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I’m John Sandall, a London-based data science & engineering…
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John Sandall reposted thisJohn Sandall reposted this✅ Day 2 of PyData London 2026 ! Here's what you missed 👇 --- A big big thank you to all our wonderful speakers, attendees, organisers and sponsors for making this event possible 🙌 🚀
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John Sandall shared thisWrapped workshops for PyData London today! Seems like a lot of people really enjoyed Nicolas Makaroff on his workshop on tabular foundation models. Two more days of PyData London to go…and tickets still available… 😉John Sandall shared this✅ Day 1 of PyData London 2026 ! Here's what you missed 👇 --- A big big thank you to all our wonderful speakers, attendees, organisers and sponsors for making this event possible 🙌 🚀
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John Sandall shared thisKanishka Narayan MP the UK’s Minister for AI “learned Python on a Project Jupyter Notebook”! Do feel free to pop down to the PyData London Conference by St Paul’s this weekend Kanishka (or anyone from your team most welcome), you have the world’s largest AI meetup community right on your doorstep, and the entire goal is to raise money that funds open-source projects like Jupyter. 🐍❤️John Sandall shared thisYou can just build things 🇬🇧🚀 Shipping something new for our open-source AI builders at London Tech Week. If you want to join our weekend hackathon, apply below. NVIDIA, Incubator for Artificial Intelligence, ElevenLabs, HP, Nebius, Seb Johnson 📊🇪🇺 Hackathon application link below 👇 https://lnkd.in/gxD_D_-i
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John Sandall shared thisReposting for those in my network who haven't seen how good AI-generated videos are getting. This example isn't about deepfakes, or AI harms, it's just a job advert! Given our work at Coefficient helping the UK government to counter deepfake harms, it's pretty useful getting to know the teams globally in the advertising & film industry who right now are producing the best AI-generated content. What they make creates economic value and joy, not harm, but they're using the same techniques as criminals who use AI maliciously, and it's imperative that we remain at the very cutting edge of what's possible. Rahul Bhardwaj congrats on an amazing year for Valid and good luck with the search.John Sandall shared this📣 We’re hiring Creative Strategists at Valid. If you’re excited about advertising and AI video, this role is for you. The fun thing about AI is that we can make almost anything in a few hours. Production is no longer the bottleneck. Taste is. That’s why we’re building one of the best AI creative strategy teams in the world. At Valid, you’ll: • Work with some of the largest and fastest-growing AI companies • Be paid to learn at the frontier of AI • Drive the products and workflows we use every day • Work alongside the top AI marketers, filmmakers, engineers, and creators. • Ship more creative work in a month than many teams ship in a year We think AI enables anyone who learns quickly. So we’re hiring across all skill levels. From those just entering the space to senior strategists. Interested? Shoot me a DM with your work.
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John Sandall shared thisI'm looking forward to PyData London tomorrow! 🔥 Planning out my workshop track, I've heard great things about Tun Shwe's AI-enhanced talk about MCP telemetry (+ he's using Animal Crossing as an example 🐔), Katrina Riehl is going deep into GPUs & CUDA, Christopher Fonnesbeck on Bayesian Additive Regression Trees (#stats FTW), Nick Radcliffe on test-driven data analysis (I'm excited to see the concept of "linting" data analysis as this could unlock more reliable LLM-driven analysis), and Cheuk Ting Ho on LLM evals. Not to mention a keynote from Pydantic creator Samuel Colvin. 🔥John Sandall shared thisPOV: Your friendly assistant calling you to PyData London 2026 Book tickets (Final release !) 👉 https://lnkd.in/eng2sVBu --- The PyData London conference is a three day event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other. A comfort zone for all you data wizards where - “pandas” isn’t just about cute bears - “SQL” isn’t mispronounced as “sequel” - talking about “random forests” doesn’t make you sound like a lost hiker 📅 When? June 5–7, 2026 📍 Where? Convene Sancroft, St. Paul’s, London Be ready to soak in the knowledge, meet smart folks, discuss a few AI hot takes, and hear some questionable data jokes 😎 Book your ticket 👉 https://lnkd.in/eng2sVBu
