£600 Per day
Outside
Hybrid
London Area, United Kingdom
Summary: The Graph Data Engineer role involves working with a cutting-edge AI software company to design and scale complex knowledge graph systems for enterprise environments. The position requires expertise in Neo4j, Python, and graph algorithms, with a focus on building advanced graph-based reasoning infrastructure. This is a hybrid role based in London, requiring 2-3 days onsite per week. The contract is initially for 6 months with a high likelihood of extension, offering a competitive daily rate.
Key Responsibilities:
- Design and scale complex knowledge graph systems.
- Work with Neo4j, Python, and various graph algorithms.
- Optimize graph traversal and query performance.
- Ensure auditability and reasoning traceability in graph systems.
- Collaborate in a hybrid work environment, primarily based in London.
Key Skills:
- Experience with Neo4j and Python/FastAPI.
- Knowledge of graph algorithms and graph traversal optimization.
- Familiarity with graph construction and ingestion at scale.
- Understanding of knowledge graph architecture.
- Production-grade Python engineering skills.
Salary (Rate): £600/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Graph Data Engineer (Neo4j/Python/Graph Algorithms) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced graph-based reasoning infrastructure for enterprise environments across highly regulated sectors. They’re looking for a Graph Data Engineer to join on a subcontractor basis, helping design and scale complex knowledge graph systems powering next-generation AI/LLM workflows.
Tech Stack:
- Neo4j
- Python/FastAPI
- Graph Algorithms
- GraphRAG
- RDF/SPARQL
- NetworkX/GraphBLAS
- GCP/AWS
- DuckDB/FalkorDB
Key Experience:
- Large-scale graph construction & ingestion
- Graph traversal & query optimisation
- Knowledge graph architecture
- Graph algorithms (PageRank, Louvain, Centrality etc.)
- Auditability & reasoning traceability
- Production-grade Python engineering
- Complex enterprise data environments
Bonus Experience:
- KG embeddings / PyKEEN
- NER & relation extraction
- Datalog / recursive query semantics
- Regulated industries (Finance, Pharma, Defence)
Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–650/day Outside IR35 Great opportunity for an experienced Graph Engineer who enjoys solving complex data, performance, and reasoning challenges within cutting-edge AI environments.