5 of 5 Permanent JSON-LD Jobs in England

automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic ...

collaborate with data engineers, architects, and an ontologist to ensure scalable, reliable AI-enabled data products. This role focuses on production-grade JSON-LD semantics, vector embedding, RAG, and graph databases, with cloud-native platforms and DataOps practices. #J-18808-Ljbffr ...

Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next-generation data products. In this hands-on role … embedding pipelines (e.g., Pinecone, Weaviate, Qdrant, pgvector). Practical experience implementing RAG architectures or LLM-integrated data pipelines. Familiarity with semantic web standards—JSON-LD, RDF, OWL, or SKOS. Strong Python skills and experience with data pipeline frameworks. Experience with cloud-native data platforms (AWS, Azure ...

Platform is a strategic initiative at the heart of that mission: a modern, cloud-native semantic layer built from the ground up—using JSON-LD as its semantic language—to power AI-driven insights, regulatory analytics, and next-generation data products. In this hands-on role … embedding pipelines (e.g., Pinecone, Weaviate, Qdrant, pgvector). Practical experience implementing RAG architectures or LLM-integrated data pipelines. Familiarity with semantic web standards—JSON-LD, RDF, OWL, or SKOS. Strong Python skills and experience with data pipeline frameworks. Experience with cloud-native data platforms (AWS, Azure ...

part of a new team being created to enable future data capabilities in relation to our AI ambitions.... Responsibilities: Semantic Layer ImplementationImplement JSON-LD-based semantic models designed by the ontologist into production data systemsBuild and maintain knowledge graph structures that reflect canonical domain models • Develop and manage … databases and embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector)Practical experience implementing RAG architectures or LLM-integrated data pipelinesFamiliarity with semantic web standards — JSON-LD, RDF, OWL, or SKOSStrong Python skills and experience with data pipeline frameworksExperience with cloud-native data platforms (AWS, Azure, or GCP)Exposure ...