← Topics Speakers / Topics / Machine learning Machine learning speakers in Europe, verified 293 people who demonstrably gave a talk on Machine learning at a European event —
most recently active first, every talk linked to its public agenda.
Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Use Case 10 - From Wrong Parts to Right Revenue: AI-Driven Spare Parts Identification in Manufacturing” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Closing D1: El Ecosistema de IA de Cataluña: Cooperación, Talento y Soluciones de Valor Real” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
NL
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Use Case 6 - When Every AI Company Sounds the Same: How to Build and Prove Real Differentiation” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Closing D1: El Ecosistema de IA de Cataluña: Cooperación, Talento y Soluciones de Valor Real” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Closing D1: El Ecosistema de IA de Cataluña: Cooperación, Talento y Soluciones de Valor Real” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Use Case 6 - When Every AI Company Sounds the Same: How to Build and Prove Real Differentiation” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Closing D1: El Ecosistema de IA de Cataluña: Cooperación, Talento y Soluciones de Valor Real” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 “Closing D1: El Ecosistema de IA de Cataluña: Cooperación, Talento y Soluciones de Valor Real” · AI Summit Barcelona 2026 · Sept 2026 source · aisummitbarcelona.com ↗ Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 Took a stage in ES
last spoke Sept 2026 CT Cheuk Ting Ho After having a career in Data Scientist and Developer Relations, Cheuk dedicated her work to the ope
“Do you know how well your model is doing? Evaluate your LLMs” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 7 talks before it
Took a stage in NL
GB
LT
GR
PL
CZ
last spoke Sept 2026 “Stop Early, Decide Smarter: Bayesian Sequential Testing for LLM Benchmarking” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Data First, Model Second: Three Strategies for Production Computer Vision” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
CZ
last spoke Sept 2026 “Data First, Model Second: Three Strategies for Production Computer Vision” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Deterministic Orchestration for ML Experiments with Coding Agents” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 4 talks before it
Took a stage in NL
DE
CZ
last spoke Sept 2026 “The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The A/B Testing Blind Spot: Solving the Opt-In Paradox with Randomized Encouragement and DoubleML” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “When one score is not enough: matching real-world groundwater time series at scale” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “Trillion-Token Pretraining: Building a Foundational Model for payment data” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Deterministic Orchestration for ML Experiments with Coding Agents” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 4 talks before it
Took a stage in NL
DE
CZ
last spoke Sept 2026 “Trillion-Token Pretraining: Building a Foundational Model for payment data” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 TN Thijs Nieuwdorp Thijs Nieuwdorp is the Lead Data Scientist at Xomnia in Amsterdam. His interest in the interaction between human and com
“The New Polars Engine That Tackles Megabyte to Terabyte Workloads” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
GB
last spoke Sept 2026 Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “A short tour of forgotten Machine Learning algorithms” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Your A/B Test Is Leaking: Practical Lessons in Measuring Network Effects” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “From LLMs to Agents and from words to actions” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
GB
last spoke Sept 2026 JJ Jeroen Janssens Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, im
“The modern tool builder: CLIs, agents, and PEP 723” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
GB
last spoke Sept 2026 JB Jodie Burchell Dr. Jodie Burchell is the Developer Advocate in Data Science at JetBrains, and was previously a Lead
“Reliable, rigorous, wrong: A psychometric view of LLM evals” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in NL
CZ
last spoke Sept 2026 “The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Embed First, Predict Later: Energy forecasting from weather embeddings” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 KT Konstantinos Tsoumas Konstantinos is a data scientist currently working at Mars with over 3,5 years of experience in the Data Science industr
“Maybe 3 Minutes, Maybe Chaos – when Conformal Prediction meets my commuting life” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in NL
last spoke Sept 2026 “The Context Trap: Addressing Item Neglect and Calibration in Deep Point-Wise Rankers” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Beyond the Holdout: Mitigating Censoring Bias with Asymmetric IPW” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 Took a stage in NL
