ML Researcher for Trading AI & Systems

TU Berlin; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Jane Street in London is seeking smart and curious individuals to join our growing ML team and drive our machine learning work powering trading strategies. You’ll build deep learning models, train on a scalable GPU cluster, and collaborate with researchers, engineers, and traders to deploy models in production.

You’ll apply a wide range of approaches—from LLMs to RL and classical ML—while shaping the future of ML at Jane Street.

Qualifications

• Practical experience working on empirical ML problems.
• Ability to apply logical and mathematical thinking to problems.
• Intellectual curiosity and excitement about state-of-the-art research across ML domains.
• Fluency with a versatile set of models and tricks.
• Hands-on coding skills in Python and ML frameworks.

Responsibilities

• Train deep learning models powering trading strategies.
• Collaborate with researchers, engineers, and traders to deploy models in production.
• Explore novel ML techniques and tune training performance at scale.
• Contribute to hiring, conferences, and knowledge sharing within the team.

Skills

Practical ML experience

Logical thinking

Intellectual curiosity

Diverse ML models

Python coding

Learning mindset

English fluency

Tools

Python

ML frameworks

Job description

Jane Street in London is seeking smart and curious individuals to join our growing ML team and drive our machine learning work powering trading strategies. You’ll build deep learning models, train on a scalable GPU cluster, and collaborate with researchers, engineers, and traders to deploy models in production.

You’ll apply a wide range of approaches—from LLMs to RL and classical ML—while shaping the future of ML at Jane Street.