4 of 4 Neo4j Jobs in London

will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. Application: I appreciate discretion is key and am happy to receive ...

Title: Neo4j Developer/Graph Database Specialist Location: Onsite - London or Edinburgh, UK Job Type: Full-time About the Role: We are seeking an experienced Neo4j Developer with strong expertise in graph databases and hierarchical data modelling to join our dynamic team onsite in London or Edinburgh. … graph database solutions to support complex data relationships and hierarchies in our business applications. Key Responsibilities: Design, develop, and maintain graph database solutions using Neo4j to model complex hierarchical and relational data. Collaborate with data architects and business analysts to translate business requirements into graph models. Develop Cypher queries ...

workflows and product features · Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability · Integrate and scale vector search, knowledge graphs (Neo4j), and associated retrieval pipelines into production services · Deploy and operate GPU-backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production … ownership mindset: you care deeply about reliability, correctness, and outcomes Strong Plus · Experience with LangGraph, RAG pipelines, vector databases, or knowledge graphs · Familiarity with Neo4j or graph-based data modelling · Experience working on AI-native or agentic systems · Comfort working in early-stage startups with ambiguity and speed · Experience ...

including product, engineering, and business stakeholders to understand data requirements and deliver impactful solutions. Implement and optimise graph databases and graph processing frameworks (e.g., Neo4j). Develop predictive models using machine learning techniques tailored for graph-structured data (e.g., node classification, link prediction, community detection). Perform data … need: Demonstrable professional experience in data science, with a strong focus on graph analytics. Proficiency in graph analytics tools and libraries such as Neo4j, NetworkX, GraphX, or similar. Strong programming skills in Python & PySpark, with experience in relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Expertise ...