Machine Learning Researcher / Machine Learning Engineer

• Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
• Excellent programming skills in Python and/or C++
• Experience developing and deploying production-grade machine learning systems
• A strong mathematical foundation and exceptional problem-solving ability
• A passion for solving technically demanding challenges in a fast-paced environment

The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.

I am working with one of the world’s leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.

As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.

The Opportunity

This is an opportunity to work alongside some of the industry’s leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.

Depending on your experience and interests, you may focus on areas including:

• Large Language Models (LLMs)
• Foundation model training and optimisation
• Agentic AI systems
• Applied machine learning research
• Model evaluation and post-training optimisation
• Distributed systems and AI infrastructure

You’ll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.