Intellectual Capital Resources is seeking an experienced AI infrastructure leader for an Edinburgh-based hybrid role, with UK-wide candidates considered. You will own the digital twin software model used to evaluate system behavior before hardware is deployed and will drive agentic AI workloads with measurable system-level improvements.
The role requires strong Python skills, expertise in LLM fine-tuning and RAG, and a track record of designing robust benchmarks.
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ML Systems Engineer: Agentic AI & GraphRAG Benchmarks employer: Intellectual Capital Resources
Join a dynamic team where innovation meets collaboration, as we empower our Opto Mechanical Engineers to transform cutting-edge optical concepts into tangible products. Our supportive work culture fosters continuous learning and professional growth, with hands-on opportunities in a state-of-the-art laboratory environment. Located in a vibrant area, we offer competitive benefits and a chance to work alongside industry experts, making this an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
Intellectual Capital Resources Recruitment Team
