Senior ML Platform Lead for Real-Time Production

Senior ML Platform Lead for Real-Time Production

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Global Payments Inc.

At a Glance

  • Tasks: Lead the development and operations of high-profile ML products in a dynamic payments environment.
  • Company: Global Payments Inc., a leader in innovative payment solutions.
  • Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Join a collaborative team focused on innovation and excellence.
  • Why this job: Shape the future of payments with cutting-edge machine learning technology.
  • Qualifications: Proven experience in ML software engineering and strong leadership skills.

The predicted salary is between 80000 - 100000 Β£ per year.

Global Payments Inc. seeks an experienced ML Software Engineering Lead to serve as the technical and functional leader for the Data Science Enablement engineering function, owning production development and operations of high-profile ML products in a payments-focused environment.

The role balances hands-on engineering with strategic direction, guiding architecture, code reviews, platform improvements, and collaboration with data science, security, infrastructure, and business stakeholders.

Senior ML Platform Lead for Real-Time Production employer: Global Payments Inc.

Join a leading global payments company that prioritises employee growth and development, offering first-class training to ensure your success in the field. With a dynamic work culture that fosters collaboration and innovation, you'll have the opportunity to build meaningful relationships while exceeding sales targets and earning a competitive income. Located in Stockport, our inclusive team is dedicated to empowering each other and driving excellence in the ever-evolving world of commerce.

Global Payments Inc.

Contact Details:

Global Payments Inc. Recruitment Team

We think you need these skills to ace Senior ML Platform Lead for Real-Time Production

Machine Learning
Software Engineering
Technical Leadership
Production Development
Operations Management
Architecture Design
Code Review