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John Sandall reposted thisWe have an amazing set of keynote speakers at PyData London this year and I'm really looking forward to hearing from Samuel Colvin, RL Nabors, Jeremiah Lowin, and Martin O'Reilly. Get your tickets now while you still can!John Sandall reposted thisIt's my own humble opinion, but the best London tech conference is happening in 3 weeks: PyData London 2026! Mark your calendars for June 5-7. We're hosting again at the Convene Sancroft in St Paul's. Not just a beautiful space for a conference, but they have the best snacks, drinks and catering (unanimously decided by attendees last year). Grab tickets to experience it all for yourself (corporate group discounts available). I've dropped the URL in the comments ⤵️ And I don't know how we did it but we've pulled together another incredible lineup of keynote speakers 🔥🔥🔥🔥 Samuel Colvin is a Python and Rust developer and Founder at Pydantic. The Pydantic library doesn't really need an introduction; it's a dependency of pretty much every AI Python library out there. RL Nabors is an AI developer experience leader and product strategist with a high-impact background at AWS, Meta and Microsoft. With a background in web standards and open source, there's nobody I trust more on the topic of the agentic web. Jeremiah Lowin is the Founder/CEO at Prefect and author of FastMCP, the de facto Python MCP framework that's approaching 4 million daily downloads! Martin O'Reilly is the Director of Research Engineering at The Alan Turing Institute, where he leads initiatives to make data science and AI research more reproducible and robust. If you're interested in what these great minds have to say on the current state of the art in data and AI, as well as keep up with best practices in a warm welcoming community, I'll see you there! #PyDataLondon26 #PyDataLondon #PyData #Python #OpenSource #OpenSourceCommunity #AgenticAI
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John Sandall reposted thisJohn Sandall reposted this9 days left 👀 Almost SOLD OUT, last few tickets 👉 https://lnkd.in/eng2sVBu --- The PyData London conference is a three day event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other. A comfort zone for all you data wizards where - “pandas” isn’t just about cute bears - “SQL” isn’t mispronounced as “sequel” - talking about “random forests” doesn’t make you sound like a lost hiker 📅 When? June 5–7, 2026 📍 Where? Convene Sancroft, St. Paul’s, London Be ready to soak in the knowledge, meet smart folks, discuss a few AI hot takes, and hear some questionable data jokes 😎 Book your ticket 👉 https://lnkd.in/eng2sVBu
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John Sandall shared thisWe've got some great speakers for PyData London this year! It's in a couple weeks from 5th-7th June, be great to see some of you there.John Sandall shared thisPyData London is in 2 weeks! Here are my recommended talks for Data Engineers and MLOps practitioners, plus a bonus one! 🌊 Kafka Streaming, the Pythonic Way — Arthur A.. I like the approach of treating Kafka as micro-batches deserialised into Arrow-backed DataFrames, so processing code looks identical whether the source is Parquet or a live topic. You'll get acquainted with Confluent Kafka. The learnings from 10 years of using this pattern in production is the best part. 🛡️ Governance-as-Code for the Lakehouse — Viktor Kessler (Vakamo). Iceberg REST Catalog with OPA/Cedar policy-as-code, engine-agnostic across Spark, Flink and Trino. My day job involves bringing this capability to streaming data so I always appreciate tales of alternative architectural patterns. ⚡️ Columnar Thinking — Kamlesh Shah (Morgan Stanley). Columnar is the way to go for really wide data: cache-sensitive access, SIMD-friendly memory layouts and Arrow's zero-copy format. Looking forward to the mechanical sympathy angle here, beyond the usual Polars vs pandas benchmarks. 📚 Beyond Spark MLlib: Deduplicating Common Crawl at Scale — Ken O. (Lyft). A big problem with preparing training data for LLMs is the amount of duplication. Solved with partition-aware MinHash LSH: 253M Common Crawl documents deduplicated in under 5 hours on a 9-node EMR cluster. If you're building or retraining models on web-scale corpora, this one is for you. 🏰 Build your castle, dig your moat: AI sovereignty, provenance and compliance — Dawn Gibson Wages (Anaconda, Inc.). Self-hosted LLM evaluation, supply chain security and signed models. Sovereign AI is on the strategic roadmaps of all regulated industries and companies using air-gapped environments. Dry subject but you can trust Dawn to make it fun! 💰 SELECT instance FROM cloud WHERE workload = ? ORDER BY cost_efficiency — Gergely Daróczi. Cloud instance selection as a data query problem, backed by an open-source benchmark dataset across thousands of instance types covering gradient-boosted training and LLM inference. Instance picking is still more art than science and I'll take any low-level hardware benchmark data I can get. 🗣️ Vibe NLP for Applied NLP — Ines Montani (Explosion, spaCy). Using LLMs to build NLP systems rather than be the NLP system. Ines is one of my favourite practitioners in the space and LLM-assisted development of small, fast and data-private NLP solutions is the exact kind of pragmatic engineering we need more of. 😓 The Human-in-the-Loop is Tired — 🧐 Laura Summers (Pydantic). I recently wrote about token anxiety so I'm curious about Laura's observations on the peculiar fatigue of holding intent in your head while the machine generates lots of mostly-correct output. Looking forward to learning the patterns so I can recognise it when it's happening. Tickets are selling fast, book yours now (link in the comments) and LMK if you're going! ✌🏽 #PyDataLondon26 #DataEngineering #MLOps #Python #PyData #PyDataLondon
