7 of 7 SPARQL Jobs in Scotland

mock-up tools such as Figma Exposure to cloud technologies (. AWS) Exposure to Golang Exposure to logic programming – Rego, Datalog or Prolog Exposure to RDF technologies such as SparQL or JSON-LD #J-18808-Ljbffr More ❯

mock-up tools such as Figma Exposure to cloud technologies (e.g. AWS) Exposure to Golang Exposure to logic programming - Rego, Datalog or Prolog Exposure to RDF technologies such as SparQL or JSON-LD About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and More ❯

formal test methods, deterministic simulation testing, Satisfiability Modulo theories,Boolean Satisfiability Experience with declarative model transformations or mappings – e.g. in a data pipeline Exposure to RDF technologies such as SparQL or JSON-LD #J-18808-Ljbffr More ❯

technologies and cloud platforms. Exposure to graph libraries, mock-up tools like Figma, and cloud services such as AWS. Familiarity with Golang, logic programming (Rego, Datalog, Prolog), RDF technologies (SPARQL, JSON-LD). About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to prominent clients worldwide. We value diversity and are committed to More ❯

formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability Experience with declarative model transformations or mappings – e.g. in a data pipeline Exposure to RDF technologies such as SparQL or JSON-LD About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and More ❯

learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies (RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable More ❯

and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding … research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If More ❯