Machine Learning Engineer

Dex; Greater London; On-site; GBP 95,000 - 130,000; Full time

Job summary

Dex is seeking a senior ML/HPC specialist to join our quant research team in Greater London. This role focuses on evaluating and integrating ML accelerators and HPC technologies to accelerate research velocity. You will optimize inference latency, benchmark distributed training, and work closely with vendors to shape product roadmaps.

You will lead design and implementation of scalable architectures, combining deep ML knowledge with high-performance computing to deploy robust systems at scale.

Qualifications

• Postgraduate degree in ML or related field or equivalent commercial ML systems experience.
• Strong programming in Python with PyTorch and NumPy.
• Deep expertise in advanced optimization methods, modern ML techniques, HPC, profiling, or model inference.

Responsibilities

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

Skills

Python

PyTorch

NumPy

Education

Postgraduate degree in ML or related field

Tools

High-Performance Computing

Profiling

Model Inference

Job description

A leading quantitative research firm applies scientific clarity to the most complex problems in finance. They build next-generation machine learning and high-performance computing platforms, turning novel research into tradable signals.

This role sits at the intersection of advanced ML and HPC architecture, shaping the platforms and tools that empower quantitative researchers. You won't be building models in isolation; instead, you'll evaluate, integrate, and optimize the underlying technologies that amplify research velocity, working closely with both internal experts and external vendors.

The work

• 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.

What You Bring

• A postgraduate degree in Machine Learning or a related quantitative field, or equivalent commercial experience building ML systems at scale.
• Strong object-oriented programming skills, particularly with Python, PyTorch, and NumPy.
• Deep expertise in at least one of: advanced optimization methods, modern ML techniques, high-performance computing, profiling, or model inference.
• A demonstrated ability to evaluate and integrate novel ML/HPC technologies, engaging with external experts and vendors.