At a Glance
- Tasks: Design and maintain enterprise ontologies and knowledge graphs to enhance AI capabilities.
- Company: Join a forward-thinking company at the forefront of AI and data management.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Shape the future of knowledge management with cutting-edge semantic technologies.
- Qualifications: Expertise in semantic technologies, ontology engineering, and programming skills.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for an experienced Senior Semantic Engineer to help shape the future of enterprise knowledge management through semantic technologies, ontologies, and knowledge graphs.
This is an exciting opportunity for a specialist who is passionate about creating structured, interconnected data ecosystems that power intelligent applications, AI solutions, and enterprise-wide data understanding.
As a Senior Semantic Engineer, you will design and maintain enterprise ontologies and knowledge graphs that provide a shared understanding of data across the organisation.
Working closely with Data, AI, Engineering, and Business teams, you'll help transform disconnected data into meaningful, connected knowledge that drives innovation, improves decision-making, and enhances AI capabilities.
- What You'll Be Doing
- Design, develop, and maintain enterprise ontologies using OWL, RDF, and related semantic technologies
- Collaborate with business and domain experts to model real-world concepts, entities, and relationships
- Build and manage enterprise knowledge graphs that connect and enrich data from multiple sources
- Configure, maintain, and optimise graph databases and triple stores for performance and scalability
- Develop and optimise SPARQL queries to support analytics, search, and knowledge discovery
- Define and enforce semantic validation rules using technologies such as SHACL and OWL constraints
- Establish standards for data quality, consistency, interoperability, and governance
- Integrate semantic models into enterprise systems, APIs, applications, and data platforms
- Work alongside Data Architects and Engineers to embed semantic capabilities into enterprise workflows
- Partner with AI and Machine Learning teams to enhance LLM and AI-driven solutions with semantic context
- Support the use of knowledge graphs for intelligent agents, reasoning engines, contextual search, and retrieval
- Produce documentation, training materials, and best practice guidance to drive adoption across the organisation.
- Key Skills & Experience
- Semantic Technologies
- Strong expertise in Semantic Web technologies and standards
- Deep knowledge of OWL (Web Ontology Language)
- Strong experience with RDF (Resource Description Framework)
- Advanced SPARQL development and query optimisation skills
- Experience implementing semantic validation frameworks and data quality controls
- Ontology Engineering
- Proven experience designing, developing, and maintaining complex ontologies
- Ability to translate business concepts into scalable semantic models
- Experience creating shared vocabularies and data standards across enterprise domains
- Strong understanding of ontology governance and lifecycle management
- Knowledge Graphs
- Hands‑on experience building and maintaining enterprise knowledge graphs
- Experience linking and integrating data from diverse sources
- Familiarity with graph databases, triple stores, and linked data platforms
- Understanding of graph modelling principles and enterprise‑scale semantic architectures
- Strong knowledge of data modelling and enterprise data architecture
- Experience integrating heterogeneous data sources into unified semantic frameworks
- Ability to map relational and No SQL data structures into ontology‑based models
- Experience integrating semantic technologies into enterprise applications and platforms
- Programming & Development
- Proficiency in Python, Java, or similar programming languages
- Experience developing integrations, automation, and semantic processing applications
- Understanding of APIs, data pipelines, and software development best practices
- Nice to Have
- Experience working with metadata standards such as Dublin Core, schema. org, SKOS, or industry-specific ontologies
- Experience integrating ontologies and knowledge graphs with AI, LLMs, and intelligent agents
- Knowledge of semantic search, reasoning engines, and retrieval systems
- Experience integrating semantic solutions into large-scale enterprise platforms
- Familiarity with leading ontology management and knowledge graph toolsets
- Exposure to AI-driven knowledge retrieval, disambiguation, and context‑enrichment solutions
Why Join?
This role sits at the intersection of Data, Knowledge Management, and Artificial Intelligence.
You'll have the opportunity to build foundational semantic capabilities that enable smarter data, more effective AI systems, and greater enterprise understanding across the organisation.
If you're passionate about Knowledge Graphs, Ontologies, Semantic Web technologies, and the future of AI-powered knowledge systems, we'd love to hear from you.
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Senior Semantic Engineer – Knowledge Graphs, Ontologies & AI Integration in London employer: Luxoft
Luxoft is an excellent employer that fosters a dynamic and collaborative work culture, particularly for those passionate about market risk analytics. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive agile environment. Located in the United Kingdom, Luxoft offers a unique blend of professional development and a vibrant team atmosphere, making it an ideal place for skilled developers looking to make a meaningful impact.