GB
LT
FR
last spoke Sept 2026 “Distilling LLMs into Classical ML for 5,000+ Classes” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Scaling Two-Way Fixed Effects Models in Python with pyfixest: Lessons from Airline Pricing” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “The unreasonable effectiveness of DAS: ML on fiber-optic vibration data for rail monitoring” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ Took a stage in NL
last spoke Sept 2026 “Cold Start at Scale: Three Years of Experiments in a Travel Marketplace” · PyData Amsterdam 2026 · Sept 2026 source · pretalx.com ↗ and 3 talks before it
Took a stage in NL
CZ
GB
DE
last spoke Sept 2026 CC Cedric Clyburn Cedric Clyburn (@cedricclyburn), Senior Developer Advocate at Red Hat, is an enthusiastic software d
“What Can LLMs Do with Messy Residential Electrification Data?” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
BE
last spoke Jun 2026 IM Ines Montani Ines Montani is a developer specializing in tools for AI and NLP technology. She’s the co-founder and CEO of Explosion a
Took a stage in GB
DE
last spoke Jun 2026 Took a stage in GB
last spoke Jun 2026 MB Maksym Bilychenko I am a Data Science Leader dedicated to turning complex data into commercial momentum. Over the past
“Surviving (and Thriving) as a Data Professional in the Age of AI Agents” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in GB
last spoke Jun 2026 SJ Sam Joseph I am a Senior Software Engineer & AI Specialist at DRW, a proprietary trading firm. I was previous
“Python Leadership and Engineering Excellence BoF” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 2 talks before it
Took a stage in GB
last spoke Jun 2026 CF Chris Fonnesbeck Chris is a Principal Quantitative Analyst at PyMC Labs and an Adjoint Associate Professor at the Van
Took a stage in GB
last spoke Jun 2026 OA Oriol Abril Pla Oriol is a computational statistician, working as a maintainer of the ArviZ and PyMC libraries and a
Took a stage in GB
last spoke Jun 2026 RL Rachel Lee Nabors Rachel-Lee Nabors spent the better part of their career on web standards and opensource and has spea
Took a stage in GB
last spoke Jun 2026 SP Sofia Pinto Sofia is a principal data scientist at Nesta, working with the sustainable future mission team on de
“Mapping the local heat transition: from large-scale geospatial data to real-world impact” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
last spoke Jun 2026 AT Abby Tse Abby Tse is Chair of PyData NYC, where she has led a community of over 8,000 data professionals sinc
“Learn to Unlock Document Intelligence with Open-Source AI” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ Took a stage in GB
last spoke Jun 2026 CC Carol Chen Carol Chen is a Community Architect at Red Hat, having led several upstream communities including In
“Learn to Unlock Document Intelligence with Open-Source AI” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
BE
last spoke Jun 2026 “Learn to Unlock Document Intelligence with Open-Source AI” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 1 talk before it
Took a stage in GB
NL
last spoke Jun 2026 NR Nick Radcliffe Nick Radcliffe has used Python since around 2005 (starting with Python 2.1, in the form of Jython) a
Took a stage in GB
last spoke Jun 2026 SC Samuel Colvin Hi, I'm Samuel. I'm a Python and Rust developer from London. I'm best known for creating Pydantic -
“Keynote: Samuel Colvin: Pydantic Monty & Logfire: Wild LLMs, from tool calling to computer use” · PyData London 2026 · Jun 2026 source · pretalx.com ↗ and 3 talks before it
Took a stage in GB
CZ
last spoke Jun 2026 Took a stage in AT
last spoke May 2026 Took a stage in AT
last spoke May 2026 Took a stage in AT
last spoke May 2026 Took a stage in SE
last spoke May 2026 HH Holger Hoos Alexander von Humboldt Professor of Artificial Intelligence and Director of the AI Center, RWTH Aachen University
Took a stage in DE
last spoke May 2026 Took a stage in CZ
last spoke May 2026 Took a stage in CZ
last spoke May 2026 “Building Proprietary Transformers at Scale: The Good, The Bad, and The AWS Bill” · Machine Learning Prague 2026 · May 2026 source · mlprague.com ↗ Took a stage in CZ
last spoke May 2026 “Building SOTA Text and Multimodal Embedding Models” · Machine Learning Prague 2026 · May 2026 source · mlprague.com ↗ Took a stage in CZ
last spoke May 2026 “From Sports Stats to AI Safety: The Ranking Renaissance” · PyCon Lithuania 2026 · Apr 2026 source · pretalx.com ↗ Took a stage in LT
last spoke Apr 2026 Took a stage in LT
last spoke Apr 2026 KJ Katharine Jarmul Building Privacy-first Data and AI/ML Systems, Products and Platforms
Took a stage in LT
DK
DE
last spoke Apr 2026 “Beyond SHAP: Diagnosing Vector Embeddings with Visual Explainable AI” · PyCon Lithuania 2026 · Apr 2026 source · pretalx.com ↗ Took a stage in LT
last spoke Apr 2026 “Behind Every Instant Loan Is Data Science: How Python Scorecards Decide Credit Risk” · PyCon Lithuania 2026 · Apr 2026 source · pretalx.com ↗ Took a stage in LT
last spoke Apr 2026 Took a stage in CH
last spoke Feb 2026 Took a stage in CH
last spoke Feb 2026 Took a stage in BE
last spoke Jan 2026 Took a stage in AT
CZ
