Senior ML Platform & Infra Lead

Senior ML Platform & Infra Lead

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design and evolution of our ML platform, ensuring secure and observable systems.
  • Company: Join iProov, a leader in innovative ML solutions with a collaborative culture.
  • Benefits: Negotiable salary, bonuses, share options, and a hybrid work model.
  • Other info: Work in a dynamic environment with opportunities for professional growth.
  • Why this job: Make a real impact by building scalable ML foundations and mentoring future engineers.
  • Qualifications: Experience in ML infrastructure, platform engineering, and MLOps is essential.

The predicted salary is between 70000 - 90000 Β£ per year.

iProov seeks a Senior ML Infrastructure Lead to build and scale production ML foundations across ML infra, platform engineering and MLOps. The role is hybrid, based at WeWork Waterloo, reporting to the Chief Scientific Officer, with negotiable compensation plus bonus and share options.

You will lead design and evolution of our ML platform, building secure, observable systems for model training, deployment and lifecycle management, while mentoring engineers and aligning with cross-functional teams.

Senior ML Platform & Infra Lead employer: Energy Jobline ZR

World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.

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Contact Details:

Energy Jobline ZR Recruitment Team

We think you need these skills to ace Senior ML Platform & Infra Lead

Machine Learning Infrastructure
Platform Engineering
MLOps
System Design
Model Training
Deployment Management
Lifecycle Management