willingness to learn the domain Experience with data cataloging, metadata governance, or data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding More ❯
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 ❯
