JUN12026

MLcon San Diego 2026

by MLcon

In-PersonUpcomingStarts in 3 weeks

Machine Learning for Developers and Engineers

June 1–5, 2026·TBD, San Diego, CA, USA·600+ attendees·Paid
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THE DAILY BRIEF

JUN12026

MLcon San Diego 2026

by MLcon

In-Personupcoming

Machine Learning for Developers and Engineers

About This Event

Machine Learning conference for developers and engineers. Hands-on workshops, technical deep-dives, and production ML best practices.

At a Glance

Date
June 1–5, 2026
Location
TBD, San Diego, CA, USA
Format
In-Person
Status
Upcoming
Expected Attendance
600+
Pricing
Paid
Organizer
MLcon

Topics & Focus Areas

Machine LearningMLOpsProduction ML

Who Should Attend

  • ML Engineers
  • Data Scientists
  • Developers

Organizer

M

MLcon

mlcon.com

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About This Event

Machine Learning conference for developers and engineers. Hands-on workshops, technical deep-dives, and production ML best practices.

At a Glance

Date
June 1–5, 2026
Location
TBD, San Diego, CA, USA
Format
In-Person
Status
Upcoming
Expected Attendance
600+
Pricing
Paid
Organizer
MLcon

Topics & Focus Areas

Machine LearningMLOpsProduction ML

Who Should Attend

  • ML Engineers
  • Data Scientists
  • Developers

Why Attend

MLcon San Diego is a hands-on machine learning conference for engineers building production ML systems. Unlike academic conferences, MLcon focuses on MLOps, model deployment, and operationalizing ML at scale. Features workshops on model monitoring, drift detection, and production reliability. Ideal for ML engineers transitioning from research to production environments.

Event Features

  • MLOps and deployment workshops
  • Model monitoring strategies
  • Drift detection techniques
  • Production reliability patterns
  • CI/CD for ML pipelines
  • Feature store implementations
  • Model serving architectures
  • Hands-on technical labs

What Makes This Unique

  • Production ML focus
  • Hands-on workshop format
  • MLOps emphasis
  • Engineer audience (not data scientists)
  • Multi-day immersive format

Featured Speakers From

MLOps VendorsEnterprise ML Teams

Industries Represented

ML EngineeringData PlatformsDevOps

Event Scale

40+
Speakers

Organizer

M
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