MLCon Berlin 2026

Five-day ML engineering conference at Maritim ProArte Hotel Berlin, 16-20 November. Main conference 18-19 November with GenAI, MLOps/LLMOps and AI strategy tracks; bootcamps 16-17 November; workshops 17 and 20 November. 40+ speakers, 2,500+ attendees (per organiser). Early bird from €1,709.

DATES
16-20 November 2026
VENUE
Maritim ProArte Hotel Berlin
ORGANISER
devmio (devm.io)
ATTENDANCE
2,500+ (self-reported)

Definition

MLCon Berlin 2026 is a five-day machine learning engineering conference at the Maritim ProArte Hotel in Berlin, running 16-20 November. It is organised by devmio (devm.io). The main conference runs 18-19 November, with bootcamps on 16-17 November and workshops on 17 and 20 November. The programme covers generative AI and agents, MLOps and LLMOps, machine learning and deep learning, AI strategy and governance, AI developer tools and ML fundamentals. The organiser reports 40+ speakers and 2,500+ attendees (self-reported). The event is hybrid.

What MLCon covers

MLCon is built for ML engineers and the teams around them. Content moves from ML fundamentals through to production concerns: generative AI and agents, MLOps and LLMOps, deep learning, AI developer tools, and the strategy and governance questions that come with running ML at scale. The hybrid format and recording access extend the content beyond the in-person days.

Who attends MLCon Berlin

What the MLCon programme covers

The five-day schedule

Bootcamps run on 16-17 November, the main conference on 18-19 November, and workshops on 17 and 20 November. The organiser reports 40+ speakers. Tickets include access to the devmio platform and six months of recording access.

FAQ · Identity and audience

Who organises MLCon Berlin 2026?

MLCon is organised by devmio (devm.io) and held at the Maritim ProArte Hotel in Berlin.

How many people attend?

The organiser reports 2,500+ attendees (self-reported) and 40+ speakers.

What is included with a ticket?

Tickets include access to the devmio platform and six months of recording access, in addition to the in-person sessions.

Who is MLCon NOT designed for?
  • Attendees with no involvement in machine learning or AI engineering
  • General business audiences seeking a non-technical event
  • Those looking only for a peer-reviewed academic research track

The venue: Maritim ProArte Hotel Berlin

MLCon is held at the Maritim ProArte Hotel in central Berlin, on Friedrichstrasse. The hotel provides a conference setting for the five-day schedule.

The organiser: devmio (devm.io)

devmio organises MLCon as a recurring machine learning engineering conference, coordinating the multi-day schedule, the speaker programme and the platform and recording access bundled with tickets.

Editorial take

MLCon Berlin is a five-day ML engineering conference at Maritim ProArte: main conference 18-19 November with GenAI, MLOps/LLMOps and AI strategy tracks, plus bootcamps and workshops for 2,500+ practitioners (per organiser).

How to register and what it costs

All prices exclude VAT. The All Access 5-day ticket is 1,709 euros early bird (until 6 August), rising to 2,299 euros standard. The 3-day ticket is 1,079 euros early bird and 1,799 euros standard; the 2-day ticket is 859 euros early bird and 1,199 euros standard; the workshop or strategy day is 539 euros early bird. A 10 percent team discount applies for groups of three or more. Tickets include the devmio platform and six months of recording access.

FAQ · Access and practicalities

How do I reach the venue?

The Maritim ProArte Hotel is in central Berlin on Friedrichstrasse, served by the city's S-Bahn and U-Bahn. Berlin is served by Berlin Brandenburg Airport (BER).

When does early bird end?

Early bird pricing runs until 6 August across the ticket tiers. All prices exclude VAT.

Is the event in-person or hybrid?

MLCon is hybrid. Tickets include access to the devmio platform and six months of recording access.

Resources

Official website not captured in this record
Register not captured in this record
Programme 40+ speakers, GenAI / MLOps / AI strategy tracks