Graduate Machine Learning Engineer 2027

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

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

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

Relocation Support

If you're relocating from within the UK or internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. Costs associated with your relocation and immigration are covered by G-Research.

• Concierge service: Your personal consultant will arrange travel, help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
• Immigration support: We'll partner you with an expert consultant who will guide you through the immigration process.

Location: London

Interview process

• Online Application: Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.
• Stage One: Technical Interview: You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.
• Stage Two: Behavioural Interview: We will set aside technical skills and focus on you.
• Stage Three: Further Technical Interviews: Here, we will take a deeper dive into your technical skills and competencies.
• Stage Four: Management Interviews: The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.

About the Company

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.

How to apply

To apply for this role and to find out more, please click on the apply button. Please note that applications may close before the application deadline, so apply early to avoid disappointment.