12 of 12 Remote/Hybrid Permanent Ontologies Jobs

equivalent). ● Familiarity with graph-RAG patterns — using graph traversal, community detection, or subgraph retrieval to provide relational context to LLMs. ● Understanding of ontology design and entity resolution for financial entities (counterparties, instruments, legal entities). Structured Data & Databricks (must-have) ● Production experience with Databricks — Delta Lake, Unity Catalog, Spark ...

Google Cloud) Experience with continuous integration and testing frameworks Familiarity with text mining or AI-assisted data extraction tools Experience working with ontologies or controlled vocabularies Experience with Python web frameworks such as Django, Django REST Framework, or FastAPI Apply now! Benefits and Contract Information Financial incentives: depending on circumstances ...

Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases ...

programmes , from conceptual modelling through logical/physical layers, tied directly to business priorities. Develop a unified language for data -dictionaries, vocabularies, taxonomies and ontologies that allow teams to interpret data consistently. Shape data and analytics architectures collaboratively with solution and enterprise architects. Act as a trusted advisor to senior ...

agentic systems, LLMs, and AI-driven architectures Experience with AI search (vector databases, hybrid search, GraphRAG) is highly desirable Familiarity with knowledge graphs, ontologies, or complex data modelling Strategic & Commercial Thinking Experience making build vs buy and technology investment decisions Ability to evaluate and integrate third-party tools, platforms ...

Knowledge of UML, RDBMS, JSON/XML* Knowledge/experience of Erwin Desirable: * Knowledge of industry data standards (e.g. fpML, FIX, FIBO)* Experience with ontologies (RDF/OWL/TTL)* SQL and/or Python If interested please apply. To follow up on your application please email or drop ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

Large Language Models (LLMs), approving accurate outputs and correcting inconsistencies Perform quality assurance on large datasets to ensure adherence to established taxonomy and ontology standards Participate in data labeling and entity classification exercises to create high-quality training datasets for machine learning models Investigate and resolve data integrity issues such … that improves AI model performance and data pipelines. Required Skills: Strong understanding of Knowledge Graph fundamentals (nodes, edges, relationships, and properties) Experience with taxonomy, ontology, or semantic data organization Experience with data labeling, entity extraction, or AI training datasets Familiarity with Generative AI/LLM workflows and common challenges such ...

responsibilities will include: Curating molecular interaction and complex information from the scientific literature and direct user data depositions Capturing biological knowledge using controlled vocabularies, ontologies, and community data standards Validating and improving data extracted through AI-assisted literature mining tools Collaborating with software developers to improve biocuration tools and curation … team Excellent communication, interpersonal, and English language skills You may also have Experience with biocuration and/or annotation of biological databases Experience with ontologies and controlled vocabularies (e.g. Gene Ontology or PSI-MI) Experience using bioinformatics tools or scripting languages (e.g. Python or R) Experience in text mining, natural ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...

genuine ownership of the platform architecture, not just lead from a distance, but design and build alongside the team. You'll be responsible for ontology design, data pipeline architecture, and data modelling from scratch, while guiding a team of engineers through implementation and acting as the technical authority with senior … stakeholders. The client is clear, they want someone who has done this work themselves, not just directed others. Must Have Hands-on experience designing ontologies, data pipelines, and data models from scratch Proven experience leading a Palantir Foundry pilot or full end-to-end implementation Ability to lead and guide ...

teams. Key Responsibilities: Design and deliver scalable, self-healing data pipelines from ingestion through to consumption Architect and implement graph models and ontologies at the core of the data layer Own semantic data modelling and dimensional design Make and own architectural decisions across the full stack in close collaboration with … Requirements: End-to-end data platform architecture and delivery Hands-on with Python and Azure (low-code and full stack) Semantic data modelling, ontology design and graph databases Workflow automation and AI-adjacent data structures Scientific or pharmaceutical data environments desirable, not essential Contract Details: Day Rate: Competitive, open ...