Machine Learning Engineer Intern

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’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career.

Dates: 28th June 2027 - 17th September 2027

Working hours:

09:00 - 17:30.

We are looking for exceptional machine learning students to join our world-class technology teams for a 12-week summer internship, working alongside quantitative researchers on cutting-edge machine learning problems.

As an intern within the Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions. You will also use a combination of off-the-shelf tools and custom solutions written from scratch to drive the latest advances in quantitative research.

• Implementing ideas from published research papers
• Writing custom libraries to efficiently train models on petabytes of data
• Reducing model training times by hand optimising machine learning operations
• Profiling custom machine learning architectures to identify performance bottlenecks
• Evaluating the latest hardware and software in the machine learning ecosystem

We are looking for interns that will be comfortable working both independently and in small teams on a variety of engineering challenges, with a particular focus on machine learning and scientific computing.

• A current undergraduate, master's or PhD student in machine learning or a related discipline
• Strong object-oriented programming skills and experience working with Python, PyTorch and Num Py are desirable
• Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you don't need to have all of the above
• Excellent machine learning reasoning skills, with the ability to develop your own models when standard approaches are insufficient
• Strong communication and collaboration skills, with the ability to work effectively in a team with complementary expertise
• Finance experience is not necessary for this role and candidates from non-financial backgrounds are encouraged to apply.

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days' annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle-to-work scheme
• Monthly company events

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

At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.