last spoke Oct 2025 “Robótica accesible con Python y un patito de goma: de lo básico al aprendizaje por inteligencia artificial” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in ES
last spoke Oct 2025 “Robótica accesible con Python y un patito de goma: de lo básico al aprendizaje por inteligencia artificial” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in ES
last spoke Oct 2025 Took a stage in ES
last spoke Oct 2025 “Get the right price using AI: Revealing the secrets of controversial dynamic pricing.” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in ES
last spoke Oct 2025 MT Marcelo Trylesinski Marcelo is known as The FastAPI Expert. He is Brazilian, and is currently leaving in the Netherlands
“Generative AI Monitoring with PydanticAI and Logfire” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ and 1 talk before it
Took a stage in ES
CZ
last spoke Oct 2025 “Get the right price using AI: Revealing the secrets of controversial dynamic pricing.” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in ES
last spoke Oct 2025 “El tiempo es oro, aprovéchalo con modelos de supervivencia en Python” · PyConES 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in ES
last spoke Oct 2025 “From Neural Networks to Digital Brains: The Next Leap in AI” · GOTO Copenhagen 2025 · Oct 2025 source · gotocph.com ↗ Took a stage in DK
last spoke Oct 2025 Took a stage in DK
last spoke Oct 2025 “Move beyond academia: Introducing an industry-first tabular benchmark” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Oct 2025 “torchFastText: Modernizing Text Classification at Insee with PyTorch-based models” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Oct 2025 GL Guillaume Lemaitre I have a PhD in computer science and have been a scikit-learn and imbalanced-learn core developer since 2017. I am curre
“Skrub: machine learning for dataframes” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ and 4 talks before it
Took a stage in FR
PL
DE
last spoke Oct 2025 “Skrub: machine learning for dataframes” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ and 1 talk before it
Took a stage in FR
PL
last spoke Oct 2025 “Move beyond academia: Introducing an industry-first tabular benchmark” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Oct 2025 “torchFastText: Modernizing Text Classification at Insee with PyTorch-based models” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Oct 2025 OG Olivier Grisel Olivier is an Open Source Fellow at probabl and a core contributor to the scikit-learn machine learning library.
“Probabilistic regression models: let's compare different modeling strategies and discuss how to evaluate them” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ and 2 talks before it
Took a stage in FR
PL
last spoke Oct 2025 “Skrub: machine learning for dataframes” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ and 1 talk before it
Took a stage in FR
PL
last spoke Oct 2025 “Machine Learning in the Browser: Fast Iteration with ONNX & WebAssembly” · PyData Paris 2025 · Oct 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Oct 2025 Took a stage in FR
last spoke Oct 2025 “Unlock the full predictive power of your multi-table data” · PyData Paris 2025 · Sept 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Sept 2025 “Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation” · PyData Paris 2025 · Sept 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Sept 2025 “Unlock the full predictive power of your multi-table data” · PyData Paris 2025 · Sept 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Sept 2025 “Tackling Domain Shift with SKADA: A Hands-On Guide to Domain Adaptation” · PyData Paris 2025 · Sept 2025 source · pretalx.com ↗ Took a stage in FR
last spoke Sept 2025 Iv Inge van den Ende At Dexter Energy, Inge, a data scientist, is developing machine learning-powered products for short-term power trading o
“Kickstart Your Probabilistic Forecasting with Level Set and Quantile Regression Forests” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 “Composable Pipelines for ML: Automating Feature Engineering with Hopsworks’ Brewer” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ and 1 talk before it
Took a stage in NL
DE
last spoke Sept 2025 MM Manolis Manousogiannis Manolis Manousogiannis is a Senior Data Engineer in Eneco's Energy Trading team, specializing in distributed data proces
“Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 ML Miguel Leite I’m an ML Scientist fighting fraud at Adyen. I also help implementing software engineering best practices in ML projects
“Declarative Feature Engineering: Bridging Spark and Flink with a Unified DSL” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 PE Pablo Estevez Pablo Estevez leads Data and Machine Learning in Eneco’s Energy Trading teams. For more than ten years he has worked acr
“Data that Keeps Our Energy in Balance - From churn prediction with deep learning to real-time trading systems” · PyData Amsterdam 2025 · Sept 2025 source · cfp.pydata.org ↗ Took a stage in NL
last spoke Sept 2025 SR Shimanto Rahman Hi, I am Shimanto Rahman a PhD student at Ghent University. In my PhD I specialize in measuring machine learning models
“Optimize the Right Thing: Cost-Sensitive Classification in Practice” · PyData Amsterdam 2025 · Sept 2025