5 of 5 Remote/Hybrid Neo4j Jobs in the UK excluding London

that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system ...

audiences. Beneficial Skills & Qualifications Experience with Llama Index for data ingestion and ETL workflows within Python‐based environments. Familiarity with graph databases such as Neo4j or equivalent, and experience applying graph‐based approaches to data modelling. Exposure to GraphRAG techniques for enhancing retrieval and reasoning within knowledge‐graph‐powered ...

some things we’ve worked on recently that give a sense of the work we do: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed ...

microservices. Demonstrate a keen interest in improving your craft by using AI. Serious bonus points if you have: Exposure to ElasticSearch, Event Store, Neo4j, InfluxDB, Seq, PowerBI. Experience with micro‐ORMs such as PetaPoco. Contributions to open‐source projects or personal coding projects. Cloud infrastructure experience, especially Azure. Strong ...

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 ...