Machine Learning Research Internship

Machine Learning Research Internship

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to 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 - in the heart of Central London and home to our Research Lab.

The role

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

Over the course of 10 weeks, G-Research Summer Research Programme interns gain a 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 an applied setting, putting their expertise to use in direct, 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 have the opportunity to experience some of this as part of a 10-week programme working on a meaningful and challenging research project that demands the application of innovative yet pragmatic mathematical and computational analysis.

You will be paired with a mentor who will supervise your work and provide ongoing feedback to help you improve and develop, as well as access to senior staff who are leaders in their fields. Your internship will culminate in a final presentation of your research ideas to senior management.

Taking part in G-Research's Summer Internship Programme will give you an in-depth insight into our academic approach to the world of quantitative finance and allow you to explore the thriving city of London, while you get to know your fellow interns and colleagues through a full itinerary of fun social events.

Top performers on the programme will be considered for full-time opportunities on completion of their studies.

Who are we looking for?

• A post-graduate degree in Machine Learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle. PhD level study is preferred
• Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference
• Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work with our data, so you will need to understand how to develop your own models
• Strong programming skills and experience working with Python, scikit-learn, SciPy, NumPy, Pandas and Jupyter
• Previous experience in finance is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here.

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 5 stations and 6 tube lines

Location: London

Interview process

• Stage One: Online Quant QuizYou will be asked to complete one of two quant quizzes; either a general quantitative aptitude assessment, or an ML specific one, depending on your background. Recommended reading
• Stage Two: Technical InterviewsTypically, you will sit four interviews, one of which will focus on in-depth technical questions in mathematics. Each interview will last one hour.If your profile is better suited to ML, you’ll complete two one-hour interviews, which will focus on your ML knowledge, but do expect to answer questions on mathematics, programming and stats that are relevant to the ML space as well!
• Stage Three: Leadership InterviewsFollowing the successful completion of the technical interviews, you will meet some of our leaders.
• Online ApplicationQuick and easy: We will ask for your CV/resume and a few personal details like your education and contact information. Our Talent Acquisition team will review your application to see if you are a good fit and you will receive an update on the status of your application within one week of applying.

What our people say

• "What I like the most about my job is it’s super open. I’m able to work with a lot of folks from other teams, too, such as working closely with engineers and other quantitative researchers." – Yang, Quantitative Researcher
• "There was a lot I didn't know about G-Research, so I gained insights from those who interviewed me. They all came across as intelligent, curious and interested in exploring problems from different angles. I figured if people like this enjoy their jobs then I most certainly will." – Leon, Quantitative Research Manager
• "The two biggest things that I like about working at G-Research are the smart and incredibly friendly colleagues, as well as being able to strike a really good work-life balance, in contrast to a lot of the finance industry." – Fabian, Senior Quantitative Researcher
• "My team and I have access to a wide range of training opportunities, which allowed us to get the entire team AWS certified within a quarter. We’re actively working on the latest AI and machine learning projects to stay ahead of industry standards." – Willy, Data Services Manager
• "The problems we solve are often novel in nature, meaning we get to solve the previously unsolved. I find this to be a great way to stay challenged and engaged!" – Gabriel, Software Engineer
• "The friendly, collaborative atmosphere here is a breath of fresh air and a perfect fit for me." – Yoga, Software Engineering Manager
• "The willingness to collaborate between both teams and functions has made the transition into my new role as easy as possible." – Garrett, Software Engineer
• "It’s a privilege to be in a place where my curiosity is nurtured and my learning journey is supported!" – Michael, Software Engineer
• "The best thing about working at G-Research is being around such smart people, it motivates you to always want to grow and learn." – Joshua, Platform Engineer
• "G-Research makes a lot of effort to have a very open culture and gives a lot of freedom to its individual researchers to pursue directions that they think are valuable, with each researcher very much driving their own research. I didn’t feel like I was losing a lot of freedom compared to academia." – Sebastian, Senior Quantitative Researcher
• "My role focuses on finding signals in real-world data and in many ways, it feels like a continuation of my PhD; I’m looking at unexplored problems and I choose which ones to focus on." – Clement, Senior Quantitative Researcher

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.