Conf42 MLOps 2026

About

Conf42 MLOps is a single-day online conference on the operational side of machine learning, part of the Conf42 series of free remote technical events for software and data practitioners. The discipline sits between data science and platform engineering, and the conference addresses the problems that live in that gap: reproducible training pipelines, feature stores, model versioning and registries, deployment and serving infrastructure, drift detection and monitoring, and the cost management of inference at scale. Sessions increasingly cover the operational demands of large language model systems alongside conventional model workloads. Speakers are drawn from teams running machine learning in production rather than from research groups, keeping the emphasis on what breaks and how teams recover. The fully remote format removes travel and ticketing barriers, and recorded sessions remain accessible after the live day for attendees across time zones. For machine learning engineers, data platform teams and DevOps practitioners responsible for models in production, this online MLOps conference offers a concentrated survey of current tooling and operational practice.