Sr. ML Platform Engineer - ML Ops

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Synthesia

Who are we?

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.
Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video.

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….

Meet Synthesia

We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos.

Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s, and more. Read stories from happy customers and what 1,200+ people say on G2.

In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. In 2025, we announced our series D funding. In total, we’ve raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV, and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.


What will you be doing?

In this position, you will be joining the ML Platform Team to further develop our high-scale compute & data platform. Our team's goal is to super-charge the research teams to develop our AI models at scale as quickly and efficiently as possible.

The team manages the entire cloud infrastructure and tooling that our researchers use to collect data & train the models at scale.


Who are you?

  • Background in Computer Science, DevOps, and ML Platform Engineering, with at least 5 years of industry experience.
  • Well-versed in Kubernetes, Cloud Native technologies, and Infrastructure as Code.
  • Experience working with at least one major Cloud Provider (AWS, GCP, Azure).
  • Experience setting up infrastructure at scale for ML/Data Teams, including CI/CD, Data Pipelines, and Workflow Orchestrators.
  • A big plus is experience in deploying large deep learning models in production, for example using Nvidia Triton.
  • Great coding skills in Python and a focus on technical debt & documentation.
  • Enjoys collaborating with Researchers & Data Scientists to improve their workflow.
  • Excellent verbal and written communication skills in English and passionate about what you do!

The Good Stuff...

  • Attractive compensation (Salary + Stock Options + Bonus).
  • Hybrid work setting with offices in London, Amsterdam, Zurich, Munich, or remote.
  • 25 days of annual leave + public holidays.
  • Great company culture with the option to join regular planning and socials at our hubs.
  • Generous referral scheme for recommending amazing people.
  • Strong opportunities for career growth.

Location

    London,UK

Job type

  • Fulltime

Role

Engineering

Keywords

  • ML
  • Platform Engineer
  • Fulltime