Machine Learning Research Internship

About G-Research

G-Research is a leading quantitative research and technology firm with offices in London and Dallas. We employ some of the best people in their field and nurture their talent in a dynamic, flexible, and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office, opened in 2023, located in the heart of Central London and home to our Research Lab.

The Role

• 10-week summer programme (22nd June to 28th August 2026)
• Working hours: 09:00–17:30
• Based in Central London

Over the course of 10 weeks, G-Research Summer Research Programme interns gain unique insight into life as a Machine Learning (ML) practitioner at a leading quantitative finance research firm.

Our full-time ML researchers use a wide range of tools and techniques in applied settings, developing production-ready applications with immediate results. They have access to vast computing resources and are limited only by their imagination.

As an ML intern, you will work on a meaningful and challenging research project that requires innovative yet pragmatic mathematical and computational analysis.

You will be paired with a mentor who will supervise your work and provide ongoing feedback to support your development. You will also have access to senior staff who are leaders in their fields. The internship will culminate in a final presentation of your research ideas to senior management.

Participation in the Summer Internship Programme offers an in-depth insight into our academic approach to quantitative finance and the opportunity to explore London. You will also engage with fellow interns and colleagues through a full itinerary of social events.

Top performers will be considered for full-time opportunities upon completion of their studies.

Who Are We Looking For?

The ideal candidate will have experience in the following areas:

• A postgraduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data science competitions, such as Kaggle, will also be considered. PhD-level study is preferred.
• Experience in one or more of the following: deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, natural language processing (NLP), or approximate inference.
• Excellent reasoning skills and strong mathematical ability, as off-the-shelf methods often do not work with our data, requiring development of custom models.
• Strong programming skills and experience with Python, scikit-learn, SciPy, NumPy, Pandas, and Jupyter.

Previous experience in finance is not required, but an interest in finance and motivation to learn rapidly are essential.

Why Should You Apply?

• Highly competitive compensation plus accommodation
• G-Research community with weekly intern activities
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days’ annual leave, pro-rated
• Informal dress code and excellent work/life balance
• Central London office close to five stations and six tube lines

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and place great value on diversity of experience and opinions.

We strive to provide a recruitment experience that enables applicants to perform at their best. If you have a disability or special need requiring accommodation, please inform us in the relevant section.