11 of 11 RDF Jobs in England

pros and cons to make informed design and code decisions. Database Management Work with relational databases (RDBMS) and the graph database RDFox Write and optimize complex SQL queries Use RDF models and SPARQL queries from the graph database along with our Ontology expert DevOps and CI/CD Participate in the CI/CD pipeline using GitLab Utilize tools to More ❯

cloud), understanding their pros and cons for informed decision-making Database Management Work with relational databases (RDBMS) and the graph database RDFox Write and optimize complex SQL queries Use RDF models and SPARQL queries from the graph database in collaboration with our Ontology expert DevOps and CI/CD Participate in the CI/CD pipeline using GitLab Utilize tools More ❯

pros/cons to make informed design and code decisions. Database Management Work with relational databases (RDBMS) and the graph database RDFox. Write and optimize complex SQL queries. Use RDF models and SPARQL queries from the graph database in collaboration with our Ontology expert. DevOps and CI/CD Participate in CI/CD pipeline using GitLab. Containerize applications using More ❯

sources Familiarity with Hume or similar graph intelligence platforms is a plus Comfortable working in agile and data-driven teams Desirable: Exposure to linked data or semantic web technologies (RDF, SPARQL) Background in intelligence, law enforcement, government, or fraud analytics Experience working on sensitive or classified data projects Additional Details: Inside IR35 Initial 6-month contract with potential extension Start More ❯

e.g. corporate bonds) - or a 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 of data governance frameworks or More ❯

and experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL 3. Proven experience with predictive and generative AI 4. Practical experience in using large language models, generative AI techniques, prompt engineering 5. Proven record of A/A More ❯

service delivery Experience with technologies deployed on-premise or cloud-based either as Software-as-a-Service (SaaS) or hosted Ideally hands-on knowledge of graph technologies such as RDF, LPG and ontologies (OWL). Experience with SPARQL a bonus Familiarity with Large Language Models, and leveraging LLMs in a corporate environment to drive business value Experience selling to or More ❯

strategy, process re-engineering (Six Sigma, Agile, Lean, etc.) and other transformation capabilities. â?¢ Knowledge of the theoretical principles of taxonomy architecture and taxonomy and ontology standards (e.g., OWL, RDF, and SKOS) â?¢ Strategic, commercial, and operational dexterity, analytical and flexible thinking style â?¢ Effective communicator, driving accountability and strong listening skills and ability to influence key stakeholders. Education: â More ❯

Minimum of 3 years experience successful leading and mentoring teams in a large cross domain environment or through a transformational organizational change. Expertise in knowledge representation syntax (e.g., OWL, RDF, SKOS), query languages (e.g., SPARQL), and tools (e.g., Protégé, TopBraid, PoolParty). We'd love to see: Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA More ❯

and/or XML Experience with data modelling tools e.g. Sparx Enterprise Architect, Erwin modelling software, Power designer, Visual Paradigm or similar Experience with curating ontologies and experience with RDF/OWL/TTL is highly preferred. Data at Capco Capco’s global Data Practice of + practitioners are an established team of data strategists, analysts, scientists, architects, and engineers More ❯

is at the heart of our 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 as exhaust data from our More ❯