
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
| Publishes | Twice weekly | Episodes | 482 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Thanks to Prosus Group for collaborating on the Agents in Production Virtual Conference 2025.
Abstract //
The discussion centers on highly technical yet practical themes, such as the use of advanced post-training techniques like Direct Preference O... more
Ricky Doar is the VP of Solutions at Cursor, where he leads forward-deployed engineers. A seasoned product and technical leader with over a decade of experience in developer tools and data platforms, Ricky previously served as VP of Field Engineering... more
Dr. Jure Leskovec is the Chief Scientist at Kumo.AI and a Stanford professor, working on relational foundation models and graph-transformer systems that bring enterprise databases into the foundation-model era.
Relational Foundation Models: Unlockin... more
Jeff Huber is the CEO of Chroma, working on context engineering and building reliable retrieval infrastructure for AI systems.
Context Engineering, Context Rot, & Agentic Search with the CEO of Chroma, Jeff Huber // MLOps Podcast #348.
Join the C... more
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Anything you want to learn, understand about AI, ML and Data Science this is the place to be!
No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!
🤓The best hosts you can think of. Data professionals with emotional intelligence.
Super guests and great topics.
🌍On top there’s a world spanning network of Meetup groups!
You need to listen to this if you are in the data space
There is so much MLOps stuff in this podcast that it fascinates me as to how I didn’t know about MLOps prior to 2021. MLops is basically cloud native ML engineering a.k.a “let us reinvent the ML wheel every year”. Design choices aren’t easy in the MLops world and this podcast gives your the right context to hone in your decision muscle
An intergalactic journey into the furthest frontiers of MLOps, delivered with the friendly warmth of hot cocoa on a cozy winter day. Demetrios and crew tackle the gnarliest problems in the field while making room for fun, laugh-filled conversations. Great show for constant learning, and don't sleep on the slack group!
Key themes from listener reviews, highlighting what works and what could be improved about the show.
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Apple Podcasts | #245 | |
Apple Podcasts | #82 | |
Apple Podcasts | #238 |
Recent interactions between the hosts and their guests.
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Conversations center around practical aspects of deploying machine learning and artificial intelligence systems in various contexts, from traditional machine learning methods to emerging concepts like AI agents and large language models. The episodes often feature industry professionals sharing insights on challenges faced in real-world applications, evaluating AI models, and enhancing productivity through innovative tools. Noteworthy is the community-driven approach and emphasis on making complex technical discussions accessible, catering to both practitioners and those who are eager to understand the fast-evolving landscape of AI and machine learning deployments.
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These podcasts share a similar audience with MLOps.community:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Practical AI
3. No Priors: Artificial Intelligence | Technology | Startups
4. Training Data
5. Machine Learning Street Talk (MLST)
MLOps.community launched 6 years ago and published 482 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on MLOps.community include:
1. Team Member
2. Jukka Remes
3. David Hershey
4. Krishna Sridhar
5. Lauren Kaplan
6. Erica Greene
7. Matar Haller
8. Shaun Wei
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