Back to jobs

Graduate Machine Learning Researcher - London

London, United Kingdom

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.
Read the full posting
Apply at Imc
Education & alternatives
- Currently in your final year of study, graduating in 2027 - A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field - Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field

Tools in this posting

  • PyTorch
  • Python
Source — Tool mentions in context
- Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field - Proficiency in fundamental ML frameworks like Pytorch and experience in Python - Solid understanding of statistics

About Imc

A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors.

In the employer’s words · Read in context

Job description

View original posting ↗

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.

Your Core Responsibilities:

  • Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production

  • Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability

  • Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments

  • Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments

  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Your Skills and Experience:

  • Currently in your final year of study, graduating in 2027

  • A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field

  • Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field

  • Proficiency in fundamental ML frameworks like Pytorch and experience in Python

  • Solid understanding of statistics

  • Desirable: publications in respected journals covering deep learning or time-series modeling

  • No prior finance knowledge or experience required

  • Ability to commence full-time employment in February or August 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in August 2027. We encourage you to focus on enhancing your skillset before reapplying.

Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing CampusEU@imc.com. If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: CampusEU@imc.com.

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected 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, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

This passage needs a closer read in the full description.

Status in our records
Active
First seen by us
Jul 6, 2026
Recorded sightings
84
Last seen by us
Sep 26, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.