and JSON-LD representations of approved semantic models. Create mappings between business concepts, source data and semantic representations. Support ontology, taxonomy … standards, documentation and best practices. Skills and Experience Essential Experience working with ontologies, taxonomies, controlled vocabularies, metadata or knowledge graph solutions. Strong understanding of RDF, RDFS, SKOS, OWL, SHACL and Linked Data principles. Experience writing and optimising SQL and SPARQL queries. Experience using Python for data wrangling, transformation, automation ...

discovery of the nation's documentary heritage. You will work with a modern stack including Python, SQL, Shell scripting, Talend, XSLT, XML, CSV, JSON, RDF, and NoSQL databases to design scalable pipelines and automate data processing. #J-18808-Ljbffr ...

legislation services. The legislation data we curate and create is a valuable public asset, comprising document data in XML, graph-based data in RDF, and website usage data. The National Archives holds an increasing volume of rich metadata about legislation, including amendment and application data, bibliographic information as well ...

provenance information.Conduct quality reviews, impact assessments and change management activities.Monitor adoption and compliance with semantic standards.Standards & Best PracticeApply and promote semantic standards including OWL, RDF, SKOS and SHACL.Contribute to modelling standards, governance frameworks and best practices.Support semantic governance platforms and associated workflows.Develop guidance, documentation and training materials.Stakeholder EngagementAct … governed semantic assets.Skills and ExperienceEssentialExperience developing and managing ontologies, taxonomies, thesauri, controlled vocabularies or business glossaries.Strong understanding of semantic technologies and standards, including OWL, RDF, SKOS and SHACL.Experience operating governance, stewardship or metadata management processes.Strong stakeholder engagement, facilitation and requirements gathering skills.Experience conducting workshops and working with business subject matter ...

reviews, impact assessments and change management activities. Monitor adoption and compliance with semantic standards. Standards & Best Practice Apply and promote semantic standards including OWL, RDF, SKOS and SHACL. Contribute to modelling standards, governance frameworks and best practices. Support semantic governance platforms and associated workflows. Develop guidance, documentation and training materials. … Experience Essential Experience developing and managing ontologies, taxonomies, thesauri, controlled vocabularies or business glossaries. Strong understanding of semantic technologies and standards, including OWL, RDF, SKOS and SHACL. Experience operating governance, stewardship or metadata management processes. Strong stakeholder engagement, facilitation and requirements gathering skills. Experience conducting workshops and working with business ...