At a Glance
- Tasks: Evaluate and optimise enterprise semantic data infrastructure for AI applications.
- Company: Leading biomedical tech firm in London with a hybrid work model.
- Benefits: Competitive contract rate, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by bridging complex data and innovative AI solutions.
- Qualifications: Experience in knowledge graphs and strong technical skills in data infrastructure.
The predicted salary is between 60000 - 80000 £ per year.
Location : London, Hybrid Type of employment : Inside IR35 contract Role Overview - We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure.
In this role, you will bridge the gap between complex biomedical data and actionable AI applications.
You will conduct comprehensive health checks on our current stack, refine bio-ontologies, and build the strategic roadmap for our next-generation Graph RAG and Gen AI platforms.
Key responsibilities - Platform
Assessment: Conduct comprehensive technical health checks on existing graph databases and cluster infrastructure.
Ontology
Lead Knowledge Graph Engineer employer: Upbeat Ideas UK
As a Lead Knowledge Graph Engineer in London, you will join a forward-thinking company that prioritises innovation and employee development. With a hybrid work model, you will enjoy a flexible work environment that fosters collaboration and creativity, while also benefiting from comprehensive training programs and career advancement opportunities. Our inclusive culture encourages knowledge sharing and teamwork, making it an ideal place for professionals looking to make a meaningful impact in the biomedical field.
