ML Engineer, HPC & Inference for Quant Research

Dex; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Dex partner role at a leading quantitative research firm blends ML with HPC to empower researchers. You will evaluate, integrate and optimize ML accelerators, drive low-latency inference, and shape platform architectures used by top researchers and external vendors.

Collaborate with internal experts and external vendors, translating research into scalable systems with focus on performance and reliability in a high-impact finance environment.

Qualificações

• Postgraduate degree in Machine Learning or related quantitative field, or equivalent ML systems experience.
• Experience evaluating and integrating ML/HPC technologies.

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.

Conhecimentos

ML systems integration

Performance optimization

Vendor engagement

Formação académica

Postgraduate degree in ML or related quantitative field

Ferramentas

Python

PyTorch

NumPy

Descrição da oferta de emprego

Dex partner role at a leading quantitative research firm blends ML with HPC to empower researchers. You will evaluate, integrate and optimize ML accelerators, drive low-latency inference, and shape platform architectures used by top researchers and external vendors.

Collaborate with internal experts and external vendors, translating research into scalable systems with focus on performance and reliability in a high-impact finance environment.