in a variety of methods for querying, processing, persisting, analyzing and presenting data. Understands one or more schema definition languages (e.g. DDL, SDL, XSD, RDF). Has a good understanding of data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted More ❯
monitoring programs. BASIC QUALIFICATIONS - In-depth understanding of data and information architecture key components, tools, and frameworks - Deep expertise in semantic technologies, modelling languages (RDF, OWL, etc ), and querying languages (Cypher, SPARQL and other GQLs); - Strong background in graph databases, triple/quad stores; and a sound understanding of other More ❯
FHIR, Wearable sensor data. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools. Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems and architecture. Experience building More ❯
successful leading and mentoring teams in a large cross domain environment or through a transformational organizational change. Expertise in knowledge representation syntax (e.g., OWL, RDF, SKOS), query languages (e.g., SPARQL), and tools (e.g., Protégé, TopBraid, PoolParty). We'd love to see: Understanding of Data Governance and Data Management, supported More ❯
our project, which is an internal process automation system, partially related to IoT. Requirements: .Net 8 EF Core 8 Mediatr, FluentValidation Web API Graphs - RDF, SHACL, SPARQL queries unit tests (nUnit/xUnit) modular monolith for the core project (mediatr commands/events) and http/queue connection with side More ❯
our legislation services. The legislation data we curate and create is a valuable public asset, comprising document data in XML, graph-based data in RDF, and website usage data. The National Archives holds an increasing volume of rich metadata about legislation, including amendment and application data, bibliographic information as well More ❯
with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems … on Azure , ensuring scalability and reliability. Application Development: Build and maintain interactive AI applications using Streamlit . Knowledge Graphs & Semantic Technologies: Work with Neo4j, RDF, or OWL for knowledge representation and data modeling. CI/CD & MLOps: Implement CI/CD pipelines to automate model training, testing, and deployment. Collaboration … deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. Knowledge of Neo4j, RDF, OWL , and semantic data technologies. Experience with CI/CD pipelines and MLOps for AI model deployment. Strong problem-solving and analytical skills with a More ❯
with hands-on experience in generative AI, cloud deployment, and CI/CD pipelines . This role requires proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems … on Azure , ensuring scalability and reliability. Application Development: Build and maintain interactive AI applications using Streamlit . Knowledge Graphs & Semantic Technologies: Work with Neo4j, RDF, or OWL for knowledge representation and data modeling. CI/CD & MLOps: Implement CI/CD pipelines to automate model training, testing, and deployment. Collaboration … deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. Knowledge of Neo4j, RDF, OWL , and semantic data technologies. Experience with CI/CD pipelines and MLOps for AI model deployment. Strong problem-solving and analytical skills with a More ❯
