Oxford ML school (OxML 2026)
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We’re thrilled to announce that registration for the 7th Oxford Machine Learning School (OxML 2026) is now open!
Register here: www.oxfordml.school/register
OxML is the world’s largest advanced applied AI bootcamp — bringing together top researchers, industry experts, and practitioners from around the world.
The 2026 edition offers three advanced modules, blending rigorous technical depth with practical, hands-on learning — available both in Oxford and online.
(1) MLx Cases
May 2026 | Online | Duration: 6 days
A hands-on, practical programme designed for those who want to build AI models, agents, and products from scratch.
You’ll learn to:
- Develop RL models for gaming and robotics
- Construct diffusion models for images and sequences
- Build a MiniGPT
- Create AI agents for research, programming, and workflow automation
(2) MLx Health & Bio
10–13 July 2026 | Oxford Mathematical Institute & Online (~30 hours | ~12 speakers)
Explore how representation learning, and generative AI are transforming healthcare, biomedical science, and drug discovery.
Topics include:
- AI in Imaging
- Computational biology (Proteomics, Genomics, …)
- Real-world data (EHR, wearable data, …)
- Multi-omics
- Drug discovery
- Population health & epidemiology of diseases
- ...
(3) MLx Rep Learning and Gen. AI
July 2026 | Oxford Mathematical Institute & Online (~30 hours | ~12 speakers)
Stay ahead of the curve in representation learning and generative AI.
This year, we will have a special sub-module on AI for Maths, in collaboration with Renaissance Philanthropy.
You’ll learn about:
- More familiar ML topics such as Bayesian ML, causal inference, …
- Frontier image, language, and video models
- Multi-modal representation learning
- World models and Agentic systems/workflows
- Memory & reasoning models
- Robotics & embodied intelligence
- AI for maths (e.g., symbolic discovery, and theorem proving)
Join us this year to learn, build, and connect with the global AI community.
Places are limited — early registration is strongly recommended.
Note: A 40% discount is offered to all full-time students and applicants in full-time affiliation with organisations in low- and middle-income countries (LMICs).
We look forward to welcoming you to OxML 2026!
Warm regards,
The OxML Team
Oxford Machine Learning School