ML Infrastructure Engineer - HPC & Low-Latency Systems

Dex; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Dex is assisting a leading quantitative research firm in London to recruit for a role at the intersection of advanced ML and HPC architecture. You will help shape platforms and tools that empower researchers, working with internal experts and external vendors.

The role emphasizes evaluating, integrating, and optimizing ML/HPC technologies to boost research velocity, speed, and reliability in production-grade environments.

Qualifications

• Postgraduate degree in ML or related quantitative field, or equivalent commercial experience building ML systems at scale.
• Strong object-oriented programming skills, particularly with Python, PyTorch, and NumPy.

Responsibilities

• Evaluate and integrate cutting-edge ML accelerators and HPC technologies.
• Optimize model inference for extreme latency and throughput requirements.
• Benchmark distributed training setups, understanding networking and storage trade-offs.
• Engage directly with leading technology vendors, influencing their product roadmaps.
• Design and implement solutions, from rapid proofs-of-concept to robust system architectures.

Skills

Python

PyTorch

NumPy

OO Programming

ML systems

Education

Postgraduate degree in ML or related field

Tools

ML accelerators

HPC technologies

Job description

Dex is assisting a leading quantitative research firm in London to recruit for a role at the intersection of advanced ML and HPC architecture. You will help shape platforms and tools that empower researchers, working with internal experts and external vendors.

The role emphasizes evaluating, integrating, and optimizing ML/HPC technologies to boost research velocity, speed, and reliability in production-grade environments.