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# ML Systems Engineer

- **Company:** IC Resources
- **Location:** Edinburgh, UK
- **Contract:** Permanent contract
- **Skills:** Distributed Systems, Graph Database, Python (Programming Language), Machine Learning, Performance Tuning, AI Infrastructure, Large Language Models, Low Latency
- **Published:** August 28, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb286922da81fa3ad2165fe1873068e0cd/eaa

## About the Role

* 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

## Description

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


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