Software Engineer (Machine Learning)

Faculty is a pioneering AI company that transforms organizational performance through safe and human-centric AI solutions. With over a decade of experience serving 300+ global customers, Faculty combines software, bespoke AI consultancy, and an award-winning Fellowship programme. The role focuses on designing and deploying production-grade software and MLOps systems in the Energy Transition and Environment space. As a Machine Learning Engineer, you'll work in cross-functional teams, building scalable ML systems and infrastructure while mentoring others. The position requires expertise in ML frameworks, cloud architecture, and software engineering best practices. You'll lead project scoping, provide technical expertise to customers, and help shape Faculty's approach to operationalizing ML software. The ideal candidate combines technical prowess with strong communication skills and thrives in a dynamic startup environment. Faculty offers a unique professional challenge, surrounding you with brilliant minds working on cutting-edge AI applications. The company values scientific thinking, pragmatic problem-solving, and continuous improvement.