About the role
We are looking for a Senior ML Systems Engineer with 5+ years of experience to build and optimize the infrastructure that enables our scientists to train, evaluate, and deploy cutting-edge AI models at scale. You will join a small, senior-leaning team working on large-scale multimodal datasets and high-performance compute, owning the full stack from data ingestion to production inference. We are seeking a product-minded engineer who thrives on solving complex problems with a high degree of autonomy and is excited to get closer to PhD-level AI research in the film industry.
What will you be doing?
- Build and evolve a data platform for curating large multimodal datasets (video, embeddings, metadata).
- Improve and scale ML training infrastructure and data loading pipelines using PyTorch and Ray.
- Develop systems and tools for dataset inspection, model evaluation, and A/B experimentation.
- Design and maintain infrastructure for model versioning, lifecycle management, and promotion to production.
- Own and optimize production inference pipelines, including parallelizing models across GPU infrastructure to maximize performance.
About Flawless
Flawless is a generative AI company pioneering AI-powered tools for professional filmmakers and the entertainment industry. Its flagship product, TrueSync, enables perfectly lip-synced visual dubbing in multiple languages, while DeepEditor allows filmmakers to modify filmed dialogue and performances in post-production without costly reshoots. Its customers include major Hollywood studios and advertising brands seeking scalable, ethical AI solutions for content localization and production.
Required skills
Other roles at Flawless
Job details
Salary
£100,000 - £155,000
Location
London
Funding
Total raised
$39.9M
Last stage
Series A
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
