and implement labelled property graphs, write Cypher queries, and ideally have experience with Hume for graph visualisation and analysis. Key Responsibilities: Design and implement graph data models using Neo4j Build pipelines to transform and enrich structured and unstructured data into graph schemas Write complex Cypher queries to support analysis and visualisations Collaborate with analysts, data scientists, and engineers … use cases Support data ingestion, integration, and transformation workflows Contribute to building visual graph dashboards and workflows, especially if familiar with Hume Requirements: Active SC clearance Strong experience with Neo4j and Cypher Experience with labelled property graphs Solid understanding of graph data modelling and data transformation Experience integrating data from multiple sources Familiarity with Hume or similar graph intelligence More ❯
use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how More ❯
applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. … TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j). Security Clearance Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due More ❯
graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Why BAE Systems? This is a More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC More ❯
contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply? Work on high-impact, real-world AI research projects More ❯
Chelmsford, England, United Kingdom Hybrid / WFH Options
Anson McCade
R&D funding (e.g. Dstl, EPSRC) • Excellent communication skills with ability to engage technical and non-technical stakeholders Desirable Skills • Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher • Familiarity with knowledge representation, ontology design, or neuro-symbolic AI • Prior delivery of LLM-based research projects or integration into operational systems The Package • Up to More ❯
