Campus ML Research Engineer (Intern)

Amsterdam Quant Society; Greater London; Hybrid; GBP 7,800 - 13,000; Full time

Job summary

Amsterdam Quant Society is offering an ML engineering internship in London to work on financial-ML frameworks, HPC training pipelines, and low-latency inference on large GPU systems. You will implement reusable components, optimize pipelines, and deploy models into production with high throughput.

The role emphasizes Python/C++ fluency, experience with PyTorch or TensorFlow, and strong communication in English.

Qualifications

• Pursuing an undergraduate or master's degree in ML or CS.
• Strong programming fundamentals in Python/C++.
• Familiarity with ML libraries (PyTorch, TensorFlow, JAX) and GPU programming.

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.
• Collaborate across teams; communicate clearly in English.

Skills

C/C++

Python

CUDA

Deep Learning libs

GPU programming

ML infrastructure

English proficiency

Collaboration

Education

Pursuing undergraduate or master's in ML/CS

Tools

PyTorch

JAX

TensorFlow

CUDA

Triton

SYCL

ROCm

Job description

ML engineering internship 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 students are encouraged to apply.

Details

Role information

Location London

Job type Internship

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.