Keynote speakers in London, verified
135 international keynote speakers who demonstrably spoke at one of 4 tech events in London, United Kingdom — most recently on stage first, every talk linked to the public agenda that proves the appearance.
The conference scene in London
London is one of Europe's central hubs for enterprise artificial intelligence, cloud architecture, and open-source computing, anchored by major venues like ExCeL London and Leonardo Royal Hotel Tower Bridge. The AI Summit London, running since 2016 as the flagship conference of London Tech Week and organized by Informa Tech, convenes global AI researchers, policy advisers, and corporate keynote speakers discussing enterprise deployment and regulatory strategy.
In parallel with commercial summits, PyData London—organized under NumFOCUS and the London scientific Python community—gathers core library maintainers, research data scientists, and ML engineers focusing on open-source numerical tools and machine learning infrastructure. For cloud-native engineering, KubeCon + CloudNativeCon Europe, hosted by the Cloud Native Computing Foundation (CNCF) and the Linux Foundation, convenes thousands of distributed systems practitioners and platform leaders.
Sources: The AI Summit London 2026 , PyData London 2025 , KubeCon + CloudNativeCon Europe 2025
Most recently on stage in London
- Anders Bogsnes September 2026 AI infrastructure, Data engineering
- Cheuk Ting Ho September 2026 AI ethics, AI industry applications, AI policy, AI product, LLM, Machine learning, MLOps, Responsible AI 3 talks here
- Özge Çinko September 2026 LLM, MLOps
- Laura Summers September 2026 AI ethics, AI product, Generative AI, LLM, MLOps, Responsible AI
- Thijs Nieuwdorp September 2026 Data engineering, Machine learning
- Jay Alammar September 2026 Generative AI, LLM, Machine learning, NLP
- Jeroen Janssens September 2026 AI infrastructure, Data engineering, LLM, Machine learning
- Luca Baggi September 2026 AI ethics, AI infrastructure, AI research, Computer vision, Generative AI, LLM, Machine learning, NLP, Responsible AI 2 talks here
- Theodore Meynard September 2026 AI industry applications, AI product, Data engineering, Machine learning, MLOps
- Anne-Claire Gerbaldi June 2026 AI industry applications, AI product
- Benedict Macon-Cooney June 2026 AI industry applications, AI policy
- Disha Mukherjee June 2026 AI industry applications, Data engineering
- Ingrid Olmesdahl June 2026 AI industry applications, AI product
- Kanishka Narayan June 2026 AI ethics, AI policy
- Richard Masters June 2026 AI industry applications, Data engineering
- Adam Hill June 2026 Generative AI, LLM, MLOps 2 talks here
- Alessandra Costantino June 2026 AI ethics, MLOps, Responsible AI
- Andrew Igdal June 2026 AI research, Data engineering, LLM
- Arghyadeep Sarkar June 2026 AI research, LLM, MLOps
- Cedric Clyburn June 2026 AI research, Data engineering, Generative AI, LLM, Machine learning
- Damian Bemben June 2026 Data engineering, MLOps
- Dmitry Petrov June 2026 Computer vision, Data engineering
- Fred O'Loughlin June 2026 AI infrastructure, AI policy, Data engineering 2 talks here
- Gabriel Lipnik June 2026 AI policy, MLOps
- Hitendri Bomble June 2026 AI research, LLM, MLOps
- Ines Montani June 2026 AI industry applications, AI product, LLM, Machine learning, MLOps, NLP 3 talks here
- James Fielder June 2026 Machine learning
- Julie Huang June 2026 AI industry applications, AI infrastructure, AI product
