Explore key learnings and recommendations from a 4-year MLOps journey at Roche's pharmaceutical research and early development (pRED) business unit in this 31-minute conference talk. Discover how the organization addressed the increasing demand for operationalizing Machine Learning models while facing challenges in the fragmented and volatile MLOps landscape. Learn about sustainable strategies for serving a diverse range of users and use cases with varying requirements, technological literacy, and data modalities. Gain insights into the selection and maintenance of MLOps tools, and understand the pressures faced by IT departments in delivering end-to-end, scalable solutions. Hear perspectives on the future of MLOps in pharmaceutical research organizations and gather valuable takeaways for implementing MLOps in enterprise settings.