1 to 25 of 27 Permanent SPARQL Jobs in the UK

experience with:* OWL (Web Ontology Language)* RDF (Resource Description Framework)* SKOS (Simple Knowledge Organization System)* SHACL (Shapes Constraint Language)* Semantic Web standards and technologies* SPARQL, Linked DataExperience developing, managing, and governing:* Controlled Vocabularies* Taxonomies* Business Glossaries* Semantic StandardsKnowledge and Domain Expertise Strong understanding of:* Semantic Interoperability* Metadata Management* Ontology Lifecycle ...

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 + ...

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 + ...

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 (functional ...

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 + ...

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 ML models ...

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 Financial ...

toolset)Proven experience with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least one agentic AI frameworkGitHub Copilot or equivalent AI coding assistant experience in a professional settingFinancial services background preferred ...

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, and automation. ...

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, and automation. ...

Experience designing architectures for unstructured data, knowledge graphs, semantic models, metadata frameworks, taxonomies, ontologies, or enterprise search solutions using technologies such as RDF, OWL, SPARQL, or similar. Understanding of AI technologies, including large language models, vector databases, semantic search and Retrieval-Augmented Generation (RAG). Strong Python and SQL skills ...

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 tools and workflows (e.g. ...

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 tools ...

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 ...

EDUCATIONBachelor's degree or equivalentBASIC (REQUIRED) QUALIFICATIONBachelor'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 curationProven experience in designing and developing KG solutions and graph-based ML models (functional ...

modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture ...

explain model behaviour and its limits to non-specialists without overstating certainty. Comfortable working independently within a multidisciplinary team. Desirable Experience Experience with SPARQL, RDF, or property graph query optimisation at scale. Experience fine-tuning or distilling models for a narrow production task. Familiarity with information extraction from scanned ...

Natural Language Processing Experience in accessing and exposing data through Rest APIs, e.g. through application of FastAPI, OpenAPI etc. Experience in RDF, OWL, SPARQL Experience with graph databases (e.g. GraphDB, Neo4J) Knowledge of existing ontologies such as Schema.org, PROV-O, QUDT, SOSA/SSN Personal Proven ability to work ...

configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability. Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints … technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.Data Modelling & Integration Skills: A solid ...

configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability. Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints … semantic web technologies and standardsspecifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data. Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting. Data Modelling & Integration ...

validation rules, support data quality, and collaborate with AI teams to integrate semantic structures into intelligent applications. Responsibilities include ontology design, knowledge graph development, SPARQL querying, SHACL/OWL validation, and enterprise integration. #J-18808-Ljbffr ...

systems, enabling their transformation into a modern digital ecosystem. Evaluate existing infrastructure and recommend architectural improvements, protocols, and communication standards (e.g., REST, MQTT, GraphQL, SPARQL). Write clean, maintainable, and scalable software solutions to support integration projects, transitioning proof-of-concept scripts into robust backend services, including management of open … sectors, or familiarity with industrial communication protocols (MQTT, OPC-UA). Desirable Desirable Interview/Application Familiarity with semantic web technologies (RDF, SPARQL), linked data principles, or large language model (LLM) APIs and agentic frameworks for automated data integration. Further Information Grade 7 Salary £38,784 - £47,289 per annum. ...

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 for the "enrichment" of data … 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. Distributed Systems ...

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 for the "enrichment" of data … 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.Distributed Systems Knowledge ...