ML Infrastructure Engineer - GPUs/TPU, Kubernetes, Cloud in London

ML Infrastructure Engineer - GPUs/TPU, Kubernetes, Cloud in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Lead GPU/TPU strategy and design scalable infrastructure for ML workloads.
  • Company: Isomorphic Labs, a cutting-edge tech company in London.
  • Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative culture with cross-functional teams and exciting projects.
  • Why this job: Join a team making waves in biotech with innovative machine learning solutions.
  • Qualifications: Experience with GPUs/TPUs, Kubernetes, and cloud platforms.

The predicted salary is between 60000 - 80000 Β£ per year.

Isomorphic Labs in London is seeking a Software Engineer (Technical Infrastructure) to lead the end-to-end GPU/TPU strategy, design scalable infrastructure, and optimise performance for ML workloads. You will collaborate with SRE, biotech researchers, and cross-functional teams to ensure reliable deployments, cost-effective hardware, and secure, scalable cloud platforms in a hybrid work setting.

ML Infrastructure Engineer - GPUs/TPU, Kubernetes, Cloud in London employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace ML Infrastructure Engineer - GPUs/TPU, Kubernetes, Cloud in London

Python
SQL
Data Engineering
Problem-Solving Skills
Data Pipeline Development
API Integration
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