ML Research Intern: Financial AI & High-Performance Pipelines

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

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.