National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Developer

Framestore
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Junior Machine Learning Developer

Junior Machine Learning Developer

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

Demonstrable experience of Software Engineering or other production-related work in a media production/game development company or similar industry

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!

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.