Senior ML Systems Engineer (London)

London
Full-time
Visa Sponsorship

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

Python
Robust production language (C++, Java, Scala, etc.)
Ray
Triton
Apache Iceberg
Spark

Other roles at Flawless

Interested?

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Job details

Salary

£100,000 - £155,000

Location

London

Company

NameFlawless

Funding

Total raised

$39.9M

Last stage

Series A

Investors

MModi Ventures
AAWS Startups
CCollider On The Lot
CClark Investment Group
JJAMCO Capital

Founders

Scott Mann

Scott Mann

Co-Founder & Co-CEO

LinkedIn
Nick Lynes

Nick Lynes

Co-Founder & Co-CEO

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.