Graduate Machine Learning Engineer

Barlowe LLP; Greater London; On-site; GBP 40,000 - 65,000; Full time

Benefits offered by this job

Bonuses

Lunch provided

30 days annual leave

Pension 9%

Casual dress

Healthcare

Cycle-to-work

Monthly events

Job summary

G-Research in London invites exceptional graduate machine learning engineers to join the Technical Machine Learning team. You will work with Quant researchers on cutting-edge problems, building scalable tools and experimenting with new ideas to accelerate discovery.

As a graduate, you will combine off-the-shelf tools with custom solutions to push advances in quantitative research. A collaborative environment and opportunities for growth are core to our culture.

Qualifications

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

Responsibilities

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

Skills

OO programming

Python

PyTorch

NumPy

ML concepts

Communication & teamwork

Education

Undergraduate/ Master's/ PhD student in ML

Tools

Python

PyTorch

NumPy

HPC/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.

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

• 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?

• 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

At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.