Machine Learning Engineer

Dex; Greater London; Presencial; GBP 90.000 - 140.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

PyTorch

NumPy

OO Programming

ML systems

Educación

Postgraduate degree in ML or related field

Herramientas

ML accelerators

HPC technologies

Descripción del empleo

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

The role

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.

Why apply through Dex

This is a rare opportunity to shape the future of ML infrastructure at a firm known for its technical depth. Dex helps you cut through the noise: get a full brief on the company and role, understand the nuances, and skip the cold application process. We connect you directly to decision-makers for roles you won't find easily elsewhere.

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