1 to 25 of 40 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 ❯

You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯

You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯

microservices architectures. Proficiency in modern JavaScript/TypeScript and at least one major frontend framework (React, Vue.js, or Angular). Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems 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 ❯

roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience 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 ❯

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 ❯

Experience with scientific, semi-structured, or biodiversity data. Familiarity with semantic web standards (e.g. Darwin Core, JSON-LD, Linked Data). Knowledge of NoSQL/graph databases (e.g. MongoDB, Neo4j, Neptune) a plus. Hands-on with cloud-native architectures, especially AWS. Understanding of data versioning, provenance, and governance. Robert Walters Operations Limited is an employment business and employment agency More ❯

Experience with scientific, semi-structured, or biodiversity data. Familiarity with semantic web standards (e.g. Darwin Core, JSON-LD, Linked Data). Knowledge of NoSQL/graph databases (e.g. MongoDB, Neo4j, Neptune) a plus. Hands-on with cloud-native architectures, especially AWS. Understanding of data versioning, provenance, and governance. Robert Walters Operations Limited is an employment business and employment agency 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 ❯

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 ❯

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 ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative More ❯

. Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). This position offers a lucrative 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 ❯

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 ❯

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 ❯

package management. Knowledge of Alembic, OpenColorIO, USD (Universal Scene Description) and other open standards from the ASWF. Experience with web frameworks (e.g., Flask, FastAPI, Django) and database systems (PostgreSQL, Neo4j, Redis). Experience with performance profiling, system monitoring, and observability tools. Understanding of network protocols, security best practices, and compliance requirements. Open-source contributions or technical writing experience. Entrepreneurial More ❯

In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models , causal inference , and AI reasoning approaches. Hands-on experience with cloud platforms (AWS, GCP More ❯