ML & HPC Platform Engineer for Low-Latency AI

Dex; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Dex is seeking a role at a leading quantitative research firm focused on ML and HPC platforms. The position centers on evaluating and integrating advanced ML accelerators and HPC technologies to empower quantitative researchers.

You will optimize model inference, benchmark distributed training, and collaborate with internal experts and external vendors to build scalable, high-performance infrastructure.

Qualifications

• Postgraduate degree in ML or equivalent commercial experience building ML systems at scale (or both).
• Strong object oriented programming skills, particularly Python, PyTorch, NumPy.
• Deep expertise in at least one of: optimization methods, modern ML techniques, HPC, profiling, or model inference.
• Experience evaluating and integrating novel ML/HPC technologies with external experts and vendors.

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 with technology vendors, influencing product roadmaps.
• Design and implement solutions from rapid proofs-of-concept to robust system architectures.

Skills

Python

PyTorch

NumPy

Education

Postgraduate degree in Machine Learning or related field

Tools

ML accelerators

Job description

Dex is seeking a role at a leading quantitative research firm focused on ML and HPC platforms. The position centers on evaluating and integrating advanced ML accelerators and HPC technologies to empower quantitative researchers.

You will optimize model inference, benchmark distributed training, and collaborate with internal experts and external vendors to build scalable, high-performance infrastructure.