ML Systems Engineer Intern — High-Perf Finance

P2P; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for global financial markets.

You will apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems.

Qualifications

• Proficiency in Python and/or C++.
• Experience with DL frameworks (PyTorch, TensorFlow, JAX).
• GPU/Accelerator programming experience (CUDA, Triton, SYCL, ROCm).
• Strong English written and verbal communication and collaboration in a team.

Responsibilities

• Apply state-of-the-art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable ML frameworks for financial applications.
• Optimize training pipelines to leverage HPC resources effectively.
• Integrate ML models into production systems where latency matters.
• Work across languages: C/C++/Python/CUDA and other low-level GPU languages.
• Build large-scale ML systems that are observable, performant, and flexible; reduce iteration time in research.
• Other duties as assigned or needed.

Skills

Python

C++

Pytorch

JAX

TensorFlow

English communication

Tools

CUDA

Triton

SYCL

ROCm

Job description

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for global financial markets.

You will apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems.