Machine Learning Engineer (London)
New Yesterday
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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#J-18808-Ljbffr- Location:
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- Job Type:
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