1 to 25 of 90 Permanent Ontologies Jobs

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.LLM-Powered Analytics - Prototype LLM-enabled features ...

aligning technical outcomes with business value; Nice to have: Experience applying AI in drug discovery, safety monitoring, or clinical development; understanding of biomedical ontologies or knowledge graph applications; knowledge of FDA and EMA regulatory frameworks and data privacy considerations; background in computational biology, biostatistics, or a related scientific discipline; familiarity ...

complex, ambiguous environments. * A strategic mindset combined with the ability to drive practical outcomes. Desirable Experience * Cloud migration and cloud-native data architecture. * Ontologies, semantic modelling or knowledge graphs. * AI-enabled data architectures and emerging technologies. * Experience developing enterprise data standards and frameworks. DV Clearance Eligibility Requirements * UK residency history ...

generation Developing intelligent retrieval, ranking, recommendation and decision-support systems Applying semantic, vector and hybrid search techniques across large-scale datasets Integrating metadata, taxonomies, ontologies and structured knowledge into AI workflows Developing robust LLM and AI evaluation frameworks , experimentation methodologies and monitoring Improving the quality, reliability, trust and performance ...

post graduate qualification.Right to work in the UK Nice to haveExperience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.How we work ...

maintain knowledge graph structures that reflect canonical domain models • Develop and manage graph database schemas, queries, and data ingestion pipelinesEnsure semantic consistency between ontology definitions and downstream data product AI & Vector InfrastructureDesign and implement embedding pipelines that represent Comply’s financial and regulatory data invector spaceBuild and operate vector database ...

sync with reality has consequences. Previous experience in AI drug discovery is a genuine differentiator for us. Interest in semantic technologies (graph databases, ontologies) or modern data stack. Experience enabling analytics teams by building data models for BI tools and dashboards. Familiarity with Infrastructure as Code (AWS CDK or Terraform ...

operational use cases. Architect high-performance data systems, ensuring scalability, reliability, and efficiency. Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration Work closely with clients to understand requirements and translate them into technical solutions. Manage stakeholder relationships and communicate progress and value effectively. Deliver ...

operational use cases. Architect high-performance data systems, ensuring scalability, reliability, and efficiency. Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration Work closely with clients to understand requirements and translate them into technical solutions. Manage stakeholder relationships and communicate progress and value effectively. Deliver ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

schemas, and project lifecycles (Agile preferred)Bonus Points ForHands-on experience with data modelling tools such as Erwin, Sparx, Visual ParadigmExperience working with ontologies and knowledge of RDF/OWL/TTLExposure to Python or SQL scripting in support of data model designKnowledge of data governance and enterprise metadata integration ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

question answering, and evidence-grounded insight generation.Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.Write production-ready Python code ...

remediation backlogDefine and enforce remediation SLAsCollaborate with engineering and domain teams to resolve quality issuesEstablish governance processes for ongoing quality assuranceCollaborationPartner with data engineering, ontology, and AI teamsAlign quality standards with enterprise data governance frameworksPromote best practices in data quality management and validationRequired SkillsData Quality Frameworks (profiling, validation, governance)Graph ...

scientific discovery, knowledge extraction, decision support, and intelligent content understanding.Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline.Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering ...

communicating them to stakeholders.Nice to haves:Experience with any of the following specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection.Creating Python-based applications and/or APIs.A degree in a field like data science, physics, computational science, mathematics ...

catalogue initiatives. Able to produce client-ready architecture documents and written review responses without editorial support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset ...