26 to 50 of 95 Ontologies Jobs

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 ...

business aligned. Partner with data and analytics engineering teams to design AI-ready data architectures, including data structures, metric layers, semantic models and ontologies, while developing and evaluating proof of concepts to validate emerging technologies, architectural patterns and AI capabilities. Define and champion enterprise-wide standards, governance and best practices ...

MODCloud, Tanzu, EKS or 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 RequirementsCurrent DV Security Clearance.Ability to work onsite at an MOD location in London four days per week.Previous experience delivering within MOD, Defence, Defence ...

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 ...

preferred).Proficient in at least one programming language—ideally Python—with experience in common ML libraries.Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs).Comfortable working with relational, NoSQL, and graph databases.Strong data-processing skills, including cleaning, filtering, and feature extraction.Clear communicator with strong collaboration and presentation ...

marketplaces to federate data management. Modern data management architecture requirements to support AI-ready data including but not limited to the use Knowledge Graphs, Ontologies and Semantics for AI use cases and AI agents Hands-on experience with Data Integration and Engineering tools, is a plus. Hands on experience with ...

scalability of Neo4j environments. Driving graph quality initiatives, confidence scoring and automated data validation processes. Collaborating with architects, engineers and stakeholders to evolve ontology and schema frameworks. We're looking for Strong commercial experience with Neo4j in large-scale enterprise environments. Advanced Cypher query development and optimisation skills. Proven experience ...

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 ...

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 ...

customers. You 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 between ...

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 ...

product strategy, delivery, and measurable outcomesPreferred domain experience includes patent analytics, legal tech, enterprise intelligence, or similar analytical domains, plus familiarity with taxonomy, metadata, ontology, or structured domain model challenges would also be preffered.Work in a Way that Works for YouWe promote a healthy work/life balance across ...

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. ...

organizations at scale.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, or generative ...

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 ...

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 ...

programs, including scaling initiatives from pilot to business-as-usualStrong understanding of AI-enabled workflows, analytics platforms, and insight systems; familiarity with knowledge graphs, ontologies, agile product delivery, and sprint-based methodologies is preferredExcellent stakeholder management, communication, and influencing skills, with the ability to coach senior commercial leaders and drive ...

foundational settings.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 reasoningExperience 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 ...

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 ...

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 ...

Ability to influence stakeholders and guide teams through ambiguity, translating productivity opportunities into clear technical direction and MVPs Desirable Expertise in knowledge management, enterprise ontology and knowledge graph technology Business process optimisation experience (e.g. Business Process Modelling, Lean Six Sigma) Experience with applied research/experimentation Advanced degree ...

Ability to influence stakeholders and guide teams through ambiguity, translating productivity opportunities into clear technical direction and MVPs Desirable Expertise in knowledge management, enterprise ontology and knowledge graph technology Business process optimisation experience (e.g. Business Process Modelling, Lean Six Sigma) Experience with applied research/experimentation Advanced degree ...