We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
We are G-Research
We are a leading quantitative research and technology firm.
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.
Role purpose
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 graduate 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.
Key responsibilities of the role include:
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
Who are we looking for?
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, 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.
Why join us?
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
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