Machine Learning Engineer- World-Leading Prop Trading Fund | London, UK

Machine Learning Engineer - World-Leading Prop Trading Fund

Summary:
Fantastic opportunity to work at a tech-centric prop trading fund which trades a wide range of financial products, with offices across the globe. Looking for a pragmatic ML Engineer with strong mathematical foundations to join their growing ML team and help drive the direction of the ML platform.

In this role, you'll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it's neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making, choosing the right tool for the problem. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

The ideal candidate will be passionate about the craft of software engineering, who enjoys designing APIs and systems that colleagues love to use. If you also have a great appetite for learning new things, this role is for you!

Requirements:

• Solid mathematical background, plus experience with ML techniques and infrastructure
• Experience building and maintaining training and inference infrastructure
• Understanding of moving models from concept to production
• Strong experience in model training and mathematical concepts, e.g., linear algebra, choice of loss functions, regularization techniques, model architecture, optimizer, learning rate schedules
• Thorough understanding of Python tools and libraries, with the ability to advise on best practices
• Experience with Jax, TensorFlow, or similar ML frameworks is a plus

Benefits:

• Market-leading salaries
• Generous benefits including health, mental health, holiday entitlement, parental leave, retirement plans, private on-site gym
• Focus on learning and development with tuition reimbursement
• Recreation spaces with breakfast, lunch, snacks, and treats

Whilst we carefully review all applications, due to high volume, we may not respond to unsuccessful candidates.

Contact

To apply or for more information, please contact:

Maia Ellis

linkedin.com/in/maia-ellis-38a577193

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