- Kareem Hussein June 2026 AI industry applications, AI infrastructure, AI product
- Kerry Parker June 2026 AI infrastructure, AI policy, Data engineering
- Maksym Bilychenko June 2026 Machine learning
- Marco Gorelli June 2026 Data engineering 2 talks here
- Mark Cottam June 2026 AI infrastructure, AI policy, Data engineering
- Martin O'Reilly June 2026 Generative AI, LLM, Robotics
- Matt Crooks June 2026 AI ethics, Computer vision, Responsible AI
- Michel Semaan June 2026 Data engineering
- Ophelie Bleu June 2026 Generative AI, LLM, NLP
- Paddy Mullen June 2026 LLM
- Sam Joseph June 2026 Generative AI, LLM, Machine learning 3 talks here
- Thomas Ogden June 2026 MLOps
- Arthur Andres June 2026 AI research
- Austen Wallis June 2026 AI infrastructure, AI research
- Benjamin Vincent June 2026 AI policy
- Chris Fonnesbeck June 2026 Machine learning 4 talks here
- Daina Bouquin June 2026 AI infrastructure, AI policy
- Daniele Raimondi June 2026 Computer vision, Generative AI, LLM
- Feichi Lu June 2026 Computer vision, Generative AI, LLM
- Gergely Daroczi June 2026 AI infrastructure, AI policy, Robotics
- Ian Thomas June 2026 MLOps
- Ivo Dilov June 2026 Data engineering
- Jacob Tomlinson June 2026 AI industry applications, AI infrastructure, AI product, Data engineering, LLM 2 talks here
- Jeremiah Lowin June 2026 Generative AI
- Kamlesh Shah June 2026 AI infrastructure, Data engineering, LLM
- Kavit Tolia June 2026 AI ethics, LLM, Responsible AI
- Ken Obata June 2026 AI infrastructure, Generative AI, LLM
- Lena Shakurova June 2026 AI infrastructure, LLM, MLOps 2 talks here
- Margaritha Groenendijk June 2026 AI industry applications, AI product, Computer vision
- Nathaniel Forde June 2026 AI infrastructure, AI research
- Neal Richardson June 2026 AI policy
- Ono Gantsog June 2026 AI infrastructure, Computer vision, Robotics
- Oriol Abril Pla June 2026 Machine learning 2 talks here
- Prattyush Mangal June 2026 AI infrastructure, MLOps
- Rachel Lee Nabors June 2026 Machine learning
- Samuel Jaja June 2026 LLM, MLOps, Robotics
- Simran Dave June 2026 AI industry applications, AI infrastructure, AI product
- Sofia Pinto June 2026 AI industry applications, AI infrastructure, AI product, Machine learning 2 talks here
- Sujee Maniyam June 2026 LLM, MLOps
- Theo van Kraay June 2026 AI infrastructure, Generative AI, LLM, MLOps 2 talks here
- Viktor Kessler June 2026 AI infrastructure, AI policy, Data engineering
- Abby Tse June 2026 Machine learning
- Carol Chen June 2026 Generative AI, LLM, Machine learning
- Dragos Crintea June 2026 AI industry applications, AI product, LLM
- Fei Phoon June 2026 AI infrastructure, Generative AI, LLM
- Katrina Riehl June 2026 AI infrastructure, LLM 2 talks here
- Lipika Ramaswamy June 2026 Computer vision, Generative AI, LLM
- Mingxuan Zhao June 2026 Computer vision, LLM, Machine learning
- Nabin Mulepati June 2026 Computer vision, Generative AI, LLM
- Nick Radcliffe June 2026 Machine learning
- Nicolas Makaroff June 2026 AI research
- Niek Tax June 2026 MLOps
- Oreolorun Olu-Ipinlaye June 2026 Computer vision, LLM
- Samuel Colvin June 2026 AI policy, AI product, LLM, Machine learning, MLOps
- Tun Shwe June 2026 AI industry applications, AI infrastructure, Generative AI, LLM
- Lex Avstreikh October 2025 AI infrastructure, Data engineering, LLM, MLOps
- Lilinoe Harbottle August 2025 AI industry applications, Robotics
- Mridul Seth August 2025 AI infrastructure, Data engineering
