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 ❯
or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong verbal and written communication skills. NICE TO HAVE: Experience working with or data modeling for graph databases like Neo4J, Neptune, etc. API experience using FastAPI, Flask, Spring Boot or equivalent. Understanding of elasticsearch data and query modeling is a big plus. Interests or experience in Geopolitics, Sanction Compliance More ❯
years focused on backend AI systems. Strong Python skills and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding of data modelling and integration. Experience building APIs (REST, gRPC) and working with containerised environments More ❯
Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort working in cloud-based environments (AWS More ❯
Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort working in cloud-based environments (AWS More ❯
security clearance. Technical Proficiency: Proficient in Python, including SDKs, APIs, and data engineering best practices. Solid understanding of the Software Development Lifecycle (SDLC). Experience with graph databases (e.g., Neo4j, ArangoDB, GraphDB). Familiarity with at least two of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases. Education & Communication: Bachelor's degree in Computer Science, Information Technology, or equivalent More ❯
Mistral via vLLM/TGI/Ollama). Proficient with Front end Frameworks such as Angular, for integration of AI-powered applications Experience with graph databases and knowledge graphs (Neo4j) for knowledge graphs and tool routing. Cloud deployment & MLOps Production deployments on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). More ❯
in learning new technologies. You 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. More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Intelix.AI
Mentor junior engineers, contribute to propositions, and support POCs 📋 Must-Have Skills & Experience 5+ years in engineering, data, or AI roles Deep experience with at least one graph technology: Neo4j, TigerGraph, ArangoDB, OrientDB, or Stardog Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or … LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure to cutting-edge hybrid AI/KG architectures Autonomy, ownership, and fast learning Competitive compensation + meaningful equity or bonus scheme More ❯
Mentor junior engineers, contribute to propositions, and support POCs 📋 Must-Have Skills & Experience 5+ years in engineering, data, or AI roles Deep experience with at least one graph technology: Neo4j, TigerGraph, ArangoDB, OrientDB, or Stardog Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or … LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure to cutting-edge hybrid AI/KG architectures Autonomy, ownership, and fast learning Competitive compensation + meaningful equity or bonus scheme More ❯
