Senior MLOps Engineer β€” Edge AI & Inference Platform

Senior MLOps Engineer β€” Edge AI & Inference Platform

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Own edge deployment pipelines and ensure reliable operation across thousands of devices.
  • Company: Join United States Digital Space LLC, a leader in innovative tech solutions.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and scalability.
  • Why this job: Make an impact in the exciting field of Edge AI and collaborate with top talent.
  • Qualifications: Experience in MLOps and a passion for cutting-edge technology.

The predicted salary is between 72000 - 88000 Β£ per year.

United States Digital Space LLC is hiring a Senior MLOps Engineer for the Hardware Group in London/Barcelona, with remote options for the UK and Spain.

You will own edge deployment pipelines, compile trained models into efficient inference engines, and ensure reliable operation across thousands of devices.

You will collaborate with Data Scientists, Embedded Engineers and Product managers to deliver scalable, low-latency edge AI features.

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Senior MLOps Engineer β€” Edge AI & Inference Platform employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior MLOps Engineer β€” Edge AI & Inference Platform

MLOps
Edge Deployment Pipelines
Model Compilation
Inference Engines
Device Reliability
Collaboration with Data Scientists
Collaboration with Embedded Engineers