ML Systems Engineer

IC Resources

Edinburgh, UK

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.careerjet.co.uk

Tech stack

Distributed Systems Graph Database Python (Programming Language) Machine Learning Performance Tuning AI Infrastructure Large Language Models Low Latency

Job 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

Requirements

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