Norton Blake
Job Title: Semantic Technologies Engineer My client a leader in their field are pioneers in the world of semantic technologies, helping businesses unlock the value of their data by building knowledge graphs, ontologies, and AI-powered solutions. Our mission is to enable smarter, data-driven decision-making through cutting-edge semantic engineering. My client are looking for a Semantic Technologies Engineer to join their dynamic team and help design, develop, and scale the systems that power our advanced knowledge-driven products. What You'll Do Develop Knowledge Graphs & Ontologies: Build and maintain semantic models to represent complex data relationships effectively. Engineer Semantic Solutions: Use Python and graph database technologies to design and implement scalable solutions for data integration, querying, and analytics. Optimize Semantic Systems: Enhance the performance of semantic queries and ensure efficiency for handling large-scale datasets. Collaborate Across Teams: Work closely with data scientists, AI specialists, and product developers to align semantic technologies with business needs. Drive Innovation: Stay ahead of trends in semantic web standards, graph databases, and AI-powered knowledge management to bring forward-thinking solutions to the team. What We're Looking For Proven Python Expertise: Strong experience in Python for data manipulation and semantic tools, with libraries like RDFLib, NetworkX, or Pandas. Graph Database Knowledge: Hands-on experience with Neo4j, GraphDB, or similar technologies, including writing and optimizing SPARQL queries. Ontology Management: Practical experience in developing ontologies using RDF, OWL, or SKOS. Semantic Web Standards: Solid understanding of W3C standards like RDF, OWL, and linked data principles. Engineering Skills: Strong foundation in algorithms, data structures, and software design principles. Bonus Skills (Nice to Have) Familiarity with RESTful API development and integration. Knowledge of ETL processes and transforming unstructured data into structured formats. Experience with machine learning frameworks or knowledge graph embeddings. Proficiency in Agile development and version control systems like Git. What's in It for You? Work on groundbreaking projects using semantic technologies and AI. Collaborate with a team of innovators in a supportive and forward-thinking environment. Enjoy flexibility, professional growth opportunities, and a positive work-life balance If you are a semantic technologies engineer looking for a new opportunity, please do get in touch ASAP for a confidential discussion.
Job Title: Semantic Technologies Engineer My client a leader in their field are pioneers in the world of semantic technologies, helping businesses unlock the value of their data by building knowledge graphs, ontologies, and AI-powered solutions. Our mission is to enable smarter, data-driven decision-making through cutting-edge semantic engineering. My client are looking for a Semantic Technologies Engineer to join their dynamic team and help design, develop, and scale the systems that power our advanced knowledge-driven products. What You'll Do Develop Knowledge Graphs & Ontologies: Build and maintain semantic models to represent complex data relationships effectively. Engineer Semantic Solutions: Use Python and graph database technologies to design and implement scalable solutions for data integration, querying, and analytics. Optimize Semantic Systems: Enhance the performance of semantic queries and ensure efficiency for handling large-scale datasets. Collaborate Across Teams: Work closely with data scientists, AI specialists, and product developers to align semantic technologies with business needs. Drive Innovation: Stay ahead of trends in semantic web standards, graph databases, and AI-powered knowledge management to bring forward-thinking solutions to the team. What We're Looking For Proven Python Expertise: Strong experience in Python for data manipulation and semantic tools, with libraries like RDFLib, NetworkX, or Pandas. Graph Database Knowledge: Hands-on experience with Neo4j, GraphDB, or similar technologies, including writing and optimizing SPARQL queries. Ontology Management: Practical experience in developing ontologies using RDF, OWL, or SKOS. Semantic Web Standards: Solid understanding of W3C standards like RDF, OWL, and linked data principles. Engineering Skills: Strong foundation in algorithms, data structures, and software design principles. Bonus Skills (Nice to Have) Familiarity with RESTful API development and integration. Knowledge of ETL processes and transforming unstructured data into structured formats. Experience with machine learning frameworks or knowledge graph embeddings. Proficiency in Agile development and version control systems like Git. What's in It for You? Work on groundbreaking projects using semantic technologies and AI. Collaborate with a team of innovators in a supportive and forward-thinking environment. Enjoy flexibility, professional growth opportunities, and a positive work-life balance If you are a semantic technologies engineer looking for a new opportunity, please do get in touch ASAP for a confidential discussion.