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# Senior ML Systems Engineer

- **Company:** Intellectual Capital Resources Limited
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Profiling, Computer Engineering, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Network Switches, Low Latency, Machine Learning Operations
- **Published:** August 11, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2918643644-2

## About the Role

Master's or PhD in CS, Electrical or Computer Engineering, or related field
Strong background in ML systems, distributed systems, performance engineering, or simulation
Experience analysing compute, communication, and memory behaviour in large-scale ML systems
Hands-on benchmarking, profiling, and measurement of ML systems
Familiarity with distributed training concepts: data/tensor/pipeline parallelism, collectives, synchronisation
Proficiency in Python, C++, or Rust

## Description

We're partnering with a well-funded, research-driven organisation at the frontier of large-scale ML infrastructure. This is a hands-on technical role for someone who enjoys going deep on performance modelling, distributed systems, and real hardware behaviour - with direct influence over architecture decisions at scale.
What you'll do
Build simulation models for compute, memory, interconnect, and communication behaviour across large-scale ML systems
Develop tools to simulate training and inference workloads across distributed accelerator clusters
Model distributed execution patterns including collectives, synchronisation, and communication bottlenecks
Run experiments and benchmarks on real ML systems to calibrate and validate simulation models
Analyse end-to-end performance: throughput, latency, scaling efficiency, and cost/performance tradeoffs
Collaborate with hardware, software, networking, and ML teams to communicate findings through design recommendations


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