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 infrastructureExperience building and maintaining training and inference infrastructureUnderstanding of moving models from concept to productionStrong experience in model training and mathematical concepts, e.g., linear algebra, choice of loss functions, regularization techniques, model architecture, optimizer, learning rate schedulesThorough understanding of Python tools and libraries, with the ability to advise on best practicesExperience with Jax, TensorFlow, or similar ML frameworks is a plusBenefits:Market-leading salariesGenerous benefits including health, mental health, holiday entitlement, parental leave, retirement plans, private on-site gymFocus on learning and development with tuition reimbursementRecreation spaces with breakfast, lunch, snacks, and treatsWhilst we carefully review all applications, due to high volume, we may not respond to unsuccessful candidates.ContactTo apply or for more information, please contact:Maia Ellismaia.ellis@oxfordknight.co.uk020 3745 6539linkedin.com/in/maia-ellis-38a577193Welcome to Oxford Knight! We are dedicated international recruiters assisting leading technologists and finance professionals into high-end roles.

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