Direct message the job poster from AAA Global

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

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

Were 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, youll thrive in a collaborative environment that values curiosity, precision, and innovation.

Experience, Ability And Knowledge:

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

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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