Graduate Machine Learning Engineer

Job Title: Graduate Machine Learning Engineer Company: G-Research Job Category: Machine Learning Roles & Responsibilities: 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. ### Role purpose ### 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 Work Location: London, ENG, UK Availability: Full time

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. 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, graduating in 2027 * 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 * 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 Key Skills: Machine Learning, Python, PyTorch, NumPy, Model Training Salary: Not disclosed