PyData London 2026 — the speakers, verified

London, United Kingdom · June 2026 · organized by PyData London / NumFOCUS

72 speakers below were extracted from the event's public agenda, and PyData London 2026 publishes its own site.

Who spoke, and about what

• 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 source
• 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? source
• Laura Summers — Lead Design Engineer at Pydantic
  • The Human-in-the-Loop is Tired source
• Marco Gorelli — Senior Software Engineer at Quansight Labs
  • The Polars vs SQL differences nobody is talking about source
• Luca Baggi — ML Engineer @xtream
  • Reading the Mind of an LLM source
• Özge Çinko — Hello world! 👋 I'm Özge Çinko. I'm currently an AI Engineer at ING, working around agentic AI. Befo
  • LLM-Based Recommendation Systems: From Embeddings to Real Personalization source
• Cheuk Ting Ho — After having a career in Data Scientist and Developer Relations, Cheuk dedicated her work to the ope
  • Unconference- Feminist AI source
  • Do you know how well your model is doing? Evaluate your LLMs source
• Jacob Tomlinson — Jacob Tomlinson is a senior software engineer at NVIDIA. His work involves maintaining open source p
  • Documenting your open source projects for machines source
• Katrina Riehl — Dr. Katrina Riehl is a Principal Technical Product Manager at NVIDIA leading the CUDA Education prog
  • GPU Algorithm Authoring with CUDA Tile source
• Chris Fonnesbeck — Chris is a Principal Quantitative Analyst at PyMC Labs and an Adjoint Associate Professor at the Van
  • PyMC Code Sprint source
  • Flexible Statistical Modeling with Bayesian Additive Regression Trees source
• 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 source
• Theo van Kraay — Theo is passionate about NoSQL and distributed computing. He joined Microsoft in 2017 and has been i
  • Designing Semantic Memory for Multi-Agent Systems with Python source
• 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
  • Vibe NLP for Applied NLP source
• Adam Hill — Adam is the Interim Director of Data Science at ComplyAdvantage, where he leads a brilliant team tackling financial crim
  • From Chat-with-PDF to Quiz-Master: Live-Grading RAG with LLM-as-Judge in Python source
• Lena Shakurova — Lena Shakurova is the founder of ParsLabs (https://parslabs.org), a Conversational AI agency, and Ch
  • Evaluating multi-turn conversations: A practical guide to AI Agent evals source
• 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 source
• Fred O'Loughlin — Lead MLOps Engineer at Climate Policy Radar
  • Making tech boring to keep data exciting source
• Tun Shwe — Tun Shwe is the VP of Data at Quix, where he leads data strategy and developer relations. He is focused on helping compa
  • Observing Agentic AI in Production: MCP Server Tracing with OpenTelemetry and Animal Crossing source
• Mingxuan Zhao — Mingxuan Zhao
  • Learn to Unlock Document Intelligence with Open-Source AI source
• Gergely Daroczi — Gergely Daroczi, PhD, is a passionate R/Python user and package developer for two decades. With over 15 years in the ind
  • SELECT instance FROM cloud WHERE workload = ? ORDER BY cost_efficiency source
• 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 source
• Dragos Crintea — After 12+ years architecting and engineering cloud solutions for small and large enterprises, I reco
  • Making Databases LLM-Ready: Building Production Semantic Layers with Semantido source
• 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 source
• Fei Phoon — Data Engineer in AI Platform at The Economist, PyData Cornwall co-founder, and committed diversity a
  • Observing Agentic AI in Production: MCP Server Tracing with OpenTelemetry and Animal Crossing source
• Oreolorun Olu-Ipinlaye — Oreolorun Olu-Ipinlaye is a Machine Learning/AI Engineer at Crowdhelix in London, where he builds pr
  • Building a Browser Agent from Scratch: Teach an LLM to Navigate the Web source
• Nabin Mulepati — Research Scientist/Engineer at NVIDIA focused on Multimodal Synthetic Data Generation
  • From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback source
• Lipika Ramaswamy
  • From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback source
• Niek Tax — Niek Tax is a Staff Research Scientist and Tech Lead at Meta's Central Applied Science team in Londo
  • Beyond ML Model Calibration: Hands-On Multicalibration with MCGrad source
