Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready to discuss ML fundamentals, careful software design, and how you turn ambiguous technical problems into models and code. Review Jane Street’s public engineering themes (e.g. Incremental) and recent firm news for context, not as interview scripts.
Strong fit if you want rigorous, systems-heavy ML work at a quant trading firm in London and can operate on-site. Thin public review data means culture fit should be validated in the interview process itself.
As a Machine Learning Engineer at Jane Street in London, expect to frame trading or systems problems mathematically, design and implement models/software, and align work with managers and peers on priorities—aligned with O*NET tasks for this occupation (15-1221.00).
No—the listing marks remote as off; the location is London.
Analyzing problems, building software/systems, mathematical modeling, and coordinating with stakeholders (O*NET).
freeCodeCamp and Saylor are free; CS50 and Microsoft Learn are free to learn (see skills list).
Public-domain labor data — prepare examples for 2–3 of these.
Website: janestreet.com
Public cache only — not an employee review.
Machine Learning Engineer at Janestreet in London Role Overview We are seeking an experienced Machine Learning Engineer to join our dynamic team and contribute to the development of our cutting-edge ML platform. As a critical pillar of Jane Street's global business, you will play a pivotal role in driving innovation through advanced machine learning techniques. Day-to-Day Responsibilities Your responsibilities will include: Building and maintaining training and inference pipelines for our trading environment. Applying various ML approaches such as neural networks, random forests, gradient-boosted trees, and ensemble methods to solve complex problems. Enhancing research workflows to optimize feedback cycles. Understanding the mechanics behind different modeling techniques and breaking down their mathematical foundations. Skills & Qualifications We are looking for someone with: Rigorous experience in machine learning, including a strong mathematical foundation. A deep understanding of various ML approaches and the ability to select the right tool for specific problems. The capability to design APIs and systems that are user-friendly and efficient. More About Janestreet At Jane Street, our ever-evolving trading environment provides a unique platform for rapid ML experimentation. We value individuals with a curious mind and a passion for solving challenging problems. Our team is composed of engineers who share a love for the craft of software engineering. Next Steps If you meet these requirements, we’d love to have you join our team. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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