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Machine Learning Engineer

  • Company: Janestreet
  • Location: London, UK, UK
  • Salary: Pay not listed
  • Full Time
  • Company site
  • Map
  • Pay not listed

Janestreet at a glance

janestreet.com
  • Founded 2013

Jane Street (janestreet.com) is a quantitative trading firm whose public profile includes engineering work such as the Incremental library discussed on Hacker News, plus recent coverage of its role in AI and markets (e.g. WSJ).

Machine Learning Engineer at Janestreet in London, UK, UK

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.

Apply on company site

You’ll finish your application on the employer’s website. We don’t ask for a resume on this page.

What people say about Janestreet

Available signals are technical, not workplace reviews: multiple Hacker News threads on Jane Street’s Incremental library (example discussion). No Glassdoor/Indeed-style ratings are in the data.

Recent news

Aggregated from public discussions and news; opinions are the authors’ own.

Working in London, UK, UK

Weather right now in London, UK, UK: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:

Role is in-office in London, UK (not remote). London, UK is the UK capital on the River Thames, with about 9.1 million residents and a large metro area—see England for national context.

England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and

  • Elevation 18m (59 ft)

Source: Wikipedia (state)

About this role & career path

Typical ML engineering work here blends research-style analysis with production software: modeling hard problems, applying new techniques, and shipping reliable systems in a trading environment.

Traits that fit this role

  • Innovation
  • Adaptability
  • Perseverance
  • Achievement Orientation
  • Intellectual Curiosity

Source: O*NET Work Styles (Distinctiveness Rank).

Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET

Industry news

Source: O*NET (public-domain bulk data)

Salary & compensation

Workers in Computer & Mathematical occupations earn a national median of $98,769via US Census ACS / Data USA

Build the skills for this role

Free & low-cost learning resources

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, UK and can operate on-site. Thin public review data means culture fit should be validated in the interview process itself.

Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

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Listing facts

  • Role Machine Learning Engineer
  • Employer Janestreet
  • Location London, UK, UK
  • Type Full Time
  • Pay (from listing) Pay not listed
  • Posted August 2, 2026
  • Apply by September 1, 2026
  • Overview Full job description on this page (246 words)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Machine Learning Engineer

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
  • Assign or schedule tasks to meet work priorities and goals.
  • Meet with managers, vendors, and others to solicit cooperation and resolve problems.
  • Design computers and the software that runs them.
  • Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.

Source: O*NET

Public discussions & open sources

Attributed public threads and profiles — not employee reviews or star ratings.

Cached public sources (Hacker News, Dev.to, GitHub, etc.).

Employer website

janestreet.com

Explore related openings

6 other opening(s) at Janestreet on Get A Job.AI

Occupation family: Machine Learning Engineer

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Machine Learning Engineer Janestreet · London, UK