Graduate Machine Learning Engineer

gresearch; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Annual discretionary bonus

Lunch provided

30 days leave

Company pension

Healthcare

Career development

Job summary

G-Research is seeking exceptional graduate machine learning engineers to work with our quantitative researchers on cutting-edge problems at our London headquarters. You will contribute to scalable systems and libraries that accelerate discovery across the firm.

You'll join the Technical Machine Learning team, tackle challenging research questions, implement ideas from papers, and optimize training on massive datasets using both off-the-shelf tools and bespoke solutions.

Qualifications

• Current undergraduate, master's or PhD student in machine learning or a related discipline.
• Strong Python, PyTorch and NumPy programming skills.
• Experience with one or more advanced optimisation methods, HPC, profiling or model inference.
• Excellent ML reasoning with ability to develop own models when needed.
• Strong communication and collaboration skills.

Responsibilities

• 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.

Skills

Python

PyTorch

NumPy

Object-oriented programming

Machine learning

Advanced optimisation methods

HPC

Model inference

Communication

Collaboration

Education

Undergraduate/Master/PhD student in ML or related

Tools

PyTorch

NumPy

Python

Job description

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.

Role purpose

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 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

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