Senior ML Systems Engineer β€” Infra & Distributed Training

Senior ML Systems Engineer β€” Infra & Distributed Training

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Exec Assignments Ltd

At a Glance

  • Tasks: Manage and enhance machine learning systems using Python and frameworks like PyTorch and Ray.
  • Company: Exec Assignments Ltd, a forward-thinking company in the heart of London.
  • Benefits: Attractive salary, equity options, and a hybrid work model.
  • Other info: Exciting opportunities for career growth in a collaborative environment.
  • Why this job: Join a dynamic team and shape the future of ML infrastructure.
  • Qualifications: Experience in distributed training and managing multimodal data pipelines.

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

Exec Assignments Ltd is seeking a Senior ML Systems Engineer in London to manage the full stack of machine learning systems. This hybrid role offers an attractive salary and equity, focusing on building and improving ML infrastructure with Python and frameworks like PyTorch and Ray.

The ideal candidate will have experience in distributed training, production inference, and managing large multimodal data pipelines.

Senior ML Systems Engineer β€” Infra & Distributed Training employer: Exec Assignments Ltd

Exec Assignments Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving field of machine learning. Our competitive salary packages, equity options, and commitment to work-life balance make us an attractive choice for those seeking meaningful and rewarding careers.

Exec Assignments Ltd

Contact Details:

Exec Assignments Ltd Recruitment Team

We think you need these skills to ace Senior ML Systems Engineer β€” Infra & Distributed Training

Machine Learning Systems Management
Python
PyTorch
Ray
Distributed Training
Production Inference
Large Multimodal Data Pipelines