Graduate Machine Learning Engineer

G-Research; Greater London; Hybrid; GBP 42,000 - 64,000; Full time

Benefits offered by this job

Annual discretionary bonus

Lunch provided

Barista bar

30 days annual leave

Pension contributions

Healthcare

Job summary

G-Research is seeking exceptional graduate machine learning engineers to work with quantitative researchers on cutting‑edge ML problems.

You will tackle tough research questions using off‑the‑shelf tools and custom solutions, applying ML to scale and accelerate discovery in finance. This role blends independent and team work in a Technical Machine Learning team.

Qualifications

• The candidate is and must be a current undergraduate, master's or PhD student in machine learning or related field.
• Strong object‑oriented programming skills with Python, PyTorch and NumPy desirable.
• Experience with advanced optimisation methods, ML techniques, HPC or profiling is a plus.

Responsibilities

• Implement ideas from published research papers.
• Write custom libraries to train models on large datasets.
• Reduce model training times by optimising ML operations.
• Profile ML architectures to identify bottlenecks.
• Evaluate latest hardware and software in the ML ecosystem.

Skills

Python

PyTorch

NumPy

Machine learning

Object‑oriented programming

Collaboration

Education

Undergraduate, master's or PhD student in machine learning or related discipline

Tools

Python

PyTorch

NumPy

Job description

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar

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.

Start date: Tuesday 31st August 2028

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.

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.

• 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

"Work culture is an important aspect for me, so when I was contacted by G-Research I discovered a company where I could grow as a developer, whilst feeling like the company valued me as a person, not just a code monkey."

What is it like working at a leading quantitative research and technology firm?

Watch our video

We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long‑term thinking. We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth. Discover where your curiosity could take you.

What our people say

Sokratis Software Engineer

"My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together."

""I was surprised by how much access I had to G-Research’s compute. I was able to run a significant number of jobs on the compute farm, similar to a full‑time researcher, which gave me the freedom to explore different ideas through experimentation.""

"What’s stood out is how much ownership I’ve had without ever feeling like I was on my own. I’ve been treated as part of the team, with people always happy to answer questions, discuss ideas or help when I need it."

"Sitting alongside experienced engineers means I can ask questions, discuss ideas and learn from how they approach their work."

Olivia Cyber Security First Response Intern

"I had the autonomy to lead mini‑projects, contribute to ongoing investigations and shape the outcome of technical workstreams."

"It’s nice to work on something useful, rather than just an intern project. I’ve had feedback from people saying they’ll use the app regularly, which is great to hear."

"The dashboards I’ve created are already being used and having a tangible impact, which I’ve found really rewarding."

"G‑Research gave me a unique experience where I'm surrounded by both very talented and very approachable people and where my contributions are impactful."

"I've felt very lucky to work with teams of people across the business who are generous with their time, knowledge and ideas as we collaborate to continuously build and rebuild complex systems with lots of moving parts."

"Before G‑Research I’d completed internships at a few companies whilst studying Computer Science at the University of York. Since joining, I’ve progressed from an intern to a graduate to an engineer, having worked on systems and technology core to the business my entire time."

"My favourite part of working at G‑Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together."

""I was surprised by how much access I had to G‑Research’s compute. I was able to run a significant number of jobs on the compute farm, similar to a full‑time researcher, which gave me the freedom to explore different ideas through experimentation.""

"What’s stood out is how much ownership I’ve had without ever feeling like I was on my own. I’ve been treated as part of the team, with people always happy to answer questions, discuss ideas or help when I need it."

"Sitting alongside experienced engineers means I can ask questions, discuss ideas and learn from how they approach their work."

Olivia Cyber Security First Response Intern

"I had the autonomy to lead mini‑projects, contribute to ongoing investigations and shape the outcome of technical workstreams."

"It’s nice to work on something useful, rather than just an intern project. I’ve had feedback from people saying they’ll use the app regularly, which is great to hear."

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.

Online Application

Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.