1 to 25 of 45 SPARQL Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...