101 to 125 of 134 Ontologies Jobs

define what staying at the forefront means for the practice; drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value … degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience ...

will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will collaborate … experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations/graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools ...

model. We will decide which with you, based on where your strengths land.**What you will own*** The knowledge graph in production: implementing the ontology and schema, entity resolution, and the pipelines that build and refresh the graph from client estates* Graph retrieval as a first-class capability: traversal patterns … will need*** Production data engineering: Python, SQL, and a pipeline orchestration framework, running systems that other people depend on* Graph engineering depth: schema and ontology modelling, a production graph database (Neo4j or comparable), and fluency in a graph query language* Entity resolution at real-world quality: matching people, organisations, policies ...

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite's technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real impact for customers and researchers? About our Team SciBite is developing cutting-edge … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite’s technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

enterprise agentic AI use cases. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise … operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward ...

enterprise agentic AI use cases. About Intelligence Center X Intelligence Center X (ICX) is Siemens' industrial AI platform. ICX combines Siemens' own core graph, ontology, machine learning and agentic AI technology with our industrial software foundations to bring truly differentiated capabilities to market. It connects a company's enterprise … operational data into an enterprise ontology, and uses machine learning and agentic AI to reason over it and act on it. Our customers are leaders in automotive, aerospace and defense, semiconductors and electronics, industrial machinery, pharma and financial services. How we engage with customers Beyond typical demos, we work forward ...

Graph Database Expert/Architect - Neo4j (Azure) *Role:* Design and own the enterprise Neo4j graph platform on Azure, including ontology, retrieval, operations, and cost governance. *Key responsibilities:* - Design graph ontology, domain model, node/relationship schema, constraints, and data-quality rules in Neo4j. - Build Cypher-based retrieval, multi-hop traversal … Entra ID. - Optimize Azure compute, storage, networking, licensing, and query costs; provide deployment and FinOps recommendations. *Must-have skills:* Neo4j, Cypher, graph modelling/ontology, Graph Data Science, vector search, multi-hop querying, Python, Azure data/AI services, performance tuning, and Azure cost optimization. *Nice-to-have:* GraphRAG ...

Graph Database Expert & Architect - Neo4j (Azure) *Role:* Design and own the enterprise Neo4j graph platform on Azure, including ontology, retrieval, operations, and cost governance. *Key responsibilities:* - Design graph ontology, domain model, node/relationship schema, constraints, and data-quality rules in Neo4j. - Build Cypher-based retrieval, multi-hop traversal, path … Entra ID. - Optimize Azure compute, storage, networking, licensing, and query costs; provide deployment and FinOps recommendations. *Must-have skills:* Neo4j, Cypher, graph modelling/ontology, Graph Data Science, vector search, multi-hop querying, Python, Azure data/AI services, performance tuning, and Azure cost optimization. *Nice-to-have:* GraphRAG ...

ability to read schemas, review queries, and discuss data modeling trade-offs with engineers Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements … transparent backlog with clear value hypotheses, success metrics, and prioritization rationale Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points Own the product roadmap for the Knowledge Graph platform, run agile ceremonies ...

Finance RP is seeking a Finance Data Engineer to design and maintain the finance ontology, data contracts and retrieval-ready data services. You will integrate ERP and EPM data into governed data products, enabling AI, analytics and decision intelligence with secure, auditable data pipelines. The role requires 10+ years ...

into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research Integration Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs … Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau ...

with AI, automation, and product innovation across the portfolio.**How you will make an impact:*** Define and own the canonical telco data model and ontology across network topology, service lifecycle, inventory, assurance, and OSS domains* Align data models with industry standards including TM Forum Open APIs, SID/eTOM, Open … Digital Architecture, YANG/NETCONF, and TOSCA* Drive adoption of ontology models across product teams as the semantic foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture ...

Graph Engineer, you will design and build the platform's knowledge representation and the AI capabilities that sit on top of it. This includes ontology and schema design, entity resolution, retrieval, evaluation, and ensuring robust production behaviour of AI-assisted features. Applicants must have delivered AI features into production … measured their impact, not only prototyped them. Main Responsibilities Knowledge Graph Design Design ontology and schema: entities, relationships, attributes, and the rules that constrain them. Model provenance so every assertion can be traced to its source document, extraction run, and confidence. Plan schema evolution and migration, keeping historical data queryable ...

layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work … Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization. Design and implement the enterprise semantic layer that enables trusted AI, consistent ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

Graph Database Architect to design and own an enterprise Neo4j platform hosted on Microsoft Azure. This role will focus on defining the graph architecture, ontology, deployment standards, operational framework and cost strategy to support scalable enterprise data and AI solutions. You will take ownership of architectural decisions, ensuring the platform … secure, resilient, performant and aligned with wider enterprise data and AI requirements. Key Responsibilities Define the end-to-end Neo4j architecture, including graph ontology, domain models, schemas, constraints and data governance. Establish architectural standards for graph-based retrieval, multi-hop querying, vector search and GraphRAG. Design scalable ingestion and transformation ...

Elsevier is seeking a DataOps Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer ...

engineering ecosystem is resilient, scalable, and logically consistent. Implementing the Digital Thread: Developing software that transforms fragmented data from disparate sources into a unified, ontology-driven Knowledge Graph. Enabling Composable Engineering: Building a digital environment where relationships between engineering artefacts are first-class citizens, allowing for flexible and concurrent views … moves through the thread, adding semantic value and context. Adapter Development & Data Mapping Develop tool adapters that map local data schemas to a global ontology, ensuring that tool-specific data is ingested into the graph without losing semantic meaning. Focus on "mapping to the model" rather than "mapping ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. … conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience ...

Role Purpose We are seeking a highly skilled and experienced Contractor - Systems Engineer to join our team designing and developing high-integrity systems. The ideal candidate will have a deep understanding of the whole systems ...

tool interfaces, and integration patterns that enable AI capabilities to interact effectively with MES business processes. Leading the platform's approach to data modelling, ontology strategy, semantic understanding, and business context required for AI-driven experiences. Providing architectural leadership across multiple engineering teams delivering AI, Integration, IoT, Connected Worker … software products. Experience designing APIs, service contracts, and software architectures. Experience with cloud-native application development and modern SaaS architectures. Experience with semantic modelling, ontologies, knowledge graphs, or domain-driven modelling approaches used to represent complex business domains. Strong understanding of software architecture, security, scalability, reliability, and observability. Excellent C# ...