1 to 25 of 39 Permanent Neo4j Jobs in the UK

e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization More ❯

plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management More ❯

pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and More ❯

we've worked on recently 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 backed by an ElasticSearch cluster. More ❯

design 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 ❯

Go), and experience with scripting for automation Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations A Bonus: Proficient in database management, specifically with Neo4j and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking More ❯

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. More ❯

of the following technologies but who is also open minded about learning new languages and tools: Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days leave (on top of your More ❯

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 ❯

and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable AI solutions in enterprise settings, preferably in life sciences. Excellent communication and interpersonal skills More ❯

Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply More ❯

Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply More ❯

Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j , Amazon Neptune , and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply More ❯

/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Some expereince of C# .Net Exposure to graph databases (e.g., Neo4j). Background in developing data-heavy or AI-enhanced applications. Why You’ll Love This Role: Collaborative Culture: The company fully believes in the power of teamwork and support More ❯

understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j) Background in developing data-heavy or AI-enhanced applications. Why You'll Love This Role: Collaborative Culture: The company fully believes in the power of teamwork and support each 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 ❯

to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand More ❯

maintain robust containerized applications with Docker and Kubernetes Implement and manage event-driven architectures using Kafka or similar technologies Work with a variety of database technologies, including Redis, Elasticsearch, Neo4j, and PostgreSQL Develop experience with product ownership in terms of UI/UX Skills and requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a … Docker Hands-on experience managing infrastructure in AWS, Azure, or GCP Strong understanding of event streaming and messaging queues such as Kafka Expertise in database systems including Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs using a backend framework (such as Django, FastAPI, Flask, or Express) Commercial experience in front-end development including at least one web development More ❯

of the following technologies but who is also open minded about learning new languages and technologies. Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J Robot, Cypress, Cucumber Framework creation Exploratory testing Benefits A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day More ❯

of the following technologies but who is also open minded about learning new languages and technologies. Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J Benefits A salary banding of £40-75k with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days More ❯

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 ❯

designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph-based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can More ❯

in Python, with experience in developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming e.g. Kafka Nvidia Triton Octopus Deploy Langsmith Elastic About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as 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 ❯

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 ❯