Sr. ML Platform Engineer - ML Ops

Synthesia; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative company is seeking a skilled ML Platform Engineer to join their dynamic team. This role involves developing and managing a high-scale compute and data platform to empower research teams in building AI models efficiently. You will work with cutting-edge technologies like Kubernetes and Cloud Native solutions, while also collaborating closely with researchers to optimize their workflows. With a hybrid work model and a strong emphasis on career growth, this position offers an attractive compensation package, including salary, stock options, and bonuses. Join a forward-thinking organization that is reshaping the future of video communication!

Benefits

Attractive compensation package

Hybrid work setting

25 days of annual leave

Great company culture

Referral scheme

Strong opportunities for career growth

Qualifications

• 5+ years of industry experience in ML Platform Engineering.
• Strong coding skills in Python with a focus on documentation.

Responsibilities

• Develop and manage the cloud infrastructure for AI model training.
• Collaborate with researchers to enhance workflows and efficiency.

Skills

Kubernetes

Cloud Native Technologies

Infrastructure as Code

Python

CI/CD

Data Pipelines

Workflow Orchestrators

Nvidia Triton

Education

Bachelor's in Computer Science

Master's in a relevant field

Tools

AWS

GCP

Azure

Job description

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 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?

You will join the ML Platform Team to further develop our high-scale compute & data platform. Our goal is to empower research teams to develop AI models at scale quickly and efficiently. The team manages the entire cloud infrastructure and tooling that our researchers use to collect data & train 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 tooling from 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
• Experience deploying large deep learning models in production, e.g., using Nvidia Triton (a big plus)
• Strong coding skills in Python, with attention to technical debt & documentation
• Enjoy collaborating with Researchers / Data Scientists to improve their workflows
• Excellent verbal and written communication skills in English and passion for your work

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 regular planning and social events at our hubs
• Referral scheme for recommending talented people
• Strong opportunities for career growth