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- Tasks: Dive into machine learning research and tackle complex financial problems with innovative solutions.
- Company: Join G-Research, a leading quantitative finance research firm in London.
- Benefits: Competitive pay, accommodation, free lunches, and a vibrant intern community.
- Why this job: Gain hands-on experience in ML while working alongside world-class researchers in a dynamic environment.
- Qualifications: Post-graduate degree in ML or related field; strong programming skills in Python.
- Other info: Enjoy a fun social calendar and potential full-time opportunities after the internship.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we are building a world-class platform to amplify our teams' most powerful ideas. Join a research team where curiosity meets scale. You will investigate foundational questions, uncover market insights and push the boundaries of what is possible - all with the support of near-limitless compute and world-class peers.
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?
The ideal candidate will, at a minimum, have experience in the following areas:
- 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
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Machine Learning Research Internship in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Internship in London
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for standing out during the interview process.
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice solving problems on platforms like LeetCode or HackerRank to get comfortable with the types of questions you might face.
✨Tip Number 3
Show your passion for finance and machine learning! Be ready to discuss recent trends in the industry and how they relate to your work. This will demonstrate your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at G-Research.
We think you need these skills to ace Machine Learning Research Internship in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let your enthusiasm for machine learning shine through! Share any projects or competitions you've been involved in, like Kaggle, and explain what excites you about the field. We love seeing candidates who are genuinely curious and eager to learn.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this internship. Highlight relevant skills and experiences that align with the job description, especially in areas like deep learning or reinforcement learning. We want to see how your background fits into our world of quantitative finance!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate well-structured applications that make it easy for us to understand your qualifications and motivations.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures that your application gets to the right people quickly. Plus, it shows us that you're serious about joining our team at G-Research. We can't wait to see what you bring to the table!
How to prepare for a job interview at G-Research
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those mentioned in the job description like deep learning and reinforcement learning. Be ready to discuss your past projects or competitions, like Kaggle, and how they relate to the role.
✨Show Your Curiosity
This role is all about exploring complex problems, so demonstrate your curiosity during the interview. Ask insightful questions about their research projects and express your eagerness to learn from the team. It shows you're genuinely interested in the work they do.
✨Prepare for Technical Questions
Expect some technical questions that test your reasoning skills and mathematical ability. Practice explaining your thought process when developing models and be ready to tackle hypothetical scenarios related to quantitative finance.
✨Engage with Your Interviewers
Remember, interviews are a two-way street! Engage with your interviewers by sharing your ideas and thoughts on their work. This not only showcases your knowledge but also helps build rapport, making you a memorable candidate.
