MachineLearningModellingEngineer

Join Optiver to accelerate your growth in the most fascinating and dynamic industry. As a Machine Learning Modelling Engineer, you’ll get to leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment, and apply your advanced degree in a highly impactful role. You will still use your brain to come up with cutting-edge ideas, but instead of working in the abstract you'll make innovations that change the world as soon as you implement them - which often is as quick as the next day! We also believe the best ideas come from working together, so you'll be solving problems as part of a team from day one. This means you'll get instant feedback on all of your lightbulb moments, as well as support and guidance to be at your best. Turn your passion for machine learning into a rewarding career with Optiver. Apply now. WHAT YOU’LL WORK ON: We are seeking an exceptional machine learning modelling engineer. The ideal candidate will have an advanced understanding of neural networks and related machine learning technologies, with experience in implementing and training complex deep learning models. As part of your role, you’ll get to: Leverage on-prem infrastructure to solve substantial challenges in computational and data scale. Drive experimental rigour through repeatable processes on assured data. Collaborate closely with researchers and traders on new experiments, capabilities, and data sources. Design and implement improvements to optimise research productivity and quality. WHAT YOU'LL NEED: A Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning. Deep understanding of the principles, theories, and concepts underlying machine learning and deep learning technologies, including the design and implementation of neural networks. Proven experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Strong programming skills in Python, familiar with da