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 ❯
LLMs and agentic AI systems. Solid grasp of data structures and handling for both structured (SQL, pandas) and unstructured (text, images, audio) data, including knowledge bases creation with Graph (Neo4j) and vector stores. Awareness of AI governance, and regulatory considerations, especially in financial services. Experience Proven track record in building, fine-tuning, and evaluating traditional ML, NLP and LLM 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 ❯
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 ❯
london (city of london), south east england, united kingdom
Tempest Vane Partners
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 ❯
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 ❯
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 ❯
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 ❯
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. More ❯
london (city of london), south east england, united kingdom
La Fosse
scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. 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 ❯
City of London, London, United Kingdom Hybrid / WFH 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 ❯
junior engineers, contribute to propositions, and support POCs &##128203; 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 ❯
