Knowledge Graph Engineer

WPP
Copenhagen
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","Documentation"]

Design and scale enterprise knowledge graph systems used for marketing intelligence and the WPP Open AI platform. Translate product and business requirements into graph-based data solutions, extend schemas, and ensure data consistency across applications. Build graph-based ML capabilities (node embeddings, link prediction, GNNs) and integrate knowledge graphs with AI/LLM applications for semantic search, entity resolution, and recommendations, while developing high-performance graph-powered APIs and production-grade systems.

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FursaFursa
WPP
WPP
12 hours ago

Knowledge Graph Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and scale enterprise knowledge graph systems used for marketing intelligence and the WPP Open AI platform. Translate product and business requirements into graph-based data solutions, extend schemas, and ensure data consistency across applications. Build graph-based ML capabilities (node embeddings, link prediction, GNNs) and integrate knowledge graphs with AI/LLM applications for semantic search, entity resolution, and recommendations, while developing high-performance graph-powered APIs and production-grade systems.
Location: Copenhagen
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Use the existing knowledge graph effectively with development teams and support solution design and usage guidelines.
  • •Translate product and business requirements into graph-based data solutions, extending schemas when needed.
  • •Ensure data consistency and correct usage patterns across applications and systems.
  • •Develop graph-based ML models (node embeddings, link prediction, GNNs) and integrate knowledge graphs with AI/LLM-driven applications.
  • •Build and maintain high-performance APIs for graph-powered services and optimize processing and querying of large datasets.

Key Requirements

  • •Experience working with knowledge graphs in production environments.
  • •Knowledge of data modelling concepts and entity relationships, even if not designing from scratch.
  • •Hands-on experience querying graph databases and using graph query languages such as Cypher or SPARQL.
  • •Familiarity with semantic data concepts such as RDF/OWL at a practical level.
  • •Hands-on experience integrating and optimizing graph databases (e.g., Neo4j, Amazon Neptune) and using APIs across systems.
Experience:AdTechAIData platforms
Skills:CollaborationProblem-solvingDocumentation
Languages:English
Tech Stack:Knowledge GraphCypherSPARQLRDF/OWLNeo4jAmazon NeptuneGNNsNode embeddingsLink predictionLLMAPIsSemantic searchEntity resolutionRecommendation systemsNLP

Company Brief

WPP
Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1971
WebsiteLinkedIn