9 of 9 Permanent SPARQL Jobs in the UK

strong Data Engineering principles. Ideally, you’ve led a team or department with significant exposure to Palantir. Candidates with Graph Technologies (e.g., RDF), OWL, SPARQL) are also welcome, though Palantir expertise is preferred. Cloud & Integration. Familiarity with AWS, Azure, or GCP, and data integration tooling such as Airflow, Kafka ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...

Properties) ● Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. ● Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ● AI/LLM Familiarity: Understanding of how Generative AI works, common failure modes (hallucinations), and the importance of ground ...