Overview
ML Conference Munich 2026 is a five-day hybrid event focused on machine learning innovation, generative AI, and machine learning engineering. It brings together professionals interested in building and applying machine learning systems, including engineers, data scientists, technical leaders, and people working with AI products and strategy. Attendees can participate in person in Munich or remotely. The program combines conference sessions and keynotes with hands-on workshops and bootcamps, offering both technical learning and opportunities to exchange ideas with other machine learning practitioners.
The event is scheduled for June 22–26, 2026, at the Holiday Inn Munich City Centre, Hochstraße 3, 81669 Munich, Germany. The venue is above Rosenheimer Platz S-Bahn station, with connections across the city. The page describes the hotel as a short walk from the Deutsches Museum and notes that it has meeting rooms for events. Remote attendance is also offered through an online conference platform.
Schedule and program
The week opens on Monday, June 22, with bootcamps. Tuesday, June 23, is listed for bootcamps and workshops, including the AI Product Strategy Day. The main conference takes place Wednesday and Thursday, June 24–25, with sessions, a keynote, and an expo. Friday, June 26, is a workshop day. The event page describes the overall experience as five full days of workshops, bootcamps, sessions, and keynotes.
Listed bootcamp options include Vibe Coding and GenAI Development, covering two days, and the ML Fundamentals Bootcamp, also scheduled across June 22–23. Additional bootcamp listings include Agentic Engineering and AI-assisted architecture. Tuesday’s workshops include an LLM Product Workshop and The Augmented Engineer Workshop, alongside the strategy day. Friday workshops include an ML System Production workshop, a technical deep dive into the Model Context Protocol (MCP), and tooling and patterns for AI-powered applications. The page lists workshop trainers including John Davies, David Schmidig, Pascal Wyler, Dr. Pieter Buteneers, Rainer Stropek, Rabieh Fashwall, and Apurva Misra.
Topics and audience
Conference tracks include Generative AI and agents, MLOps and LLMOps, multimodal AI, AI developer tools, and AI strategy, organization, and governance. The event also emphasizes practical engineering: understanding data, optimizing models, moving AI projects from prototypes toward production, and applying machine learning in business. A two-day GenAI bootcamp is highlighted for engineers working with agentic AI, retrieval-augmented generation (RAG), tool-driven systems, and production-grade AI patterns. The page advertises more than 40 speakers and opportunities to network with machine learning experts.
Format and attendance
Participants can select on-site or remote tickets, with options for different combinations of conference, workshop, and bootcamp days. Some passes allow attendees to choose particular conference or workshop days. The page also advertises access to session recordings and devmio learning resources with certain ticket options. A Munich-specific FAQ page is linked for further information about timings and the on-site and online experience.
