Conferences / PyData
PyData London 2025
Jun 6–8, 2025 · Convene Sancroft, St. Paul's, London, United Kingdom
- Conference
- PyData Data science & ML
- Dates
- Jun 6, 2025 – Jun 8, 2025
- Venue
- Convene Sancroft, St. Paul's
- Place
- London, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 0 sponsors · 62 speaker appearances
- Notes
- Tutorials Friday, talks Saturday-Sunday. Speakers: all sessions in the pretalx schedule export; affiliations parsed from pretalx bios (keynote affiliations from the homepage); null where the bio did not state one. No sponsor wall was shown on the conference homepage (live or May 2025 Wayback snapshot), so sponsors are missing. Sponsorship tiers were priced £4,000-£15,000. Sponsorship prices from the archived sponsor page (Mar 2025).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Tutorial Pass - Student | £100 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| Tutorial Pass - Individual | £175 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| Talk Pass - Student | £200 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| Tutorial Pass - Corporate | £225 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| Talk Pass - Individual | £275 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| 3-Day Pass - Student | £300 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| Talk Pass - Corporate | £425 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| 3-Day Pass - Individual | £450 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
| 3-Day Pass - Corporate | £650 | — | Final price incl. 3.9% processing fee (Tito, Jan 2025) | web.archive.org |
Sponsorship packages
| Package | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Silver Tier | £4,000 | — | 2 tickets, 1 diversity scholarship, logo on website, job board (no booth). | web.archive.org |
| Gold Tier | £6,000 | — | 3 tickets, 2 diversity scholarships, expo booth, attendee list. | web.archive.org |
| Platinum Tier | £10,000 | — | 6 tickets, 3 diversity scholarships, expo booth, talk or tutorial, attendee list. | web.archive.org |
| Diamond Tier | £15,000 | — | 10 conference tickets, 5 diversity scholarships, expo booth, talk or tutorial, attendee list, prime logo on videos, top billing. | web.archive.org |
Sponsors 0
No sponsors recorded
Speakers and talks 62
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Jay Alammar | Cohere | Keynote | Keynote- From Next Token Prediction to Reasoning and Beyond | — |
| Leanne Fitzpatrick | Financial Times | Keynote | Opening Notes & Keynote: Keep Calm and Data On: Being a data science practitioner in the era of AI proliferation | — |
| Tony Mears | UK National Health Service (NHS) | Keynote | Keynote- Innovation is Dead | — |
| Adam Hill | ComplyAdvantage | Talk | Not Another LLM Talk… Practical Lessons from Building a Real-World Adverse Media Pipeline | — |
| Ade Idowu | — | Tutorial | Hands-on workshop on developing Reinforcement Learning solutions with financial domain example use cases. | — |
| Ahmad Albarqawi | University of Illinois Urbana-Champaign | Tutorial | Graph Theory for Multi-Agent Integration: Showcase Clinical Use Cases | — |
| Alex Jones | Monzo | Talk | How we unified feature engineering across data and backend at Monzo | — |
| Alex Owens | — | Talk | Why you should stop pretending your sparse data is dense | — |
| Anders Bogsnes | Nordea | Tutorial | Hands-on with Apache Iceberg | — |
| Andrea Melloncelli | Apply Quantum | Tutorial | Python Meets Quantum: Learn, Code, and Simulate | — |
| Andy Terrel | University of Texas and Texas Advanced Computing Center | Talk | CUDA in Python: A New Era for GPU Acceleration | — |
| Callum Court | — | Talk | Multi-Task Learning for Fraud detection: From Trees to MLPs | — |
| Cheuk Ting Ho | JetBrains | Talk | Is coding assistant as good as we thought in coding? | — |
| Chi Wang | AutoGen | Tutorial | Building your own vertical agent with AG2 AgentOS | — |
| Chris Laffra | — | Talk | PyScript - Python in the Browser | — |
| Chris Fonnesbeck | PyMC Labs | Tutorial | PyMC Code Sprint | — |
| Chris Fonnesbeck | PyMC Labs | Tutorial | Introduction to Bayesian Time Series Analysis with PyMC | — |
| Elizabeth Osanyinro | Carbonnote AI | Talk | AI for Everyone - Building Inclusive Machine Learning Models | — |
| Emeli Dral | Evidently AI | Talk | AI agents testing: How to evaluate the unpredictable | — |
