Managing production machine learning systems at scale has uncovered new challenges that have required fundamentally different approaches to that of traditional software engineering and data science. In this talk, Alejandro Saucedo, Engineering Director at Seldon provides key insights on MLOps, which often encompasses the concepts around monitoring, deployment, orchestration and continuous delivery for machine learning.