- Mihail Douhaniaris July 2025 AI industry applications, Machine learning, MLOps
- Andy Terrel June 2025 AI infrastructure
- Elizabeth Osanyinro June 2025 AI ethics, Machine learning
- Harrison Pim June 2025 AI infrastructure
- Hugh Evans June 2025 Machine learning
- Ian Ozsvald June 2025 Generative AI, LLM 2 talks here
- Isaac Chung June 2025 LLM, Machine learning, NLP
- Jyoti Yadav June 2025 Machine learning, MLOps
- Matt Squire June 2025 Generative AI, Machine learning
- Matt Upson June 2025 Machine learning
- Onyekachukwu Ojumah June 2025 Machine learning
- Salman Khan June 2025 LLM, Machine learning
- Samiul Huque June 2025 Machine learning
- Tatiana Al-Chueyr June 2025 Generative AI, LLM, MLOps
- Tim Paine June 2025 Machine learning
- Tony Mears June 2025 Machine learning
- Alex Jones June 2025 Machine learning
- Alex Owens June 2025 Data engineering
- Callum Court June 2025 AI infrastructure, LLM, Machine learning
- Chris Laffra June 2025 Machine learning
- Emeli Dral June 2025 LLM
- John Carney June 2025 Machine learning
- Joris Bekkers June 2025 Data engineering, Machine learning
- Leanne Fitzpatrick June 2025 AI infrastructure, Machine learning
- Michał Szołucha June 2025 Generative AI, Machine learning, NLP
- Natalia Ziemba‑Jankowska June 2025 Machine learning
- Olena Kutsenko June 2025 Data engineering, LLM
- Radion Bikmukhamedov June 2025 LLM, Machine learning, NLP
- Ade Idowu June 2025 Robotics
- Ahmad Albarqawi June 2025 Computer vision, MLOps, NLP
- Andrea Melloncelli June 2025 Machine learning
- Chi Wang June 2025 Machine learning
- Jeremy Tanner June 2025 AI infrastructure
- John Sandall June 2025 AI ethics, Generative AI, LLM, Machine learning
- Lawrence Mitchell June 2025 AI infrastructure
- Suyash Joshi June 2025 LLM, Machine learning
- Tim Santos June 2025 Machine learning
- Xuzheng Chang April 2025 AI infrastructure, Machine learning, MLOps
- Chen Wang April 2025 AI infrastructure, MLOps
- Jiří Kremser April 2025 AI infrastructure, LLM, MLOps
- Vincent Hou April 2025 AI infrastructure, LLM, MLOps
- Yuan Chen April 2025 AI infrastructure, MLOps
- Brian Kaufman April 2025 AI infrastructure, Data engineering
- Eduardo Arango Gutierrez April 2025 AI infrastructure, Machine learning, MLOps
- Gabriele Bartolini April 2025 AI infrastructure, Data engineering
- Guangya Liu April 2025 AI infrastructure, Generative AI, MLOps
- Karthik Kalyanaraman April 2025 AI infrastructure, Generative AI, MLOps
- Nimisha Mehta April 2025 AI infrastructure, Data engineering
- Yuan Tang April 2025 AI infrastructure, Machine learning, MLOps
The 4 conferences behind this list
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The AI Summit London 2026 — June 2026, London , run by Informa Connect, a trading division of Informa PLC. 6 of the speakers on this page came from its agenda.
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PyData London 2026 — June 2026, London , run by PyData London / NumFOCUS. 72 of the speakers on this page came from its agenda.
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PyData London 2025 — June 2025, London , run by PyData London / NumFOCUS. 58 of the speakers on this page came from its agenda.
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KubeCon + CloudNativeCon Europe 2025 — April 2025, London , run by Cloud Native Computing Foundation (CNCF), part of the Linux Foundation. 12 of the speakers on this page came from its agenda.
