MLcon Berlin 2026

MLcon Berlin runs November 16–20, 2026, with bootcamps, workshops and conference sessions on AI engineering, machine learning and production systems.

  • Dates Nov 16-20, 2026
  • Location Berlin, Germany and online
  • Organizer S&S Media
About MLcon Berlin 2026

MLcon Berlin 2026 takes place November 16–20 at the Maritim proArte Hotel Berlin, with online participation also offered. The overall date range includes several formats: bootcamps on November 16–17, workshop days on November 17 and 20, and the main conference and expo on November 18–19. An AI Product Validation Day is scheduled for November 17.

From Experiments to Production Systems

The program covers AI engineering, machine learning operations, agent systems and practical deployment. Sessions address the infrastructure and development methods behind AI applications, including multimodal tools, evaluation and governance. The mix of talks and hands-on formats lets attendees choose between an overview of current practices and deeper work on specific techniques.

The announced lineup includes AI platform architect Cansu Kavili-Örnek, AI engineer Kersten Döring, data scientist Sinda Khenine and Google product manager Michael Hablich. Other speakers bring experience in APIs, multi-agent systems and machine learning applications. Use the Berlin program to match speakers and sessions to the dates covered by your pass.

Choosing a Pass and Finding the Venue

The ticket page distinguishes attendance options and additional learning formats. Confirm whether bootcamps or workshops are included before booking; the full event date range does not imply that every ticket provides five days of access.

The conference hotel is at Friedrichstraße 151 / Dorotheenstraße 65, 10117 Berlin. The organizer’s location guide and the hotel’s own directions provide arrival information. The city photograph in this listing shows Brandenburg Gate rather than the hotel.

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Speakers
Cansu Kavili-Örnek

Cansu Kavili-Örnek

Principal AI Platform Architect

Kersten Döring

Kersten Döring

Senior AI Engineer

Michal Harakal

Michal Harakal

Machine Learning Engineer

Sinda Khenine

Sinda Khenine

Senior Data Scientist

Apurva Misra

Apurva Misra

Machine Learning Engineer and AI Systems Architect

Michael Hablich

Michael Hablich

Product Manager, Google; Chrome DevTools and Puppeteer

Matthias Biehl

Matthias Biehl

API Innovation Strategist and Author

Nick Malozemov

Nick Malozemov

Frontier AI Research Engineer, specializing in multi-agent AI and agent memory

Johanna Wachsmann

Johanna Wachsmann

Machine Learning Engineer, Receipt Data NLP