| Fred O'Loughlin | — | Talk | Building a knowledge graph for climate policy | — |
| Harrison Pim | — | Talk | Building a knowledge graph for climate policy | — |
| Hugh Evans | — | Tutorial | Humble Data Workshop | — |
| Ian Ozsvald | RebelAI | Talk | Leaders at PyData | — |
| Ian Ozsvald | RebelAI | Talk | Successful Projects through a bit of Rebellion | — |
| Ines Montani | Explosion | Talk | Conquering PDFs: document understanding beyond plain text | — |
| Ines Montani | Explosion | Talk | Feminist AI Lounge | — |
| Isaac Chung | Zendesk | Talk | Reproducibility in Embedding Benchmarks | — |
| Jacob Tomlinson | NVIDIA | Tutorial | GPU Accelerated Python | — |
| Jeremy Tanner | — | Tutorial | GPU Accelerated Python | — |
| Jeroen Janssens | Posit | Tutorial | Package Your Python Code as a CLI | — |
| John Carney | PyDataMCR | Talk | Platforms for valuable AI Products: Iteration, iteration, iteration | — |
| John Sandall | Coefficient | Tutorial | How To Measure And Mitigate Unfair Bias in Machine Learning Models | — |
| Joris Bekkers | PySport | Talk | Cutting Edge Football Analytics using Polars, Keras and Spektral | — |
| Jyoti Yadav | Microsoft | Talk | Agentic Cyber Defense with External Threat Intelligence | — |
| Katrina Riehl | NVIDIA | Tutorial | GPU Accelerated Python | — |
| Lawrence Mitchell | NVIDIA | Tutorial | GPU Accelerated Python | — |
| Lena Shakurova | ParsLabs | Talk | Making LLMs reliable: A practical framework for production | — |
| Lex Avstreikh | Hopsworks | Talk | Sovereign Data for AI with Python | — |
| Lilinoe Harbottle | — | Talk | Git Commit, MedTech Transformed: Python’s Medical Robotics Breakthrough | — |
| Luca Baggi | — | Talk | LLM Inference Arithmetics: the Theory behind Model Serving | — |
| Marco Gorelli | Quansight | Talk | Polars, DuckDB, PySpark, PyArrow, pandas, cuDF: how Narwhals has brought them all together! | — |
| Matt Squire | Fuzy Labs | Talk | Diving into Transformer Model Internals | — |
| Matt Upson | — | Talk | Debugging Leadership: Six Errors when Moving From Code to Management | — |
| Michał Szołucha | NVIDIA | Talk | Parallel PyTorch Inference with Python Free-Threading | — |
| Mihail Douhaniaris | GetYourGuide | Talk | From Trees to Transformers: Our Journey Towards Deep Learning for Ranking | — |
| Mridul Seth | European Spallation Source | Talk | NetworkX is Fast Now: Zero Code Change Acceleration | — |
| Natalia Ziemba‑Jankowska | — | Talk | Media Mix Modelling - how we can save company budget? | — |
| Olena Kutsenko | Confluent | Talk | Bringing stories to life with AI, data streaming and generative agents | — |
| Onyekachukwu Ojumah | Victorian Plumbing | Talk | Automating Porosity Detection in Additive Manufacturing with Deep Learning | — |
| Radion Bikmukhamedov | — | Talk | Enhancing Fraud Detection with LLM-Generated Profiles: From Analyst Efficiency to Model Performance | — |
| Salman Khan | Afiniti AI | Talk | Transfer Learning: Leveraging Pretrained Models with Limited Data | — |
| Sam Joseph | Qualis Flow | Talk | Python Engineering Excellence Birds of a Feather | — |
| Sam Joseph | Qualis Flow | Tutorial | Transformers Inside Out (Parts 1 & 2) | — |
| Samiul Huque | Bloomberg | Talk | You Came to a Python Conference. Now, Go Do a PR Review! | — |
| Sofia Pinto | Nesta | Talk | Analysing smart meter data to uncover energy consumption patterns | — |
| Suyash Joshi | InfluxData | Tutorial | Forecasting Weather using Time Series ML | — |
| Tatiana Al-Chueyr | Astronomer | Talk | Scaling AI workloads with Ray & Airflow | — |
| Theo van Kraay | Microsoft | Talk | Tackling Data Challenges for Scaling Multi-Agent GenAI Apps with Python | — |
| Theodore Meynard | GetYourGuide | Talk | From Trees to Transformers: Our Journey Towards Deep Learning for Ranking | — |
| Thijs Nieuwdorp | Xomnia | Tutorial | Package Your Python Code as a CLI | — |
| Tim Paine | Cubist Systematic Strategies | Talk | One repo to rule them all, one repo to bind them...Control all of your projects with copier! | — |
| Tim Santos | AI Hive | Tutorial | Building your own vertical agent with AG2 AgentOS | — |
Sources
- https://pydata.org/london2025/
- https://cfp.pydata.org/london2025/schedule/
- https://ti.to/pydata/pydata-london-25
- https://pydata.org/london2025/sponsor
- https://web.archive.org/web/20250123114551/https://ti.to/pydata/pydata-london-25
- https://web.archive.org/web/20250319114600/https://pydata.org/london2025/sponsor