Applied Field Engineer AI/ML Intern (3 months) - London 2026

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. Your role isn’t just to execute a function, but to help redefine the future of how work gets done.

Position Overview: We are seeking a highly motivated and curious individual to join our team as an AI/ML Specialist Support Intern in the Applied Field Engineering team. This role is designed to provide foundational experience by assisting the Specialist in combining technical learning with the interpersonal skills and curiosity required to drive sales and innovation in this rapidly evolving market.

What we offer:

• Paid, full-time internships in the heart of the software industry
• Post-internship career opportunities (full-time and/or additional internships)
• Exposure to a fast-paced, yet fun, startup culture
• A chance to work with world-class experts on challenging projects
• Opportunity to provide meaningful contributions to a real system used by customers
• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
• Treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more
• Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
• Embraced as a full member of the diverse Snowflake engineering team

What we expect:

• Must be actively enrolled in an accredited college/university program during the time of the internship (from 3rd year of Bachelors degree, MS or PHD in progress)
• Duration: 3 months
• Target start dates: August onwards
• Fluent English language skills (oral and written)

Essential:

• Generative AI: Strong interest and foundational understanding of using LLMs and related technology (e.g., vector dbs, embeddings, Agents) for applications like chat assistants or unstructured data processing.
• Machine Learning: Academic or project experience with the standard Python stack, including libraries such as pandas, numpy, and sklearn.
• Programming: Intermediate coding ability in Python (production grade code is not required).

Highly Desirable:

• Solution Awareness: Familiarity with the basic principles of architecting scalable technical solutions across diverse industries.
• Snowflake Experience: Basic exposure to or interest in the Snowflake AI/ML ecosystem.
• Data Engineering: Exposure to adjacent/overlapping disciplines is beneficial.
• ML Ops: Foundational understanding of ML Ops concepts like feature stores or model registries.

What you will learn/gain:

• Sales Support & Learning: Observe and assist the team in technical sales activities to learn how AI/ML solutions are positioned within the sales engineering organization.
• Technical Assistance: Conduct research on AI/ML solution design topics, including best practices for scalability, performance, and security. Assist with the development and testing of initial AI/ML prototypes in Python under the direction of the team. Monitor industry advancements and summarise findings to identify potential opportunities for integrating new technologies.
• Customer Engagement Support: Help prepare materials, slides, and talking points for technical presentations, workshops, and demonstrations aimed at customers and partners. Document initial findings during customer challenges to support the team’s troubleshooting efforts.
• Team Collaboration: Assist the team in fostering collaboration with product teams. Support alignment with sales, marketing, and the wider ecosystem (GSIs, CSPs, ISVs) by preparing summary reports and tracking follow-up items. Contribute to initial research or drafting for thought leadership content, such as blog posts, white papers, or quickstarts.

What we expect:

• Curiosity & Learning: Eagerness to learn about industry trends and align with technical sales strategies.
• Effective Communication: Ability to clearly articulate technical concepts and a willingness to improve presentation skills for diverse audiences.
• Customer Focus: Interest in understanding and contributing to addressing customer needs.
• Team Player: Proactive in supporting and collaborating with cross-functional teams.
• Adaptability: Comfortable navigating ambiguity and adapting to rapid changes.
• Integrity and Empathy: Commitment to transparency, honesty, and understanding in professional interactions.
• Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to continuous improvement.