Machine Learning Engineer

Location: London

Industry: Quantitative Finance / Machine Learning

Experience: Strong technical background in ML engineering

Employment Terms: Full-time

Compensation: Very Competitive

The Role – Machine Learning Engineer

A leading global trading and research firm is hiring a Machine Learning Engineer to join its growing ML function. This team plays a central role in designing and scaling a world-class machine learning platform that supports a variety of trading and research functions.

This is a highly technical role focused on building robust ML systems, improving feedback loops, and choosing the right tools for complex modelling challenges. The environment is fast-paced and experimentation-friendly, with a close integration between trading, research, and engineering.

Responsibilities And Priorities:

• Build and maintain high-performance infrastructure for model training and inference

• Enhance research workflows to improve experimentation speed and reliability

• Select and apply appropriate modelling approaches (neural nets, random forests, gradient boosting, etc.)

• Contribute to the design of tools and APIs that enable fast and reproducible research

• Collaborate closely with trading and research teams to align ML development with business needs

Requirements:

• Proven experience taking ML models from concept to production

• Strong mathematical background in optimisation, linear algebra, and regularisation techniques

• Expertise in ML frameworks (e.g., PyTorch, JAX, TensorFlow)

• Experience maintaining organised, reproducible ML research codebases

• Passion for staying current with the ML research landscape

• A curious and critical mindset, comfortable asking hard questions and challenging assumptions

• Fluency in English

The Profile – Your Expertise

We’re looking for individuals who combine deep ML engineering experience with strong analytical thinking and a passion for solving tough problems. Whether you come from tech, academia, or another applied field, you’ll thrive in a collaborative environment that values curiosity, precision, and innovation.

Experience, Ability And Knowledge:

• Experience building scalable ML infrastructure

• A deep interest in both the theoretical and practical sides of modelling

• A self-driven approach with attention to code quality and experimentation design

• Willingness to engage across disciplines to bring ideas to life

Who You Are, What We Need:

• Based in or willing to relocate to London

• Comfortable in an office-first culture

• Able to communicate ideas clearly across technical and non-technical teams

• Eager to work in an intellectually open, low-ego team

The Package

• Competitive compensation

• In-office role with a collaborative culture

• Chance to work on high-impact projects with real-world trading applications

• Opportunity to push the limits of applied ML in a unique environment