Principal ML Platform Engineer

Synthesia
London
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Communication","Problem-solving","Collaboration","Adaptability","Leadership"]

Senior IC role focusing on building and operating production ML platform systems with a systems mindset. You’ll design, deploy, and automate infrastructure for model training, evaluation, and production serving, balancing reliability, scalability, and cost-efficiency across cloud and GPU-backed workloads.

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FursaFursa
Synthesia
Synthesia
4 months ago

Principal ML Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Senior IC role focusing on building and operating production ML platform systems with a systems mindset. You’ll design, deploy, and automate infrastructure for model training, evaluation, and production serving, balancing reliability, scalability, and cost-efficiency across cloud and GPU-backed workloads.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design and improve the platform systems that support model training, evaluation, and production serving.
  • •Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
  • •Develop internal tools and workflows that are easy to operate both by humans and by agents.
  • •Work on the architecture behind how models are deployed, served, and operated across research and product environments.
  • •Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.

Key Requirements

  • •Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
  • •A systems mindset—thinking in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
  • •Hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
  • •Experience with Kubernetes and operating distributed workloads in production.
  • •Strong programming skills, preferably in Python or similar languages used for backend systems and tooling.
Experience:AIMachine learningSaaS
Skills:CommunicationProblem-solvingCollaborationAdaptabilityLeadership
Tech Stack:PythonKubernetesTerraformDatadogGitHub ActionsLinuxCloud infrastructure

Company Brief

Synthesia
Provides an AI video generation platform that creates realistic synthetic presenters and video content from text, enabling enterprises to produce scalable training, marketing, and communications videos without cameras or actors.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: London, United Kingdom
Founded: 2017
WebsiteLinkedIn