15 of 15 RDF Jobs in England

explain complex graph/AI concepts to non-technical audiences ✅ Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure More ❯

explain complex graph/AI concepts to non-technical audiences ✅ Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure More ❯

explain complex graph/AI concepts to non-technical audiences Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure More ❯

and cloud data ecosystems ( AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯

and cloud data ecosystems ( AWS, Azure, GCP ). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯

and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯

and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯

and cloud data ecosystems (AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger More ❯

with JSON, XML, or other structured data formats. Experience with rules engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in More ❯

/agents; enforce access controls, rate-limits, auditability. Embed evals & observability; ship via CI/CD. Must-have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud More ❯

/agents; enforce access controls, rate-limits, auditability. Embed evals & observability; ship via CI/CD. Must-have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud More ❯

/agents; enforce access controls, rate-limits, auditability. Embed evals & observability; ship via CI/CD. Must-have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud More ❯

/agents; enforce access controls, rate-limits, auditability. Embed evals & observability; ship via CI/CD. Must-have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud More ❯

/agents; enforce access controls, rate-limits, auditability. Embed evals & observability; ship via CI/CD. Must-have Shipped knowledge graphs in production (Neo4j/TigerGraph/Neptune or RDF/OWL; Cypher/SPARQL/GSQL ). Delivered GraphRAG with evidence it beats vector-only. Python + LangChain/LlamaIndex; vector stores (Pinecone/Chroma/LanceDB). Cloud More ❯

strategies for ingesting, modelling, processing, and persisting data. You are able to use one or more query languages (e.g. SQL, HiveQL, SPARQL), schema definition languages (e.g. DDL, SDL, XSD, RDF), and scripting languages (e.g. Perl, Python, KornShell, Scala) to build a data solution. More ❯