10 of 10 Permanent Neo4j Jobs in the UK

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 ❯

on emerging technologies and support the roadmap for next-generation defence data solutions . Skills and experience: Strong knowledge of SQL (MS SQL, Oracle) and noSQL databases (e.g., MongoDB, Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop More ❯

complex ideas to technical and non-technical audien **ces. Desired Skills & Attri** butesProven track record in developing or deplo ying computational retrosynthesis t ools.Experience with database systems: graph databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (Mong oDB).Familiarity with high-performance computing (HPC) environments and large-scale data pipel ines.Experience in deploying and scaling AI/ML-driven More ❯

table as we explore new tools and technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative More ❯

have the opportunity to work with a modern and varied tech stack, including: Backend: Java, Python Frontend: TypeScript, React, Angular, Vue Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes Data: Elasticsearch, Neo4J About You (The Ideal Candidate): A technically curious and adaptable software engineer with experience across modern technology stacks. Proven experience in software engineering; background in secure or regulated environments More ❯

you'll select the best tools for each task rather than sticking to a single language. Currently, the environment is TypeScript, React on the frontend, Nest for the backend, Neo4j, and cutting-edge Machine Learning algorithms; the forefront of modern software development. This is a true startup environment where your voice matters, everyone is in the room together, making More ❯

Stevenage As a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they More ❯

Stevenage As a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they More ❯

Bolton As a data engineer specialising in generative AI ; this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they More ❯

Role: Data Architect (Clinical Intelligence, SPARQL, Python, Neo4j) Location: London, UK Job Type: Contract (4 Months) Job Description: Clinical Knowledge Graph (Clinical Intelligence) Engagement: Health Informatics/Clinical Decision Support Systems About the. We are seeking a highly experienced and autonomous Senior Technical Consultant to support ongoing development and continuous improvement of its clinical knowledge graph platform. This role … languages. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python programming languages. Strong understanding of graph databases (e.g., RDF, Neo4j , GraphDB). Experience with data modeling and schema design. Knowledge of data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to More ❯