Machine Learning Engineer, AI Startup (Edinburgh, hybrid, UK-wide considered)
An early-stage AI infrastructure company building a persistent, high-speed knowledge layer for agentic AI, letting thousands of AI agents query a shared knowledge base concurrently. Spinning out of a leading UK university, currently hardware-led and building out its software capability from scratch.
The role
Own the software-side modelling and benchmarking that proves the system works, working closely with the CTO.
What You’ll Do
- Own the software model (“digital twin”) used to evaluate system behaviour ahead of dedicated hardware
- Build agentic AI and GraphRAG workloads showing measurable system-level improvements
- Build and maintain a benchmark suite (latency, GPU utilisation, token reduction, throughput, cost per query)
- Design experiments isolating the impact of the semantic memory layer on inference performance
- Develop enterprise knowledge graph datasets and evaluation methodologies
- Work with hardware/systems teams to keep software models aligned with hardware capability
- Generate evidence to support pilots, fundraising, and technical validation
What We’re Looking For
- Commercial experience in AI systems, retrieval, or AI infrastructure, having shipped production software
- Hands-on experience with agentic pipelines, LLM fine-tuning, RAG/GraphRAG, or knowledge graphs
- Strong Python, comfortable across ML, distributed systems, and performance engineering
- Track record building benchmarks/eval frameworks with real rigour
- Systems thinker, high agency, comfortable with ambiguity
- Strong communicator able to translate technical results into clear evidence
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ML Systems Engineer employer: IC Resources
Join a forward-thinking semiconductor company that values innovation and excellence in digital design. With a strong emphasis on mentorship and professional growth, you'll thrive in a collaborative environment where your leadership will directly impact the success of complex ASIC/FPGA projects. Located in a vibrant tech hub, this role offers unique opportunities to shape methodologies and drive cutting-edge solutions while enjoying a supportive work culture that prioritises employee development.
