Campus ML Research Engineer (Full-Time)

Amsterdam Quant Society

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

20 hours ago
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Job summary

Jump Trading, a global quantitative trading firm, is seeking a full-time ML engineer in London. The role focuses on building financial-ML frameworks, training pipelines, and low-latency inference on large GPU systems using Python, C++, CUDA and modern ML libraries.

The position emphasizes HPC training, observable systems, and production integration. International candidates are welcome; visa sponsorship is available. Strong English and collaboration are essential.

Qualifications

  • Build reusable ML frameworks for financial applications.
  • Optimise training pipelines for HPC environments.
  • Integrate ML models into latency-sensitive production systems.
  • Develop large-scale, observable ML systems.
  • Work with Python, C++, CUDA and GPU technologies.

Responsibilities

  • Build reusable ML frameworks for financial machine learning.
  • Optimise training pipelines for high-performance computing.
  • Integrate ML models into latency-sensitive production systems.
  • Build large-scale, observable ML systems.
  • Work with C, C++, Python, CUDA and other GPU technologies.

Skills

Python
C++
CUDA
GPU programming
PyTorch
JAX
TensorFlow
English communication

Education

Graduate degree in CS/ML

Tools

CUDA toolkit

Job description

Full-time ML engineering role building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with Python, C++, CUDA, and modern ML libraries.

  • Build reusable frameworks for financial machine learning.
  • Optimise training pipelines for high-performance computing.
  • Integrate ML models into latency-sensitive production systems.
  • Build large-scale, observable ML systems.
  • Work with C, C++, Python, CUDA, and other low-level GPU technologies.
  • Python and/or C++.
  • PyTorch, JAX, TensorFlow, or another deep-learning library.
  • GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools.
  • Large-scale ML systems, including very large training datasets and low-latency or high-throughput inference.
  • Strong written and verbal English.
  • Creativity, self-motivation, collaboration, and reliable availability.

Jump does not expect every candidate to have every listed skill. International candidates are encouraged to apply. Jump states that it sponsors work visas for full-time positions.

Details

Role information

Location London

Job type Graduate

Category Machine Learning

Company

Chicago, United States

Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons.

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