1 to 25 of 36 Neo4j Jobs in England

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along … with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by … and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering More ❯

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 ❯

experience as a Solution Architect or Data Architect in large-scale, enterprise environments.Rail industry experience or deep understanding of transportation infrastructure and operational data.Strong knowledge of graph databases (e.g., Neo4j, Amazon Neptune) and graph-based modelling for network analysis and relationship mapping.Understanding of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure.Solid experience with 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 ❯

control, and data masking. Support data migration and transitioning strategies, ensuring minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Application Architecture & Security Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and 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 ❯

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 ❯

Expertise in TypeScript and Node.js ; knowledge of Python is a plus. Experience working with SQL and/or NoSQL technologies like MySQL , MongoDB , and DynamoDB etc., graph databases like Neo4j is aplus. Solid understanding of cloud ecosystems : Azure , AWS , or GCP . Hands-on experience with Docker, Kubernetes , or othercontainerization technologies. Deep understanding of object-oriented programming principles andarchitectural 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 ❯

working with transformer-based models (e.g. GPT, LLaMA, Mistral). Interest in or familiarity with agentic AI frameworks and multi-agent systems . Some knowledge of graph databases (e.g. Neo4j, Neptune, TigerGraph) and GNN libraries (e.g. PyTorch Geometric, DGL). Comfortable working with Python in collaborative software engineering environments. Awareness of cloud tools (e.g. AWS, GCP, Azure ), MLOps practices More ❯

languages. Required Skills & Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience in data modeling and schema design. Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to More ❯

languages. Required Skills & Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience in data modeling and schema design. Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to 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 ❯

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 ❯

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 ❯

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 ❯

something you might not get the chance to again. Sound cliché? Well, it's not! Proficiency in TypeScript, Node, and Python, along with experience with graph databases such as Neo4j, is highly valued, with a strong focus on React for the frontend. But let's face it, it's not just about the tech; it's about who you More ❯

one ML framework (e.g. PyTorch, TensorFlow) Clear communicator, able to present work to technical and non-technical stakeholders Nice to have: Familiarity with tools like PyTorch-Geometric, PyKeen, or Neo4j Experience with SQL, Cypher, or other query languages Exposure to applying AI in public sector or defence domains An interest in collaborating on papers, prototypes or funded R&D More ❯

Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI Knowledge & Semantics Researcher Salary: £60,000 - £70,000 Additional Package: 10% Bonus & Extensive Benefits Package Location: Chelmsford Want to hear more More ❯

and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph databases such as Neo4j is highly desirable. Achieve together We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds and More ❯