The AI Summit London 2026
London, United Kingdom · June 2026 · 6 speakers
- Anne-Claire Gerbaldi — Senior Vice President; Chief Digital, Data and AI Officer, AstraZeneca
- Benedict Macon-Cooney — Chief AI & Innovation Officer, Tony Blair Institute
- Kanishka Narayan — Minister for AI and Online Safety, Department for Science, Innovation and Technology
- Richard Masters — Vice President of Data and AI, Virgin Atlantic Airways
- Disha Mukherjee — Lead Data Engineer, Ford Credit
- Ingrid Olmesdahl — AI Transformation Director, EMEA, Ogilvy
PyData London 2026
London, United Kingdom · June 2026 · 72 speakers
- Carol Chen — Carol Chen is a Community Architect at Red Hat, having led several upstream communities including In
- 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·source · pretalx.com
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- Laura Summers — Lead Design Engineer at Pydantic
- Marco Gorelli — Senior Software Engineer at Quansight Labs
- Luca Baggi — ML Engineer @xtream
- 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”·PyData London 2026·source · pretalx.com
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- 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 London 2026·source · pretalx.com
- Jacob Tomlinson — Jacob Tomlinson is a senior software engineer at NVIDIA. His work involves maintaining open source p
- Katrina Riehl — Dr. Katrina Riehl is a Principal Technical Product Manager at NVIDIA leading the CUDA Education prog
- Chris Fonnesbeck — Chris is a Principal Quantitative Analyst at PyMC Labs and an Adjoint Associate Professor at the Van
- “Flexible Statistical Modeling with Bayesian Additive Regression Trees”·PyData London 2026·source · pretalx.com
- Sam Joseph — I am a Senior Software Engineer & AI Specialist at DRW, a proprietary trading firm. I was previous
- 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”·PyData London 2026·source · pretalx.com
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- 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
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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·source · pretalx.com
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- Fred O'Loughlin — Lead MLOps Engineer at Climate Policy Radar
- 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”·PyData London 2026·source · pretalx.com
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- Mingxuan Zhao — Mingxuan Zhao
- 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”·PyData London 2026·source · pretalx.com
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- 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·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Abby Tse — Abby Tse is Chair of PyData NYC, where she has led a community of over 8,000 data professionals sinc
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Lipika Ramaswamy
- “From Synthetic Examples to Production Signals: Multimodal Training Data Pipelines with Privacy-Safe Feedback”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Nick Radcliffe — Nick Radcliffe has used Python since around 2005 (starting with Python 2.1, in the form of Jython) a
- Oriol Abril Pla — Oriol is a computational statistician, working as a maintainer of the ArviZ and PyMC libraries and a
- Rachel Lee Nabors — Rachel-Lee Nabors spent the better part of their career on web standards and opensource and has spea
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Jeremiah Lowin — Jeremiah Lowin is the founder and CEO of Prefect and the author of FastMCP. Prefect develops automat
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Sujee Maniyam — Sujee Maniyam is a Developer Advocate at Nebius, with a background spanning AI, distributed systems,
- Arthur Andres — A seasoned software engineer, working in both batch and real time, data intensive, python applicatio
- Ken Obata — Ken Obata is a senior data engineer currently working at Lyft, with over seven years of experience b
- 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”·PyData London 2026·source · pretalx.com
