Time since we first saw it
Day 81
Up longer than most. Similar jobs usually come down between day 6 and day 68.
From 4,292 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer
London, England, United Kingdom
Live, first seen by us 81 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Summer Internship
From the employer’s posting
What you’ll work on
Full postingBuild and experiment on real-world ML projects the firm needs done
Work on projects designed and mentored by full-time employees
Apply ML techniques to noisy financial data using a large GPU cluster
From the employer’s posting
collaborating with you on real-world ML projects we actually need done
you'll work on projects mentored closely by the full-time employees who designed them
You will get access to our growing GPU cluster containing thousands of H100/H200/B200s
What you’ll bring
All qualificationsCore experience
- Undergraduate, postgraduate or PhD student
- Practical experience training an ML model, working on an ML library, or optimising an ML workflow
- Top-notch programmer
- Fluent in English
Qualification wording
An undergraduate, postgraduate or PhD student
practical experience training an ML model, working on an ML library, or optimising an ML workflow
A top-notch programmer with a love for technology
Fluent in English
Education & alternatives
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be: - An undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow - A top-notch programmer with a love for technology
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 15, 202681 days ago
- Recorded sightings
- 74
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Jane Street is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
Your next step
Check the employer’s posting for the current role and application details.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Jane Street posted this job before?
Yes. We’ve followed one other Machine Learning Engineer job there since July 2026. It is still up.
Job description
About the Position
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques.
Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning page.
During the programme, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.
The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills.
Learn more about Jane Street's internship programme here.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:
- An undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising an ML workflow
- A top-notch programmer with a love for technology
- Intellectually curious, collaborative, and eager to learn
- Humble and unafraid to ask questions and admit mistakes
- Fluent in English
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, England, United Kingdom
During the programme, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. Learn more about Jane Street's internship programme here.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting