At a Glance
- Tasks: Design and build knowledge graphs to support enterprise AI solutions.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
- Why this job: Make an impact by structuring complex information for innovative AI applications.
- Qualifications: Experience in knowledge graphs, programming skills in Python or Java.
The predicted salary is between 60750 - 74250 £ per year.
We are seeking a hands-on
Knowledge Graph Engineer to design and build knowledge graphs, ontologies and semantic data models that support enterprise AI solutions.
The role will involve working closely with AI, data and architecture teams to structure complex information, improve search and retrieval, and support LLM, RAG and agentic AI use cases.
Key Responsibilities
- Design and develop knowledge graphs and enterprise ontologies.
- Build semantic models for complex business domains.
- Integrate structured and unstructured data from multiple sources.
- Develop graph-based solutions that support AI, search and data discovery.
- Work with stakeholders to translate business concepts into scalable knowledge models.
- Support the use of knowledge graphs within LLM, RAG and Graph RAG solutions.
- Ensure knowledge models are governed, reusable and aligned with enterprise standards.
- Required Experience
- Strong experience designing and implementing knowledge graphs.
- Hands-on ontology and semantic modelling experience.
- Good knowledge of graph databases and semantic standards.
- Experience with data integration and API development.
- Strong programming skills, ideally in Python or Java.
- Ability to work across technical and business teams.
- Experience integrating knowledge graphs with LLMs or RAG solutions.
- Knowledge of semantic search, entity resolution and metadata management.
- Experience working with cloud-based AI or data platforms.
- #J-18808-Ljbffr
Knowledge Graph Engineer (Insurance) employer: US3 Consulting
As a Site Reliability Engineer at our company, you'll be part of a dynamic and innovative team dedicated to building resilient cloud infrastructure for cutting-edge SaaS products. We foster a collaborative work culture that values continuous learning and professional growth, offering opportunities to enhance your skills in a hybrid working environment that balances flexibility with regular team engagement. Join us to make a meaningful impact while enjoying the benefits of a supportive workplace that prioritises employee well-being and development.
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We think this is how you could land Knowledge Graph Engineer (Insurance)
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We think you need these skills to ace Knowledge Graph Engineer (Insurance)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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