We are committed to developing the AI talent and skills pipeline in the UK while supporting cutting-edge research at the intersection of AI and chemistry. Through a combination of training, funding, and community-building activities, we aim to equip researchers and industry partners with the skills and resources they need to succeed.
This page is regularly updated with new opportunities throughout the year. Be sure to check back often, and subscribe to our newsletter or follow us on social media to receive updates directly.
ML Training Schools
Residential events for PhD students/postdocs in foundational & advanced AI topics.
Undergraduate Internships
Fully-funded
8-week internships
prioritising EDI goals.
Webinar Series
Monthly sessions mixing academic, industrial, and policy insights.
Workshops
Focused one-day events to upskill researchers and professionals in specific areas.
Industry Intensive Courses
Upskill staff in emerging AI technologies via tailored training developed with industry partners.
Datathons/Hackathons
Co-organised events with industry partners exploring innovative dataset applications.
Past Opportunities
Explore our previous training opportunities and learn more about past application processes by viewing the archived training below.
Training Resources
This collection of training resources has been carefully selected by members of the AIchemy community for the significant role they have played in supporting their development and deepening their understanding of machine learning in the context of chemistry and materials science. We are grateful to all the authors and curators whose work is featured here, and we acknowledge their valuable contributions to the growing knowledge base in this field.
Resources from our upcoming Summer School and Winter School events will be posted here to support your learning and provide access to the latest training materials.
If you would like to suggest a resource for inclusion, contact us here.
Note: All links are to external websites. While we have found these resources helpful, we do not take responsibility for their content or availability.
Basics
Machine Learning
Software Engineering
Summer & Winter Schools
| Resource | Description | Link |
|---|---|---|
| SQL (Codecademy) | Interactive course on SQL fundamentals. | View Resource |
| Polars | Modern DataFrame library for Python. | View Resource |
| Python Cookbook (David Beazley) | Improve your Python skills beyond the beginner level with practical examples and tips. | Purchase and read the book |
| Resource | Description | Link |
|---|---|---|
| The Basic Tools of the Deep Life Sciences (DeepChem) | Overview of ML tools for life sciences. | View Resource |
| Deep Learning (Ian Goodfellow et al.) | Comprehensive introduction to deep learning concepts. | View Book |
| EPFL CH-457 – AI4Chemistry (Philippe Schwaller) | Modern DataFrame libUniversity course bridging AI and chemistry. | View Resource |
| Neural Networks | Understand the basics of neural networks and how they learn using backpropagation | Watch the Youtube course |
| Deep Learning with PyTorch: A 60 Minute Blitz (Soumith Chintala) | Hands-on introduction to PyTorch. | View Resource |
| Resource | Description | Link |
|---|---|---|
| Let’s Build GPT from Scratch (Andrej Karpathy) | Step-by-step coding of a GPT model. | Watch Youtube Tutorial here |
| The Illustrated GPT-2 (Jay Alammar) | Visual guide to understanding transformers. | View Resource |
CAMMLS Training Resources
Access the training materials from this year’s Chemical and Materials Machine Learning School (CAMMLS), covering core machine learning concepts through…