At a Glance
- Tasks: Lead the development of cutting-edge ML tools for filmmakers, from data ingestion to production.
- Company: Exciting AI startup revolutionising film editing with innovative technology.
- Benefits: Attractive salary, equity options, and a hybrid work model in London.
- Other info: Dynamic environment with opportunities for growth and innovation.
- Why this job: Join a well-funded startup at the forefront of technology and make a real impact.
- Qualifications: Strong Python skills and experience in building ML infrastructure or data platforms.
The predicted salary is between 80000 - 100000 £ per year.
The opportunity for 2026 with a fast growth start-up. EA are excited to be appointed to help in working with this AI start-up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots.
The Senior ML Systems Engineer will own the full stack from data ingestion through to distributed training and production inference. Importantly, a track record of building ML infrastructure or data platform is required.
- Strong Python backend expertise
- Data platform
- Training infrastructure
- TB-scale video, embedding, and metadata datasets
It's a hybrid role, with a London office, combining a very attractive and competitive salary, and equity. The company is at a genuinely exciting stage, being well-funded, technically advanced, and building something that is at the leading edge of technology with a strong market presence already.
If the timing is right (or if it isn’t but you’re curious), contact immediately at mike@exec-assignments.
(Senior) Machine Learning Engineer employer: Exec Assignments Ltd
Join a dynamic and innovative AI start-up that is transforming the filmmaking industry with cutting-edge technology. As a Senior Machine Learning Engineer, you'll benefit from a competitive salary, equity options, and a collaborative work culture that fosters creativity and growth. Located in London, this role offers the unique opportunity to be at the forefront of technological advancements while working alongside passionate professionals in a supportive environment.
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We think you need these skills to ace (Senior) Machine Learning Engineer
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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