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John Sandall reposted this📣 BLUE14 Investment News! 💰🚀 Better signals = Better acquisition cost. Delighted to annouce our investment in Shumel Lais and John Sandall Cofounders of Day30… Their ‘predictive signals’ Tech helps large subscription app brands TRANSFORM their paid media performance and reduces their reliance on the (self serving) analytics of the Digital Behemoths (Meta, Google etc ) And Results are mind blowing !! In controlled Meta A/B tests, campaigns using Day30’s predictive signals have delivered up to 57% lower CAC. Giving app brands the efficiency AND scale they absolutely need. During months of ‘dating’ , We have been especially impressed with serial entrepreneur Shumel, and now look forward to helping Day30 extend their proposition to major app brands and agency media buyers… …Because much better CAC - makes everybody look good! 🙌 🤩 Big welcome from BLUE14 and supergroup communities .. ❤️🌟
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John Sandall reacted on thisJohn Sandall reacted on thisElizabeth Osanyinro is building PyData Bradford between Leeds and Manchester — and she's got one clear ask for NumFOCUS: A speaker bank. "When you're short of speakers, it can be really difficult having to send cold emails to potential speakers and all of that. If we had a speaker bank — oh, I need a speaker! NumFOCUS, can you get me one?" It's a simple idea with a massive potential impact for local PyData chapters everywhere — especially in smaller cities where networks are thinner, and outreach is harder. MK noted it live: first time they've heard this one. And it landed. I f you're someone who speaks on data, AI, or open source topics and wants to get connected with local communities, drop a comment. Watch the full episode here: https://hubs.la/Q04mkJz60
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John Sandall liked thisJohn Sandall liked thisWell done Arun Muthu for representing our work on deepfake model source tracing at last week's ECS Showcase event that was held on Southampton's Highfield Campus! Our sincere thanks to the organisers for such an amazing event, opened with a ribbon cutting ceremony and inspiring speech from Rt Hon Caroline Nokes MP. In case you missed it, we will be presenting this work again at the UK and Ireland Speech (UKIS) conference next week at Kings College London. Deepfake model source tracing is the third workstream of our project "Deepfakes and Society". Many thanks to my team: Arun Muthu, George Brown, and Sarah Kiden.
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John Sandall liked thisJohn Sandall liked thisA new national centre for AI in policing has launched — and it changes the landscape for technology suppliers working in the sector. PoliceAI, hosted by the College of Policing, brings together operational policing expertise and AI capability under a single body with a clear mandate: responsible, transparent and trusted AI that delivers tangible benefits for officers, victims and the public. Its initial focus areas include automating case file preparation to speed up charging decisions, identifying and categorising child sexual abuse material to reduce officer exposure and support faster investigations, and AI-powered analysis of CCTV and digital evidence to generate early investigative leads. PoliceAI is also establishing the PoliceAI Threat Hub (PATH) to support forces in responding to the criminal misuse of AI, including deepfakes and emerging threats. For suppliers, this is the moment to understand PoliceAI's priorities, align product development with its emerging standards, and engage constructively with the governance frameworks being put in place. Which area of PoliceAI's work do you think will have the greatest impact on frontline policing? #techUKJES #PublicSafety #AI Dave Evans | Cinzia Miatto | Fran Richiusa ----------------------------- 𝗔𝗯𝗼𝘂𝘁 𝘁𝗲𝗰𝗵𝗨𝗞 techUK is a membership organisation that brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve. We collaborate across business, government and stakeholders to fulfil the potential of technology to deliver a stronger society and more sustainable future. 🌱 𝗝𝗼𝗶𝗻 𝗼𝘂𝗿 𝘁𝗲𝗰𝗵 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 🌍 https://orlo.uk/QrYoL
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John Sandall liked thisJohn Sandall liked thisToday marked the official launch of PoliceAI, a significant and timely step forward for innovation in policing. It was a privilege to attend and show my support for the vision behind this initiative: using AI responsibly, ethically and practically to strengthen capability, improve efficiency and support better outcomes for the public. The opportunity ahead is huge, but so is the responsibility. Building trust, transparency and strong governance around AI will be critical as policing continues to explore how emerging technologies can be used safely and effectively. A special mention to Dylan Alldridge Lewis Lincoln-Gordon Alex Murray who will be leading the charge. Their leadership, ambition and commitment will be key to turning this vision into real impact. Excited to see how PoliceAI develops and helps shape the future of policing. #PoliceAI #AI #ResponsibleAI #Innovation #Policing #PublicSector
