If I were a student hoping to get into AI or machine learning, I wouldn’t wait until graduation to start applying. AI/ML internships for September 2026 are already open, giving students and early-career candidates the chance to work on real projects in machine learning, generative AI, computer vision, and AI engineering.
In this article, I’ve gathered a list of AI/ML internship opportunities in India, the United States, and the United Kingdom.
AI/ML Internships for Students
To make your search easier and help you prepare for interviews, I’ve selected some of the most interesting internship openings available this month. Whether you’re interested in generative AI, computer vision, or core machine learning, you’ll find a role here that fits your interests.
Internships in India
Right now, the Indian tech scene is putting a lot of energy into building specialized and scalable AI applications.
- Smart Data Solutions – AI/ML Intern
- Cleanomatics – Agentic AI Intern
- CraticAI – GenAI Developer Intern
- ComplyForge – AI Engineering Intern
- FRND – ML Intern
Internships in the United States
In the US, both big tech companies and new startups are looking for people who are genuinely curious about technology.
- Finastra – AI Engineer Intern
- TIFIN – AI Engineer Intern
- Neuralink – ML Engineer Intern
- IBM – Data Science & AI Intern
- Adobe – ML Engineer Intern
Internships in the United Kingdom
In the UK, you’ll find great roles that combine AI with gaming, strategy, and advanced search platforms.
- Xsolla – AI Engineer Intern
- Thingtrax – Vision AI Intern
- Epic Games – ML Intern
- Perplexity – ML Engineer Intern
- BCG – AI Engineer Intern
If you’re getting ready for GenAI or AI agent roles, I recommend checking out Hands-on GenAI, LLMs and AI Agents. It’s a practical resource for learning about LLMs and building AI agents through real projects.
The Takeaway
Applying for these roles can feel overwhelming, especially when you see all the technical requirements. Here’s something I’ve learned from years of experience: you don’t need to know everything before you apply. What matters most is having the mindset of an AI engineer, which means focusing on solving problems.
Don’t just send in a generic resume. Create a small, focused project. If you’re applying for a GenAI role, try building a custom RAG pipeline and write down the technical challenges you faced. Show the hiring manager that you can design the architecture, not just copy and paste API calls.
I hope you found this article on AI/ML internships for students in September 2026 helpful. For more tips on AI and machine learning, feel free to follow me on Instagram.
