Senior ML Infrastructure Engineer – Scale & Deploy Platforms

Senior ML Infrastructure Engineer – Scale & Deploy Platforms

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build and support platforms for machine learning training and deployment.
  • Company: Atarus, a cutting-edge AI company in Greater London.
  • Benefits: Competitive salary, high ownership, and collaborative work environment.
  • Other info: Join a small, senior team with excellent career growth opportunities.
  • Why this job: Shape the future of AI while tackling exciting scaling challenges.
  • Qualifications: Solid software engineering background with Python and a systems language.

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

Atarus, a well-funded AI company in Greater London, is seeking engineers to build the platforms and services that support machine learning training and deployment.

Ideal candidates will have a solid software engineering background, particularly in production systems using Python and at least one systems language like C++, Java, or Go.

You will collaborate closely with machine learning teams, tackle complex scaling challenges, and play a key role in shaping the AI platform of the future.

Join a small, senior team and enjoy high ownership in your work.

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Senior ML Infrastructure Engineer – Scale & Deploy Platforms employer: Atarus

Atarus is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to take ownership of their projects. Located in the vibrant tech hub of Greater London, employees benefit from ample opportunities for professional growth and development, alongside competitive compensation and a supportive team environment. Join us to be at the forefront of AI technology, tackling exciting challenges while working with a talented group of professionals.

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Contact Details:

Atarus Recruitment Team

We think you need these skills to ace Senior ML Infrastructure Engineer – Scale & Deploy Platforms

Software Engineering
Python
C++
Java
Go
Machine Learning
Production Systems