Machine Learning Engineer Intern

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