Machine Learning Researcher — AI R&D for Market Signals

Westren Capital; Greater London; Hybrid; GBP 150,000 - 180,000; Full time

Job summary

Westren Capital in London seeks a Machine Learning Researcher to advance research at the intersection of quantitative finance and ML. You will design and evaluate models using both market and unstructured data, working closely with traders and researchers to translate insights into actionable signals.

You will take models from notebook to production, optimizing for latency and robustness, while staying current with the ML landscape.

Qualifications

• Strong grounding in ML fundamentals and modern architectures.
• Experience with transformers or related models.
• Proficient in Python and/or C++ in production code.
• Experience taking models from notebook to production with latency considerations.
• Familiar with distributed training, HPC, or GPU optimization.

Responsibilities

• Design, train, and evaluate ML models to extract signals from market data.
• Collaborate with traders and researchers to address real constraints.
• Deploy models to production, focusing on latency and robustness.
• Stay current with ML research and bring useful findings.
• Contribute to shared infrastructure and workflows.

Skills

ML fundamentals

Transformers

Python

C++

PyTorch

TensorFlow

JAX

Production code

Distributed training

GPU optimisation

HPC environments

Markets awareness

Tools

PyTorch

TensorFlow

JAX

CUDA

ROCm

Job description

Westren Capital in London seeks a Machine Learning Researcher to advance research at the intersection of quantitative finance and ML. You will design and evaluate models using both market and unstructured data, working closely with traders and researchers to translate insights into actionable signals.

You will take models from notebook to production, optimizing for latency and robustness, while staying current with the ML landscape.