Senior Machine Learning Engineer

Polaron, an innovative spin-out from Imperial College London, is seeking a Senior Machine Learning Engineer to join their team of nine. Founded by Dr Isaac Squires, Dr Steve Kench, and Dr Sam Cooper, Polaron aims to revolutionize the intersection of AI and materials science. The company is building a SaaS product that enables materials engineers to leverage cutting-edge AI in their work.

As a Senior ML Engineer, you'll have significant autonomy and influence over the platform's development and direction. The role involves optimizing algorithms for material characterization and adapting advanced ML methods for material science applications. The position offers a competitive salary range of £85,000-130,000, depending on experience.

The company operates primarily from their East London office in Shoreditch Exchange Hoxton, with a flexible hybrid working arrangement (typically 4 days in office, 1 day WFH). They use modern technologies including Python/PyTorch for ML, TypeScript with React/Next.js for frontend, and robust infrastructure tools like Docker and Kubernetes.

The ideal candidate should have 2+ years of experience with production-level code for computer vision applications, strong technical communication skills, and a degree in a relevant field (PhD preferred). The role offers excellent benefits including equity, 25 holidays plus 2 festive leave days, gym membership, and other perks.

The interview process is thorough yet collaborative, including an initial video call, technical pairing exercise, and a paid trial day, demonstrating the company's commitment to finding the right cultural and technical fit. This is an excellent opportunity for a senior ML engineer looking to make a significant impact in a growing company at the forefront of materials science innovation.