26 to 50 of 90 Ontologies Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

tight loop between lab execution and the discovery AI. Model chemistry as data. Architect graph models for complex reaction networks, define the semantic ontologies that let AI reason across different chemical data types, and design vector search (e.g. pgvector, Pinecone) for similarity lookups across large molecular sets. Design the telemetry ...

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 ...

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 ...

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 ...

other cloud-native platforms. Event-driven architectures and asynchronous messaging. Istio, mTLS or service mesh technologies. Knowledge of semantic search, knowledge graphs or ontology-based solutions. Mandatory Requirements Current DV Security Clearance. Ability to work onsite at an MOD location in London four days per week. Previous experience delivering within ...

payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. We don't expect all of it. We do expect curiosity about it. Why join ...

analytics. You will champion data democratization, mentor staff, and align cross-functional teams on standards. As a senior leader, you will drive taxonomy, ontologies, and data models, orchestrate complex migrations, and design scalable, secure data pipelines while partnering with #J-18808-Ljbffr ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

Jobtailor is seeking a highly skilled Palantir Foundry engineer to design, build and deploy data pipelines and ontology models for defence and security contexts. You will own end-to-end solutions, integrate live intelligence into workflows, and advise on product improvements while collaborating with diverse stakeholders. Expect 3+ years ...

GNPS, MassBank, MoNA) Scripting ability in Python for developing algorithms and Nextflow/Snakemake for building pipelines Familiarity with utilizing relational database schemas and ontologies to host and structure the variety of datatypes and datasets you will encounter What We Value Ability to intuitively interpret and assess mass spectrometry data ...

person on site Nice to Haves You've done this at a field‐heavy data or AI company Experience with knowledge graphs, semantic layers, ontologies, or entity resolution Deployments into regulated or air‐gapped environments (financial services, insurance, telco, public sector) Enough Python or SQL to prototype in front ...

ambiguity and take responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

ambiguity and take responsibility for the outcome. Strong experience with Databricks and Azure OpenAI, which underpin much of our delivery. Nice to have Ontology, knowledge graph or semantic layer experience. Delivery experience in pharma or CPG. Practical experience designing systems around EU AI Act requirements. Multilingual AI systems in production. ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

systems such as sensor ingestion pipelines, data-fusion layers, knowledge graphs, scoring engines, or rules-based protocol systems. Exposure to clinical data models, health ontologies, or decision-support products. Familiarity with machine learning systems and how to integrate model outputs into production products, although the Platform team owns the core ...

Experience building evaluation systems for LLM-powered applications and AI assistants.* Familiarity with scientific, biomedical, or scholarly datasets and workflows.* Experience with knowledge graphs, ontologies, or semantic enrichment systems.* Exposure to production ML systems, MLOps, and AI governance practices.* Publications or applied research contributions in NLP, IR, search, recommendation systems ...