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- Neal Richardson — Neal Richardson is VP of Engineering at Posit and a member of the Apache Software Foundation. He is
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Gabriel Lipnik — Gabriel Lipnik is an AI engineer and applied mathematician at Anexia Digital Engineering, working on
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- Martin O'Reilly — Martin O'Reilly is Director of Research Engineering at the Alan Turing Institute, where he leads a t
- Matt Crooks — Matt Crooks is a Principal Data Scientist at the BBC, where he works in the audiences data science t
- Paddy Mullen — Paddy Mullen is a full‑stack engineer and data‑tooling builder. An early employee at Anaconda, he co
- Julie Huang — Julie Huang is an AI Data Scientist at Tesco, where she works on production AI agent systems for ret
- Kareem Hussein — Kareem is an AI Engineer at Tesco working on the upcoming customer shopping assistant. Particular fo
- Michel Semaan — Michel Semaan is the Analytics Lead for Transaction Banking at Allica Bank, previously a Senior Anal
- Kerry Parker — Data Engineer at Climate Policy Radar
- Mark Cottam — Data Engineer at Climate Policy Radar
- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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”·PyData London 2026·source · pretalx.com
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- 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?”·PyData London 2026·source · pretalx.com
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- Thomas Ogden — Thomas Ogden is a Senior Data Scientist in Platform at Spotify. He builds tools, mostly with probabi
- James Fielder
- 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·source · pretalx.com
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PyData London 2025
London, United Kingdom · June 2025 · 58 speakers
- Theodore Meynard — Data Science Manager at GetYourGuide
- “From Trees to Transformers: Our Journey Towards Deep Learning for Ranking”·PyData London 2025·source · cfp.pydata.org
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- Mihail Douhaniaris — Senior Data Scientist at GetYourGuide
- “From Trees to Transformers: Our Journey Towards Deep Learning for Ranking”·PyData London 2025·source · cfp.pydata.org
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- Marco Gorelli — Senior Software Engineer at Quansight Labs
- “Polars, DuckDB, PySpark, PyArrow, pandas, cuDF: how Narwhals has brought them all together!”·PyData London 2025·source · cfp.pydata.org
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- Lex Avstreikh
- Luca Baggi — ML Engineer @xtream
- “LLM Inference Arithmetics: the Theory behind Model Serving”·PyData London 2025·source · cfp.pydata.org
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- Cheuk Ting Ho — After having a career in Data Scientist and Developer Relations, Cheuk dedicated her work to the ope
- Lilinoe Harbottle
- “Git Commit, MedTech Transformed: Python’s Medical Robotics Breakthrough”·PyData London 2025·source · cfp.pydata.org
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- Jacob Tomlinson — Jacob Tomlinson is a senior software engineer at NVIDIA. His work involves maintaining open source p
- Mridul Seth
- Anders Bogsnes
- Katrina Riehl — Dr. Katrina Riehl is a Principal Technical Product Manager at NVIDIA leading the CUDA Education prog
- Jeremy Tanner
- Lawrence Mitchell
- Chris Fonnesbeck — Chris is a Principal Quantitative Analyst at PyMC Labs and an Adjoint Associate Professor at the Van
- “Introduction to Bayesian Time Series Analysis with PyMC”·PyData London 2025·source · cfp.pydata.org
- Suyash Joshi
- Jeroen Janssens — Jeroen Janssens, PhD, is a Senior Developer Relations Engineer at Posit, PBC. His expertise lies in visualizing data, im
- Thijs Nieuwdorp — Thijs Nieuwdorp is the Lead Data Scientist at Xomnia in Amsterdam. His interest in the interaction between human and com
- John Sandall — John Sandall is the CEO and Principal Data Scientist at Coefficient.
