1 to 25 of 33 Permanent Ontologies Jobs

Experience supporting AI/ML or advanced analytics projects. Familiarity with data catalogues, governance, and lineage tools (e.g. Collibra, Alation, Atlas). Exposure to ontologies, semantic modelling, or knowledge graphs. Experience with modern architectures (lakehouse, data mesh, streaming/event-driven systems). Relevant cloud or data architecture certifications. ...

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 ...

Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

best query the new data. Required Skills Technical & Domain Expertise: Knowledge Graph Fundamentals: Understanding of graph concepts (Nodes, Edges, Properties) Taxonomy & Ontology: Experience categorizing data, managing hierarchies, and understanding semantic relationships between entities. Data Literacy: Proficiency in navigating complex datasets. Experience with SQL, SPARQL, or Cypher is a strong plus. ...

Palantir Foundry–based solutions, from problem definition to production Design and implement data pipelines and transformations across diverse data sources Model data using Foundry Ontology concepts to support analytics and operational use cases Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry Collaborate closely with business stakeholders … skills in Python and SQL ; PySpark experience required Hands-on experience with Palantir Foundry , including: Pipeline Builder/Code Workbook Data integration and transformation Ontology modelling and data lineage Solid understanding of data architectures , including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi ...

connected, skills-based Talent ecosystem across the entire global workforce. Programme Scope Talent Marketplace (Gloat, Eightfold) · Learning Experience Platform (Degreed, Cornerstone) · Skills taxonomy and ontology · Job architecture · Workforce intelligence and analytics What the Role Involves Own the programme end-to-end, including governance, budget, risk and SteerCo reporting Lead full ...

team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President – Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing … ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related ...

retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first‐class object. Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold‐standard published ...

Semantic Architect Location - Erskine, Newcastle, Farnborough or London Candidates are required to be eligible for clearance What Youll Do Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships. Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources. … with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows. Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning. Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management. ...

delivery structures Driving enterprise adoption and transition to BAU The programme is centred around enabling a skills-based organisation , including: Skills taxonomy/ontology and intelligent job architecture Talent marketplace and internal mobility AI-driven skills inference and workforce insights Integration across the full Talent lifecycle (hire → develop → deploy) Data ...

their implementation ofSuccessFactors. You will also have opportunities to support clients in embedding skills-based hiring , leveraging SAP Talent Intelligence Hub (TIH), Skills Ontologies and skills metadata to optimise job design, sourcing, screening and internal mobility workflows. This role combines hands-on configuration, solution design, client advisory and the opportunity ...

SuccessFactors to design innovative, future-ready solutions — from traditional talent modules (Performance & Goals, Career & Succession, LMS) to in-demand capabilities such as Skills Ontologies, Growth Portfolios, and Talent Intelligence use cases. In addition to deep product knowledge, this role offers opportunities to lead functional workstreams and small delivery teams ...

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 ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments, Operational support and troubleshooting. Experience dealing with Performance issues or optimisation tasks, Permissions and basic security models, Schema/ontology changes and their impact on downstream use cases, Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (e.g. workshops, demos ...

cases, net-zero targets. Experience with Future-Proofing: Designing flexible infrastructure that can adapt to future technological advancements. Desirable Experience: Exposure to open-source ontologies and smart building frameworks (e.g. Brick, Project Haystack, DBO) Experience of designing or working with or implementing a digital twin, analytics platforms, or middleware (e.g. ...

Data Modelling Lead, Associate Director - Insurance Location: London or ManchesterBusiness Line: Technology & TransformationJob Type: Permanent/FTC Lead the Future of Data in InsuranceA leading global professional services organisation is seeking experienced Senior Data Modellers ...

migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity … migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. Implement validation frameworks to ensure complete data accuracy, consistency, and lineage ...

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 ...

human in the loop oversight. Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines. Product Execution & Delivery Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes. Lead backlog … related field. Nice to Have Experience with Agentic AI frameworks, multi‐agent orchestration, tool‐calling, or workflow engines. Background in data platforms, knowledge graphs, ontologies, or case/intel fusion systems. Hands‐on technical background (e.g., engineering, data science, or analytics) or strong technical literacy. Prior experience at a regtech ...

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 ...