Graduate Machine Learning Engineer

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

As part of our engineering team youll 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.

Start date: Tuesday 31st August 2027

We are looking for exceptional graduate machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems.

As a graduatewithin 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 ML architectures to identify performance bottlenecks
• Evaluating the latest hardware and software in the machine learning ecosystem

We are looking for graduates 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 masters 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 dont 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 (viaJust 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