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John Sandall reacted on thisJohn Sandall reacted on this✅ Day 3 of PyData London 2026 ! Here's what you missed 👇 --- A big big thank you to all our wonderful speakers, attendees, organisers and sponsors for making this event possible 🙌 🚀
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John Sandall liked thisJohn Sandall liked thisIt was great to attend the second day of the PyData London 2026 conference. My highlights were: - Kafka in Python (ok, mostly in Rust) Arthur A. - Deduplicating Common Crawl (ok, mostly in PySpark) Ken O. - Self-hosted data catalogues with Iceberg and Lakekeeper Viktor Kessler - An ensemble on what's going on with agents (a lot, stop rolling your own and learn about new tools) Jeremiah Lowin But what I want to write about is the post-conference pub crawl, where, after a restroom break, I turned the wrong direction and ended up in an underground venue where about 80 Kiwis were watching their team playing England??? in Florida??? The photo was made in the quarter-time break??? I have nothing else to say about the World Cup... The kiwis were super nice, btw, and explained the new rules to me kindly...
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John Sandall reacted on thisJohn Sandall reacted on this✅ Day 2 of PyData London 2026 ! Here's what you missed 👇 --- A big big thank you to all our wonderful speakers, attendees, organisers and sponsors for making this event possible 🙌 🚀
Experience & Education
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Day30
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Volunteer Experience
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PyData London Meetup (11,000+ members)
PyData London
- Present 4 years 3 months
Science and Technology
Organiser for the PyData London Meetup (https://www.meetup.com/PyData-London-Meetup/). This monthly meetup group is one of the world's largest and most active data science meetups with 11,000+ members in the community. Talks focus on use of the open source "PyData stack" of scientific software tools (e.g. Python, pandas, NumPy, SciPy, Matplotlib, scikit-learn, PyTorch) for data analytics, machine learning, deep learning, statistical modelling, Big Data processing, Natural Language Processing…
Organiser for the PyData London Meetup (https://www.meetup.com/PyData-London-Meetup/). This monthly meetup group is one of the world's largest and most active data science meetups with 11,000+ members in the community. Talks focus on use of the open source "PyData stack" of scientific software tools (e.g. Python, pandas, NumPy, SciPy, Matplotlib, scikit-learn, PyTorch) for data analytics, machine learning, deep learning, statistical modelling, Big Data processing, Natural Language Processing, computer vision, and more.
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Co-Chair for PyData London 2022 Conference
PyData London
- 4 months
Science and Technology
In 2022, the PyData London Conference (https://pydata.org/london2022/) brought 450 data scientists/analysts/engineers together with 60 speakers for 3 days of talks, workshops and networking across 3 tracks.
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Committee Chair for PyData Global Conference 2020
PyData Global
- 9 months
Science and Technology
PyData (https://pydata.org/) is a global community of 195,000+ members across 70 countries. PyData Global was the first ever truly global conference, bringing together hundreds of data scientists from across the world in a ground-breaking online format featuring an immersive online space for watching talks, networking and even pub quizzes built fully within https://www.gather.town/
The PyData Global Conference is where users, contributors, and newcomers can share experiences to learn…PyData (https://pydata.org/) is a global community of 195,000+ members across 70 countries. PyData Global was the first ever truly global conference, bringing together hundreds of data scientists from across the world in a ground-breaking online format featuring an immersive online space for watching talks, networking and even pub quizzes built fully within https://www.gather.town/
The PyData Global Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. -
Lead Tutor (Music Workshops)
Shooting Roots
- Present 13 years 5 months
Arts and Culture
Shooting Roots is a folks arts company run by and for young people. We deliver a programme of workshops in traditional theatre, music, dance, craft, song and storytelling at festivals, events, schools and youth groups across the country. Our emphasis is on participation and celebration of the folk arts: encouraging excellence through enjoyment and collaboration, creating original work.
http://shootingroots.org/
Honors & Awards
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Royal College of Science Association Prize nominee
Imperial College Department of Mathematics
Sole nominee from Imperial College Department of Mathematics, for academic excellence and contribution to college life.
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