11 of 11 Cypher Jobs in the UK

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation ...

About Neo4j Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. About Neo4j Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready ...

model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience with Neo4j and Cypher; working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph, Azure Cosmos DB Gremlin, ArangoDB, or JanusGraph. Graph data … science: Neo4j Graph Data Science, NetworkX, PyTorch Geometric or DGL; graph embeddings, pathfinding, similarity, clustering, link prediction, node classification, anomaly detection, and GNN development. Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. ...

graph databases, data modelling, entities and relationships . This is a hands-on engineering role suited to someone with strong commercial experience in Neo4j, Cypher, AWS and Python , alongside a proven ability to build robust, scalable data pipelines and deliver effective data integration and transformation solutions. Key Skills … Responsibilities Graph Data Engineering Strong commercial experience working with Neo4j . Advanced proficiency in Cypher , including query development and optimisation. Strong understanding of graph data modelling, including entities, relationships and connected data structures. Experience designing and implementing ETL/ELT pipelines for graph databases. Ability to develop scalable ...

model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience with Neo4j and Cypher ; working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph , Azure Cosmos DB Gremlin, ArangoDB , or JanusGraph . Graph … data science: Neo4j Graph Data Science, NetworkX , PyTorch Geometric or DGL; graph embeddings, pathfinding, similarity, clustering, link prediction, node classification, anomaly detection, and GNN development. Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance ...

model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution. Graph platforms: Deep implementation experience with Neo4j and Cypher ; working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph , Azure Cosmos DB Gremlin, ArangoDB , or JanusGraph . Graph … data science: Neo4j Graph Data Science, NetworkX , PyTorch Geometric or DGL; graph embeddings, pathfinding, similarity, clustering, link prediction, node classification, anomaly detection, and GNN development. Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance ...

fully remote role requires active SC clearance and offers a 6-month contract with a day rate up to £450. You will work with Neo4j, Cypher, AWS, Python and Spark to design, develop and maintain scalable graph data solutions and robust ETL/ELT pipelines for complex relationships. #J ...

peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling Familiarity with vector search, embeddings, or retrieval-augmented generation (RAG) patterns Exposure to large language model serving ...

production environments. Strong understanding of semantic web technologies and knowledge representation (e.g. RDF, OWL, SPARQL, Cypher) and experience with graph databases such as Neo4j or GraphDB. Solid programming skills in Python (or similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/ ...

financial structures into maintainable graph models and data pipelines. Fractional Lead Graph Engineer Key Responsibilities: - Design and develop a scalable graph database architecture using Neo4j Enterprise - Create graph schemas that represent financial structures, tax rules, organisational hierarchies and operational relationships - Build streaming data pipelines that ingest and connect structured transactional … Engineer You: - Significant commercial experience designing and scaling enterprise graph databases, distributed data systems or high-volume event-driven backends - Strong production experience with Neo4j and graph query languages such as Cypher or Gremlin - Deep understanding of graph modelling, distributed systems, data architecture and performance optimisation - Experience with streaming ...

customers Graph Database Expertise (Core): Deep expertise in graph technologies is essential, alongside practical experience with the Cypher query language and preferably Neo4j Deployment: Demonstrated understanding of Infrastructure as Code (IaC) principles and the core Terraform workflow (init, plan, apply) with the ability to maintain and update existing configurations ...