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.
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Consider building your career as a ML Scheduler Engineer: Kubernetes & GPU/TPU Orchestration at Isomorphic Labs.
All applications are reviewed carefully by our team.
The position is based in City of Westminster, England, United Kingdom.
This opportunity is part of our work in IT & Technology.
The advertised compensation is 90.000 - 150.000.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.