2 of 2 RDF Jobs in the City of London

construction industry. As a corporate member of the World Wide Web Consortium — W3C, Depixen develops Linked Data architectures, domain-specific taxonomies, ontologies, RDF-based data structures, and knowledge graph infrastructures for construction, architecture, and building products. We work with fragmented and highly contextual industry data: product catalogues, technical documents, standards … structured, semi-structured, unstructured, and graph-connected data. Build entity extraction, entity resolution, deduplication, and similarity-matching workflows. Connect AI outputs with taxonomy, ontology, RDF, and knowledge graph layers. Design evaluation, benchmarking, validation, and error-analysis processes. Improve data quality, consistency, explainability, provenance, and semantic alignment. Collaborate with engineering, product ...

industry. As a corporate member of the World Wide Web Consortium — W3C , Depixen develops W3C-compliant Linked Data architectures , domain-specific ontologies , taxonomy models , RDF-based data structures , and knowledge graph infrastructures for the construction sector. Through its AI projects with respected universities and institutions in the United Kingdom, Depixen … machine-interpretable data models. This is not a conventional image recognition role. You will help connect visual AI outputs with verified data, taxonomy, ontology, RDF, and knowledge graph layers, turning perception into reliable decision intelligence for the construction industry. We are seeking a talented Computer Vision Engineer to design, develop ...