Machine Learning Engineer Intern

G--researc; Greater London; On-site; GBP 17,000 - 23,000; Full time

Benefits offered by this job

Lunch provided (Just Eat for Business)

30 days’ annual leave

Pension 9%

Healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Job summary

G--researc in London seeks exceptional machine learning students for a 12-week summer internship, working with world-class researchers on cutting-edge ML problems. You’ll join the Technical Machine Learning team to tackle challenging research questions, implement ideas, and develop/optimize models using Python, PyTorch and NumPy in a collaborative environment.

Dates: 28 June 2027 – 17 September 2027, Working hours: 09:00–17:30.

Qualifications

• Current undergraduate, master's or PhD student in machine learning or a related discipline.
• Strong OO programming with Python, PyTorch and NumPy is desirable.
• Experience in optimisation methods, modern ML techniques, HPC, profiling or model inference is a plus.

Responsibilities

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

Skills

Python

PyTorch

NumPy

Object-oriented programming

ML reasoning

Communication

Education

Undergraduate/Master's/PhD student in ML or related discipline

Tools

Profiling tools

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

Dates: 28th June 2027 - 17th September 2027
Working hours: 09:00 - 17:30

We are looking for exceptional machine learning students to join our world-class technology teams for a 12- week summer internship, working alongside quantitative researchers on cutting-edge machine learning problems.

As an intern 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 machine learning 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 interns 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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