- “How To Measure And Mitigate Unfair Bias in Machine Learning Models”·PyData London 2025·source · cfp.pydata.org
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- Andrea Melloncelli
- Sam Joseph — I am a Senior Software Engineer & AI Specialist at DRW, a proprietary trading firm. I was previous
- Ahmad Albarqawi
- “Graph Theory for Multi-Agent Integration: Showcase Clinical Use Cases”·PyData London 2025·source · cfp.pydata.org
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- Tim Santos
- Chi Wang
- Ade Idowu
- “Hands-on workshop on developing Reinforcement Learning solutions with financial domain example use cases.”·PyData London 2025·source · cfp.pydata.org
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- Leanne Fitzpatrick
- “Opening Notes & Keynote: Keep Calm and Data On: Being a data science practitioner in the era of AI proliferation”·PyData London 2025·source · cfp.pydata.org
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- Callum Court
- “Multi-Task Learning for Fraud detection: From Trees to MLPs”·PyData London 2025·source · cfp.pydata.org
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- Michał Szołucha
- Alex Owens
- “Why you should stop pretending your sparse data is dense”·PyData London 2025·source · cfp.pydata.org
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- Emeli Dral
- Alex Jones
- “How we unified feature engineering across data and backend at Monzo”·PyData London 2025·source · cfp.pydata.org
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- Olena Kutsenko
- “Bringing stories to life with AI, data streaming and generative agents”·PyData London 2025·source · cfp.pydata.org
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- Joris Bekkers
- “Cutting Edge Football Analytics using Polars, Keras and Spektral”·PyData London 2025·source · cfp.pydata.org
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- Radion Bikmukhamedov
- “Enhancing Fraud Detection with LLM-Generated Profiles: From Analyst Efficiency to Model Performance”·PyData London 2025·source · cfp.pydata.org
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- Jay Alammar
- “Keynote- From Next Token Prediction to Reasoning and Beyond”·PyData London 2025·source · cfp.pydata.org
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- Chris Laffra
- Theo van Kraay — Theo is passionate about NoSQL and distributed computing. He joined Microsoft in 2017 and has been i
- “Tackling Data Challenges for Scaling Multi-Agent GenAI Apps with Python”·PyData London 2025·source · cfp.pydata.org
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- 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
- “Conquering PDFs: document understanding beyond plain text”·PyData London 2025·source · cfp.pydata.org
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- Adam Hill — Adam is the Interim Director of Data Science at ComplyAdvantage, where he leads a brilliant team tackling financial crim
- “Not Another LLM Talk… Practical Lessons from Building a Real-World Adverse Media Pipeline”·PyData London 2025·source · cfp.pydata.org
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- John Carney
- “Platforms for valuable AI Products: Iteration, iteration, iteration”·PyData London 2025·source · cfp.pydata.org
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- Natalia Ziemba‑Jankowska
- Ian Ozsvald
- Elizabeth Osanyinro
- “AI for Everyone - Building Inclusive Machine Learning Models”·PyData London 2025·source · cfp.pydata.org
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- Onyekachukwu Ojumah
- “Automating Porosity Detection in Additive Manufacturing with Deep Learning”·PyData London 2025·source · cfp.pydata.org
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- Isaac Chung
- Tim Paine
- “One repo to rule them all, one repo to bind them...Control all of your projects with copier!”·PyData London 2025·source · cfp.pydata.org
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- Lena Shakurova — Lena Shakurova is the founder of ParsLabs (https://parslabs.org), a Conversational AI agency, and Ch
- “Making LLMs reliable: A practical framework for production”·PyData London 2025·source · cfp.pydata.org
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- Sofia Pinto — Sofia is a principal data scientist at Nesta, working with the sustainable future mission team on de
- “Analysing smart meter data to uncover energy consumption patterns”·PyData London 2025·source · cfp.pydata.org
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- Andy Terrel
- Tony Mears
- Matt Squire
- Jyoti Yadav
- “Agentic Cyber Defense with External Threat Intelligence”·PyData London 2025·source · cfp.pydata.org
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- Hugh Evans
- Matt Upson
- “Debugging Leadership: Six Errors when Moving From Code to Management”·PyData London 2025·source · cfp.pydata.org
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- Samiul Huque
- “You Came to a Python Conference. Now, Go Do a PR Review!”·PyData London 2025·source · cfp.pydata.org
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- Harrison Pim
- Fred O'Loughlin — Lead MLOps Engineer at Climate Policy Radar
- Salman Khan
- “Transfer Learning: Leveraging Pretrained Models with Limited Data”·PyData London 2025·source · cfp.pydata.org
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- Tatiana Al-Chueyr
KubeCon + CloudNativeCon Europe 2025
