Senior ML Ops Engineer β€” Model Release & Delivery in London

Senior ML Ops Engineer β€” Model Release & Delivery in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Define release gates and oversee model validation for ML projects.
  • Company: Wayve, a pioneering company in machine learning technology.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a cutting-edge team and shape the future of AI delivery.
  • Qualifications: Experience in ML Ops and strong problem-solving skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Wayve is seeking a Staff Machine Learning Engineer (Ops/Release) in London to define and enforce release gates across training stages.

You will oversee validation before advancing to the next phase and ensure the integrity of model baselines on deployment.

You’ll drive ML delivery pipelines, review releases for quality and safety, identify bottlenecks, and partner with AI Platform, CI/CD, and evaluation teams to evolve tooling and methodologies.

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Senior ML Ops Engineer β€” Model Release & Delivery in London employer: EngineersOfAI

At Behavox, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through tailored development opportunities and a collaborative environment that encourages creativity and strategic thinking. Located in a vibrant hub of technology and finance, we offer unique advantages such as exposure to cutting-edge AI solutions and the chance to lead transformative projects that shape the future of our global finance function.

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Contact Details:

EngineersOfAI Recruitment Team

We think you need these skills to ace Senior ML Ops Engineer β€” Model Release & Delivery in London

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