MAY32027

Machine Learning Prague 2027

by Machine Learning Prague

conferenceHybridUpcomingStarts in 8 months

Practitioner ML & AI conference with a hands-on workshop day — Prague, May 3-5, 2027

May 3–5, 2027·O2 Universum Conference Center, Prague, Czech Republic·800+ attendees·Paid
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THE DAILY BRIEF
MAY32027
Machine Learning Prague 2027

by Machine Learning Prague

conferenceHybridupcoming

Practitioner ML & AI conference with a hands-on workshop day — Prague, May 3-5, 2027

About This Event

Machine Learning Prague 2027 is the 12th edition of an international practitioner conference on machine learning and AI applications, held May 3-5, 2027 at the O2 Universum Conference Center in Prague, Czech Republic, and online. Day one is ten in-person, hands-on workshops that are not streamed; days two and three are conference talks from about 45 international speakers, with 800+ attendees expected. Its stated aim is to teach how ML tools are built rather than simply how to use them, bridging the applied and academic worlds. The first confirmed 2027 talks cover the hopes and limits of AI alignment (Jan Romportl, Elin.ai), making Qwen faster (Ondrej Platek, Bottlecap AI) and OpenEuroLLM, Europe's transparent foundation-model effort (Jan Hajič, Charles University).

At a Glance

Date
May 3–5, 2027
Location
O2 Universum Conference Center, Prague, Czech Republic
Format
Hybrid
Event Type
Conference
Status
Upcoming
Expected Attendance
800+
Pricing
Paid
Organizer
Machine Learning Prague
Added
Sep 18, 2026
Updated
Sep 18, 2026

Topics & Focus Areas

Large language modelsLLM inference optimizationAI agentsRecommender systemsComputer visionProduction ML and MLOpsAI alignmentCausal inferenceEuropean foundation models

Who Should Attend

  • ML engineers
  • Data scientists
  • Heads of data and AI
  • ML researchers
  • AI engineering managers
  • CTOs of AI startups

Organizer

M

Machine Learning Prague

mlprague.com/

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About This Event

Machine Learning Prague 2027 is the 12th edition of an international practitioner conference on machine learning and AI applications, held May 3-5, 2027 at the O2 Universum Conference Center in Prague, Czech Republic, and online. Day one is ten in-person, hands-on workshops that are not streamed; days two and three are conference talks from about 45 international speakers, with 800+ attendees expected. Its stated aim is to teach how ML tools are built rather than simply how to use them, bridging the applied and academic worlds. The first confirmed 2027 talks cover the hopes and limits of AI alignment (Jan Romportl, Elin.ai), making Qwen faster (Ondrej Platek, Bottlecap AI) and OpenEuroLLM, Europe's transparent foundation-model effort (Jan Hajič, Charles University).

Key Dates & Deadlines

  • Workshop proposal deadline

At a Glance

Date
May 3–5, 2027
Location
O2 Universum Conference Center, Prague, Czech Republic
Format
Hybrid
Event Type
Conference
Status
Upcoming
Expected Attendance
800+
Pricing
Paid
Organizer
Machine Learning Prague
Added
Sep 18, 2026
Updated
Sep 18, 2026

Topics & Focus Areas

Large language modelsLLM inference optimizationAI agentsRecommender systemsComputer visionProduction ML and MLOpsAI alignmentCausal inferenceEuropean foundation models

Who Should Attend

  • ML engineers
  • Data scientists
  • Heads of data and AI
  • ML researchers
  • AI engineering managers
  • CTOs of AI startups

Why Attend

For ML engineering managers and heads of data, ML Prague is a low-cost way to put engineers in front of production problems: the 2026 programme ran workshops on fine-tuning LLMs, resilient large-scale training on SageMaker HyperPod and causal inference, and talks on why models fail after deployment, LLM performance optimization and moving from RAG to enterprise AI agents, from speakers at Meta, NVIDIA, Red Hat, Barclays and Amazon. A full early-bird pass costs €490 + VAT.

Event Features

  • Workshop day (May 3): ten hands-on workshops, in person only
  • Two conference days (May 4-5) of talks, also available online
  • Confirmed talk: 'Hopes and Limits of AI Alignment' — Jan Romportl, Elin.ai
  • Confirmed talk: 'Making Qwen Faster with ThinkingCap' — Ondrej Platek, Bottlecap AI
  • Confirmed talk: 'OpenEuroLLM: foundation models for transparent AI in Europe' — Jan Hajič, Charles University
  • Open call for workshop proposals
  • Networking and drinks with speakers

What Makes This Unique

  • Practitioner focus by design: the organizers say the goal is learning how ML tools are built, not how to use existing ones
  • A full day of ten in-person, hands-on workshops ahead of the two conference days
  • Inexpensive for three days: full early-bird access is €490 + VAT, conference-only €290 + VAT
  • Industry-heavy speaker mix — the 2026 programme drew speakers from Meta, NVIDIA, Amazon, Red Hat, Barclays and CERN alongside academia

Featured Speakers From

Elin.aiBottlecap AICharles University

Industries Represented

TechnologyFinancial ServicesRetail & E-commerceResearch

Event Scale

45
Speakers

Pricing Details

Early bird (limited quantity): conference only (days 2-3) €290 + VAT; workshops only (day 1) €230 + VAT; full access €490 + VAT; virtual conference €190 + VAT. Standard: conference only €320 + VAT; full package €540 + VAT.

Organizer

M

Machine Learning Prague

mlprague.com/

Frequently Asked

When is Machine Learning Prague 2027?
Machine Learning Prague 2027 takes place May 3–5, 2027 in Prague, Czech Republic.
Where is Machine Learning Prague 2027 held?
Machine Learning Prague 2027 is held in Prague, Czech Republic. The event format is hybrid.
What is the Machine Learning Prague 2027 submission deadline?
The next Machine Learning Prague 2027 deadline is workshop proposal deadline on Oct 15, 2026.
How much does Machine Learning Prague 2027 cost?
Machine Learning Prague 2027 is paid. Early bird (limited quantity): conference only (days 2-3) €290 + VAT; workshops only (day 1) €230 + VAT; full access €490 + VAT; virtual conference €190 + VAT. Standard: conference only €320 + VAT; full package €540 + VAT.
Who should attend Machine Learning Prague 2027?
Machine Learning Prague 2027 is aimed at ML engineers, Data scientists, Heads of data and AI, ML researchers, AI engineering managers, CTOs of AI startups.
What topics does Machine Learning Prague 2027 cover?
Machine Learning Prague 2027 covers Large language models, LLM inference optimization, AI agents, Recommender systems, Computer vision, Production ML and MLOps, AI alignment, Causal inference, European foundation models.

Sources

This page was written from 3 sources, 1 on domains other than mlprague.com.

  1. 1.mlprague.commlprague.comvendor
  2. 2.mlprague.comprague2026vendor
  3. 3.meetup.commachine learning prague
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