Principal ML Engineer, Cloud Security & MLOps

Jobs Paloaltonetworks

United Kingdom

On-site

GBP 122,000 - 198,000

Full time

14 days+

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Job summary

Palo Alto Networks is seeking a Principal Software Engineer to provide technical leadership in designing and delivering cloud security solutions. You will drive scalable architecture, hands-on coding, and manage the full product lifecycle across teams.

You will lead the ML lifecycle, ML infrastructure, and CI/CD, focusing on security, cost optimization, and collaboration with Product, SRE, QA, and Support to deliver secure, high-quality services.

Qualifications

  • Extensive ML experience with frameworks such as TensorFlow or PyTorch.
  • Experience designing large-scale distributed systems on public clouds.
  • Strong programming ability in Python, Go or Java.
  • Hands-on with Terraform or CloudFormation and IaC practices.
  • Proven lifecycle management of ML models from development to production.

Responsibilities

  • Provide technical leadership for end-to-end cloud security solutions.
  • Design scalable cloud security architecture and drive hands-on implementation.
  • Establish best practices for model versioning, auditing and data privacy.
  • Lead the ML lifecycle from development to production deployment and inference.
  • Build automated CI/CD pipelines for backend and ML components.
  • Evaluate and integrate cutting-edge MLOps tools to improve scale and reliability.
  • Collaborate with Product, SRE, QA, and Support teams.

Skills

ML frameworks
Cloud platforms
Programming languages
Distributed systems
ML lifecycle

Education

Bachelor's degree in CS/Engineering
Master/PhD preferred

Tools

Terraform
CloudFormation

Job description

Palo Alto Networks is seeking a Principal Software Engineer to provide technical leadership in designing and delivering cloud security solutions. You will drive scalable architecture, hands-on coding, and manage the full product lifecycle across teams.

You will lead the ML lifecycle, ML infrastructure, and CI/CD, focusing on security, cost optimization, and collaboration with Product, SRE, QA, and Support to deliver secure, high-quality services.

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