​​senior Mlops Engineer​

Leidos

Base: $107,900.00 - $195,050.00; bonus/equity: not...
Hybrid
Machine learning operations (mlops)
Cloud platforms like aws or azure
Containerization and orchestration tools
Leidos is seeking a Senior MLOps Engineer for its Department of War enterprise data and analytics program. The ideal candidate will have extensive experience in machine learning operations, cloud platforms, and cybersecurity practices, contributing to mission-critical capabilities for the Department of Defense

Job Summary

  • This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies.
  • You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
  • Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.

Matching Summary

Match Score: 85

Leidos is seeking a Senior MLOps Engineer for its Department of War enterprise data and analytics program. The ideal candidate will have extensive experience in machine learning operations, cloud platforms, and cybersecurity practices, contributing to mission-critical capabilities for the Department of Defense.

Salary

Base: $107,900.00 - $195,050.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • machine learning operations (MLOps)
  • cloud platforms like AWS or Azure
  • containerization and orchestration tools
  • machine learning model lifecycle management
  • CI/CD pipelines and version control
  • system engineering and cybersecurity
  • site reliability engineering (SRE)

Nice-to-have

  • AI/ML frameworks such as TensorFlow or PyTorch
  • familiarity with DoD standards and policies
  • DevSecOps practices and tools
  • strong communication and documentation skills
  • ability to work in complex stakeholder environments
  • mission-driven and impact-focused mindset

Key Requirements

  • Bachelor’s degree in Computer Science or related field
  • Minimum 8 years experience in MLOps or related fields
  • Top Secret clearance required to start
  • TS/SCI with CI Poly clearance preferred
  • Experience with AI/ML frameworks preferred
  • Experience with cybersecurity compliance
  • Master’s degree preferred

Work Rights

Top Secret clearance required to start

Tailored Resume

Cover Letter