As an Oscar-Award winning (Sci-Tech) team, innovation is at the heart of what we do as a company, be this developing new techniques, new ideas or creative new ways to tell our clients’ stories.

Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions.

Who We Are

Framestore combines talent and technology to bring life to everything we create, whether in film, TV, advertising or immersive experiences. Driven by creativity and inspired by the future, we set out every day to reframe the possible.

The Role

We are looking for an experienced developer to join our growing Machine Learning technology team, leveraging the latest research and technology in this rapidly changing area to push the boundaries of what is possible in visual storytelling.

Your main focus in this role will be the research and development of cutting-edge machine learning algorithms and their design, development and implementations as toolsets in VFX production. You’ll work alongside our team of world-class software engineers, R&D tech leads, artists and production team in a fast-paced production environment to shape the future of our machine learning tools.

You’ll also be:

A key figure in discussions that concern strategic development at Framestore by keeping up to date on developments in ML

Mentoring other ML developers via code reviews, inclusive planning processes and technical design reviews

Helping the team ensure strong best practices around agile processes, coding standards and software design

Core Experience

Experience with deep learning frameworks such as PyTorch or TensorFlow

Strong knowledge of linear algebra, statistics and optimisation

Demonstrable experience with team and workflow management - including mentoring and code reviews

Desirable Experience

Familiarity with Agile/Scrum methodologies

Experience of the use of source control systems, revision management and maintenance

A degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Machine Learning or other related fields

Work Arrangements

At Framestore, we offer a flexible work arrangement where employees have the option to split their work time between home and office. The ML team have two weekly project days on Mondays and Thursdays where office attendance is mandatory so candidates should be able to commute easily when necessary. 

Application Process

To apply, please complete the linked application form above or if you are unable to use that link you can submit your resume to recruiters@ with the subject line: [Senior Machine Learning Developer - London].

Here is a short video of what it's like to work as part of our amazing Framestore Technology team!