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Platform Engineer

Faculty· Engineering
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Hybrid (London)Full-timePosted 7mo ago

About the role

Engineer in the Applied AI Platform Team responsible for internal delivery platform, cloud infrastructure, tools, and processes to enable data science, MLOps, and production-grade ML deployments across multiple clouds.

Responsibilities

  • Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability.
  • Contributing to the continuous evolution of our technology stack, from building new features in our notebook development environments to refining model monitoring systems.
  • Collaborating with a small, fast-moving team of customer-facing technologists to design and build the infrastructure our delivery teams need to succeed.
  • Designing and implementing infrastructure-as-code and DevSecOps processes to support distributed, containerised microservices architectures.
  • Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients.
  • Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning.

Qualifications

  • You are an engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.
  • Experience and knowledge of at least one of the major cloud providers (AWS, GCP or Azure)
  • Modern systems programming skills in Python or Go, and ability to select the best-fit technology for complex infrastructure challenges.
  • Practical experience with Docker containerisation and orchestration, to manage distributed systems at scale.
  • Strong background in Infrastructure-as-Code (IaaC) using tools like Terraform or CloudFormation, combined with a deep interest in DevSecOps practices.
  • Thrives in small, ambitious teams with high ownership and ability to communicate with both technical and non-technical peers.

Skills

Required:Cloud provider experiencePython or GoDocker and container orchestrationInfrastructure as CodeDevSecOps practices
Last updated Oct 21, 2026. Interested? Apply on the company site.
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