• Nicolas Makaroff — Nicolas holds a Ph.D. in applied mathematics from Université Paris Dauphine - PSL, where his researc
  • Hands-On with Tabular Foundation Models: From Zero to Strong Baselines source
• Nick Radcliffe — Nick Radcliffe has used Python since around 2005 (starting with Python 2.1, in the form of Jython) a
  • Test-Driven Data Analysis source
• Oriol Abril Pla — Oriol is a computational statistician, working as a maintainer of the ArviZ and PyMC libraries and a
  • PyMC Code Sprint source
  • Model criticism through posterior predictive checks source
• Rachel Lee Nabors — Rachel-Lee Nabors spent the better part of their career on web standards and opensource and has spea
  • Keynote- Rachel Lee Nabors- The Community Is the Boat source
• Margaritha Groenendijk — I am Chief Architect at Engineering is Easy, working in aerospace and defence consulting. I hold a P
  • The Rules Nobody Writes Down: Decoding and Shifting Team Culture From Any Seat source
• Kamlesh Shah — I am a senior engineering lead/executive director at Morgan Stanley. I design and build large-scale
  • Columnar Thinking - Designing for high-performance execution with Arrow and Polars source
• Ian Thomas — Ian is a Scientific Software Developer at QuantStack. He has been an Open Source contributor for ove
  • JupyterLite: run all your code in a web browser using WebAssembly source
• Jeremiah Lowin — Jeremiah Lowin is the founder and CEO of Prefect and the author of FastMCP. Prefect develops automat
  • Keynote- Jeremiah Lowin- Build Reasonable Software source
• Daniele Raimondi — Daniele is a Data Scientist with expertise in statistics, data science and AI, passionate about expl
  • Building a Scientific Taxonomy at Scale with Graph Clustering, Embeddings, and LLMs source
• Feichi Lu — Feichi Lu is a Data Scientist at MDPI in Basel, where she works on building data-driven analytics fo
  • Building a Scientific Taxonomy at Scale with Graph Clustering, Embeddings, and LLMs source
• Samuel Jaja — Samuel is a Gen AI Engineer at Capgemini UK, building production multi-agent systems for enterprise
  • Building Production Multi-Agent RAG Systems on Serverless AWS source
• Prattyush Mangal — Prattyush is a Research Software Engineer working in the Granite Feedback Team in IBM Research, base
  • Production-Ready AI Agents: From LLMs to Small Language Models source
• Austen Wallis — Austen is a computational astrophysicist specialising in scientific machine learning. Currently a po
  • Fast-Forward(ing) Models: Accelerating High-Dimensional Inference with AI Emulators source
• Ivo Dilov — Ivo Dilov has 5 years of industry experience and 10 years of competitive programming, with a focus o
  • Bridging Pandas and Polars: The Hidden Costs of Dataframe Interoperability source
• Sujee Maniyam — Sujee Maniyam is a Developer Advocate at Nebius, with a background spanning AI, distributed systems,
  • Using coding agents with open models source
• Arthur Andres — A seasoned software engineer, working in both batch and real time, data intensive, python applicatio
  • Kafka Streaming, the Pythonic Way source
• Ken Obata — Ken Obata is a senior data engineer currently working at Lyft, with over seven years of experience b
  • Beyond Spark MLlib: Deduplicating Common Crawl at Scale source
• Viktor Kessler — ​Viktor Kessler, is Co-Founder of Vakamo and the creator of Lakekeeper, an Apache Licensed Iceberg R
  • Governance-as-Code for the Lakehouse: Zero Trust with Iceberg REST Catalog and Policy Engines source
• Neal Richardson — Neal Richardson is VP of Engineering at Posit and a member of the Apache Software Foundation. He is
  • MCP, or not MCP source
• Daina Bouquin — Daina Bouquin is Senior Developer Relations Engineer at Anaconda with over 12 years of experience sp
  • Build your castle, dig your moat: AI sovereignty, provenance and compliance source
• Ono Gantsog — I am a data scientist at a international mining group.
  • From Noisy Sensors to Events: Event Detection in Sensor data with Kalman Filters and Hidden Markov Models source
• Simran Dave — Simran is a PhD student in high energy physics at University College London, working on direct searc
  • Mapping the local heat transition: from large-scale geospatial data to real-world impact source
• Nathaniel Forde — I'm a Data-Scientist working in HR Tech and People Analytics with Personio. I'm a big advocate of o
