1 to 25 of 28 Remote Permanent Ontologies Jobs

and fast-paced. ✅ What We’re Looking For: Proven Palantir Foundry or Gotham experience Hands-on skills in Python, Java, TypeScript, or relevant frameworks Experience in AI/ML, Ontology, Deployment Pipelines, or DataOps Strong stakeholder engagement skills Active or eligible UK security clearance Mid to Senior-level professionals ready to make a difference 📩 Interviews are underway — don’t miss More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

of contemporary data management principles. Experience of working within, and influencing, international collaborations, including those within the Photon and Neutron community. Knowledge of the use of FAIR vocabularies and ontologies, Persistent Identifiers and metadata schemas (e.g. DataCite and domain-specific vocabularies). Ability to present complex concepts to both specialist and non-specialist audiences. Skills in managing multiple projects and More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London UK (hybrid) Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings + rerank ) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Terraform Background in scientific computing, ML infrastructure, or building tools for research teams Experience with chemical informatics tools, molecular representation formats (SMILES, InChI, SDF, MOL files), as well as ontologies and controlled vocabularies in chemistry/biology (Gene Ontology, ChEBI ontology, EC numbers). Essential Qualities: High Agency : You see infrastructure problems and design solutions without waiting for detailed specifications. More ❯

Terraform Background in scientific computing, ML infrastructure, or building tools for research teams Experience with chemical informatics tools, molecular representation formats (SMILES, InChI, SDF, MOL files), as well as ontologies and controlled vocabularies in chemistry/biology (Gene Ontology, ChEBI ontology, EC numbers). Essential Qualities: High Agency : You see infrastructure problems and design solutions without waiting for detailed specifications. More ❯

Terraform Background in scientific computing, ML infrastructure, or building tools for research teams Experience with chemical informatics tools, molecular representation formats (SMILES, InChI, SDF, MOL files), as well as ontologies and controlled vocabularies in chemistry/biology (Gene Ontology, ChEBI ontology, EC numbers). Essential Qualities: High Agency : You see infrastructure problems and design solutions without waiting for detailed specifications. More ❯

Terraform Background in scientific computing, ML infrastructure, or building tools for research teams Experience with chemical informatics tools, molecular representation formats (SMILES, InChI, SDF, MOL files), as well as ontologies and controlled vocabularies in chemistry/biology (Gene Ontology, ChEBI ontology, EC numbers). Essential Qualities: High Agency : You see infrastructure problems and design solutions without waiting for detailed specifications. More ❯

Terraform Background in scientific computing, ML infrastructure, or building tools for research teams Experience with chemical informatics tools, molecular representation formats (SMILES, InChI, SDF, MOL files), as well as ontologies and controlled vocabularies in chemistry/biology (Gene Ontology, ChEBI ontology, EC numbers). Essential Qualities: High Agency : You see infrastructure problems and design solutions without waiting for detailed specifications. More ❯