London, United Kingdom · April 2025 · 12 speakers
- Yuan Tang — Senior Principal Software Engineer, Red Hat
- “Advancements in AI/ML Inference Workloads on Kubernetes From WG Serving and Ecosystem Projects”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Eduardo Arango Gutierrez — Senior Systems Software Engineer, NVIDIA
- “Advancements in AI/ML Inference Workloads on Kubernetes From WG Serving and Ecosystem Projects”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Yuan Chen — Principal Software Engineer, NVIDIA
- “A Practical Guide To Benchmarking AI and GPU Workloads in Kubernetes”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Chen Wang — Senior Research Scientist, IBM Research
- “A Practical Guide To Benchmarking AI and GPU Workloads in Kubernetes”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Guangya Liu — Executive Director, JPMorgan Chase
- “Deep Dive To AI Agent Observability”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Karthik Kalyanaraman — Co-Founder & CTO, Langtrace AI
- “Deep Dive To AI Agent Observability”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Vincent Hou — Senior Software Engineer, Bloomberg
- “Optimizing Metrics Collection & Serving When Autoscaling LLM Workloads”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Jiří Kremser — YAML Engineer, kedify.io
- “Optimizing Metrics Collection & Serving When Autoscaling LLM Workloads”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Xuzheng Chang — Software Engineer, Huawei Cloud
- “Cloud Native AI: Harness the Power of Advanced Scheduling for High-Performance AI/ML Training”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Gabriele Bartolini — VP, Chief Architect of Kubernetes, EDB
- “The Future of Data on Kubernetes: From Database Management To AI Foundation”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Brian Kaufman — Senior Product Manager GKE AI Inference and Data, Google
- “The Future of Data on Kubernetes: From Database Management To AI Foundation”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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- Nimisha Mehta — Software Engineer, Confluent
- “The Future of Data on Kubernetes: From Database Management To AI Foundation”·KubeCon + CloudNativeCon Europe 2025·source · kccnceu2025.sched.com
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What this list does not tell you
- Where anyone is based. London is the city of the event, never of the person. We hold no address, and nobody here is being described as local.
- How to reach them. No contact details are held. The agenda link is the route.
- Everyone who qualifies. This is a seed, not a census: absence is not evidence that someone has not spoken in London.
- Anything about talks still to come. Only past, published sessions are recorded — there is no upcoming schedule here.
Questions about booking a speaker in London
- How many AI speakers have spoken in London?
- 135, across 4 conferences we hold agendas for. That is the number with a checkable record, not an estimate, and it grows when we index another London conference, not when more people sign up.
- Which conferences do they come from?
- The AI Summit London 2026, PyData London 2026, PyData London 2025, KubeCon + CloudNativeCon Europe 2025. Each one links to its own page, and from there to the conference's published agenda.
- How do you know they actually spoke?
- Because the conference published it. 149 of the 155 talk records on this page carry the session title exactly as the agenda printed it; the other 6 come from events that list speakers without per-session titles, and those are shown as our own label rather than dressed up as a published one. Nobody self-reported and nobody paid to be here.
- Are these speakers based in London?
- Not necessarily, and we do not claim it. The city belongs to the event, not the person. This page answers who has taken a stage in London, which is the question that matters when you are booking one there.
- What do they speak about?
- Most represented on this page: Machine learning, LLM, AI infrastructure, MLOps, Data engineering, Generative AI. Topics come from the talks themselves, not from a profile someone filled in.
- Are these international keynote speakers?
- Yes. The speakers listed here took keynote and practitioner stages at major international technology and AI conferences in London (The AI Summit London 2026, PyData London 2026, PyData London 2025, KubeCon + CloudNativeCon Europe 2025). Each listing proves their stage appearance with a direct link to the published conference agenda.
- Can I get their contact details or fee?
- No. We hold neither. Every entry links to the agenda page it came from, and that link is the route. It is also the honest limit of what a directory built from public agendas can tell you.
Hiring a speaker in London?
All 135 took a stage in London, and every line carries the agenda link that proves it. Leave your email and we'll open your seat with the next ten — free, no card. Signing up here tells us London is where people are hiring, and that is how we pick the next city to index.
What they spoke about:
Widen the search: every speaker who took a stage in United Kingdom.
Organizing an event? Read our practical guide on how to find speakers for an event using verified public conference agendas.
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