Isomorphic Labs is seeking an engineer to own ML workload scheduling on Kubernetes, optimizing dynamic batch inference and large-scale training runs. You will design scalable scheduling systems, write custom controllers, and collaborate with ML researchers to maximize hardware utilization and accelerate AI-driven drug discovery.
The role requires deep Kubernetes expertise, strong Python or Go skills, and hands-on experience with cloud infrastructure and HPC-style workloads.
ML Scheduler Engineer: Kubernetes & GPU/TPU Orchestration in City of Westminster employer: Isomorphic Labs
Isomorphic Labs is an exceptional employer, fostering a collaborative and innovative culture that empowers employees to contribute to groundbreaking advancements in drug discovery through AI. With a strong commitment to employee growth, the company offers opportunities for continuous learning and development while working in a vibrant London location that encourages creativity and teamwork. Join us to be part of a mission-driven team dedicated to making a real impact on global health, all within a supportive and inclusive environment.
