What we're about

The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines.

We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers.

Join us every week for a live virtual meetup, Wednesdays at 5 PM UK, 9 AM PT, where top experts share what they’ve learned running pipelines for organizations bigs and small. We’re also firing up “coffee sessions” where we dive deep on the emerging stack of ML tools and platform.

You can also check out our Slack that’s filled with a tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Find the solutions you need. Share, learn and grow with us, as we work to bring standardization to the chaotic world of MLOps.

Upcoming events (1)

Trustworthy Data for Machine Learning

Online event

MLOps community meetup #94! On February 9, we will be talking to Chad Sanderson, Head of Product, Data Platform of Convoy, about Trustworthy Data for Machine Learning.

// Register at:

// Abstract:
The most common challenge for ML teams operating at scale is data quality.

In this talk, Chad will discuss how Convoy invested in a large-scale data quality effort to treat data as an API and provide a data change management surface to enable trustworthy machine learning.

// Bio:
Chad Sanderson is the Product Lead for Convoy's Data Platform team, which includes the data warehouse, streaming, BI & visualization, experimentation, machine learning, and data discovery.

Chad has built everything from feature stores, experimentation platforms, metrics layers, streaming platforms, analytics tools, data discovery systems, and workflow development platforms. He’s implemented open source, SaaS products (early and late-stage) and has built cutting-edge technology from the ground up. Chad loves the data space, and if you're interested in chatting about it with him, don't hesitate to reach out.

// Final thoughts
Please feel free to drop some questions you may have beforehand into our slack channel (https://go.mlops.community/slack)
Watch some old meetups on our youtube channel:

Past events (69)

Building and Using an MLOps Stack with ZenML

Online event

Photos (102)