Intern - Animation Studio Launchpad

Job Description

Framestore's 2026 Launchpad Internship offers talented and creative individuals a chance to gain hands-on experience at one of Europe's leading creative studios. Interns will learn through studio work, presentations, a personal project, and informal meetups while collaborating on real projects with experienced artists and technologists. Previous interns have contributed to shows like One Piece, Project Hail Mary & How to Train Your Dragon.
Working within the Machine Learning department as part of the wider Technology team, you'll be part of the team deploying and maintaining machine learning systems in production, ensuring our ML tools run reliably and efficiently in a fast-paced environment.
You'll work alongside our team of world-class software engineers, ML researchers, artists and production team to support the infrastructure that powers our cutting-edge machine learning capabilities. Junior ML Ops Engineers at Framestore play a key role in bridging the gap between research and production, helping deliver scalable ML solutions that push the boundaries of visual storytelling.
• Experience with containerisation technologies such as Docker and orchestration tools like Kubernetes
• Familiarity with ML frameworks such as PyTorch or TensorFlow in a deployment context
• Understanding of CI/CD pipelines and automation tools
• Basic scripting skills in Python and Bash
• Knowledge of cloud platforms (AWS, Azure or Google Cloud Platform)
• Some experience with monitoring and logging tools for production systems
• Understanding of version control systems such as Git
Eligibility Criteria:
• You must currently be in the final year of your studies (BA, MA, PhD etc) or have graduated in the past 12 months
• You must be a UK citizen or have a current resident, student or graduate VISA for the duration of the internship
• You must be available from 6th July - 28th August 2026
We will be closing applications on the 12th April 2026.

Jobcode: Reference SBJ-4kxyny-18-97-14-80-42 in your application.