Machine Learning Engineer Internship

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.

What does the technical machine learning team work on?

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.

The ideal candidate will have the following skills and experience:

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 NumPy 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