You will lead the Machine Learning Engineering sub-chapter, managing talent and setting technical standards for production-grade ML systems
Job Summary
You will lead the Machine Learning Engineering sub-chapter, managing talent and setting technical standards for production-grade ML systems.
The role requires owning and evolving the MLOps platform to ensure reliable, secure, and scalable model delivery across value streams.
This position offers the autonomy to shape the future of machine learning engineering while mentoring a high-performing team within a collaborative environment.
Matching Summary
You will lead the Machine Learning Engineering sub-chapter, managing talent and setting technical standards for production-grade ML systems.
Skills & Requirements
Must-have
Line management of Machine Learning Engineers
Production ML system deployment and monitoring
MLOps platform ownership and evolution
Strong Python with software engineering fundamentals
Cloud infrastructure experience (GCP, AWS, or Azure)
CI/CD pipelines and Infrastructure as Code
Nice-to-have
Insurance or financial services domain knowledge
Experience in Agile cross-functional squads
Ability to de-risk architectural decisions via spikes
Fostering psychological safety and engineering culture
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Proven line management experience
Senior/Lead level experience delivering production ML at scale