  • Hazards on the Causal Path: Bayesian Time-Varying Survival Analysis with PyMC source
• Benjamin Vincent — Ben Vincent is Director of InferenceWorks Ltd and a Principal Data Scientist at PyMC Labs, where he
  • Did Your Rollout Actually Work? Measuring Phased Launches with Staggered DiD in Python source
• Kavit Tolia — The speaker spent over 12 years working in quantitative roles in investment management before return
  • Do Multilingual Embeddings Really Share a Semantic Space? Practical Lessons Across Scripts and Languages source
• Gabriel Lipnik — Gabriel Lipnik is an AI engineer and applied mathematician at Anexia Digital Engineering, working on
  • Your ML Pipeline Meets the EU AI Act source
• Hitendri Bomble — Hitendri Bomble is a Senior Data Scientist at Red Hat, where she builds Generative AI solutions to s
  • The Silent Crash: Why Your RAG Evaluation Metrics Are Lying to You source
• Arghyadeep Sarkar — Arghyadeep Sarkar is a Senior Data Scientist at Red Hat with ~8 years of experience in data science
  • The Silent Crash: Why Your RAG Evaluation Metrics Are Lying to You source
• Martin O'Reilly — Martin O'Reilly is Director of Research Engineering at the Alan Turing Institute, where he leads a t
  • Keynote- Martin O'Reilly- LLMs and AI agents demystified source
• Matt Crooks — Matt Crooks is a Principal Data Scientist at the BBC, where he works in the audiences data science t
  • AI-Assisted Creative for Automated Marketing using Python source
• Paddy Mullen — Paddy Mullen is a full‑stack engineer and data‑tooling builder. An early employee at Anaconda, he co
  • The Future of Notebooks in a Claude Code World** source
• Julie Huang — Julie Huang is an AI Data Scientist at Tesco, where she works on production AI agent systems for ret
  • Tesco AI & Data Science: From Recipes to Reality source
• Kareem Hussein — Kareem is an AI Engineer at Tesco working on the upcoming customer shopping assistant. Particular fo
  • Tesco AI & Data Science: From Recipes to Reality source
• Michel Semaan — Michel Semaan is the Analytics Lead for Transaction Banking at Allica Bank, previously a Senior Anal
  • Querying the queries: SQL Metaprogramming in Python source
• Kerry Parker — Data Engineer at Climate Policy Radar
  • Making tech boring to keep data exciting source
• Mark Cottam — Data Engineer at Climate Policy Radar
  • Making tech boring to keep data exciting source
• Ophelie Bleu — I am a Senior Machine Learning Scientist at Monzo, where my main focus is around Large Language Mode
  • When Your Dataset Has Blind Spots: Practical LLM-Based Data Augmentation source
• Dmitry Petrov — Dmitry Petrov is the creator of open-source tool DVC (Data Version Control), holds a PhD in Computer
  • From SQL to Python: Building Data Context for Agents and People source
• Damian Bemben — Damian Bemben is a prominent speaker, creative technologist & developer within the Hampshire & Solen
  • The Clean Energy Graveyard: Using Python & Gemini to Map the UK's Cancelled Renewable's source
• Alessandra Costantino — I am a researcher with a strong track record of transferring core scientific computing skills across
  • What We Expect from XAI - A scientist’s experience between models and users source
• Andrew Igdal — I study energy policy at the University of Texas at Austin. My work focuses on residential electrifi
  • What Can LLMs Do with Messy Residential Electrification Data? source
• Thomas Ogden — Thomas Ogden is a Senior Data Scientist in Platform at Spotify. He builds tools, mostly with probabi
  • No Ropes on a Boat: Coherent Forecasting source
• James Fielder
  • How to write a PyData proposal source
• 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 source

Questions about PyData London 2026

Who spoke at PyData London 2026?

72 speakers we hold a record for, listed below with the session each one gave. The list comes from the conference's own published agenda, so it is who actually appeared rather than who applied or who paid.

When and where was PyData London 2026?

June 2026, in London, run by PyData London / NumFOCUS. The agenda it was taken from is linked at the top of this page.

Are the talk titles real?

75 of the 75 records carry the session title exactly as the agenda printed it, so every one below is quoted.

Can I contact these speakers?

Not through us. We hold no contact details and no fees. Each entry links to the agenda page it came from, and that is the route.