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

Overview

At Snowflake, we are powering the era of the agentic enterprise. We seek AI-native thinkers across every function who are energized by reinventing how they work. You engage with AI as a high-trust collaborator that accelerates problem solving and impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and approach work with an experimental mindset—rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role is 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 provides 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
• Opportunity to work with world-class experts on challenging projects
• Chance 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
• Things that matter: treated as a member of the Snowflake team, included in meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and 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 internship (from the 3rd year of a Bachelor's 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 databases, 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 summarize 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 (Continued)

• 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 & Empathy: Commitment to transparency, honesty, and understanding in professional interactions.
• Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to continuous improvement.

Additional Offer

This is an excellent opportunity to launch your career in AI/ML by directly supporting high-impact product initiatives, gaining foundational knowledge in technical sales, and contributing to meaningful customer and industry success. If you are a passionate technologist eager to learn and grow, we invite you to bring your curiosity and drive to our team.

Snowflake is growing fast, and we are scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com