Senior Machine Learning Engineer

Leidos seeks a Senior Software Engineer / Data Scientist to build secure, scalable analytics solutions supporting national security, health, and engineering missions. In this role, you will design and implement data-intensive services, machine learning models, and modern cloud-based architectures that turn complex data into actionable insight for government and commercial clients. You will collaborate with cross-functional teams, mentor junior engineers, and champion best practices in software quality, cybersecurity, and MLOps. Leidos offers flexible work options, strong benefits, and extensive professional development in a mission-driven, inclusive culture.

Responsibilities

• Design, build, and optimize scalable data-driven software solutions for mission-critical systems
• Develop, train, and deploy machine learning and advanced analytics models
• Collaborate with cross-functional teams to translate mission needs into technical requirements
• Implement secure, reliable, and high-performance services and data pipelines
• Review code, mentor junior engineers, and promote engineering best practices
• Integrate solutions with existing enterprise platforms and government systems
• Monitor, troubleshoot, and improve production systems and analytics workflows
• Contribute to technical architecture, design decisions, and documentation

Required Skills

• Python
• Java or C++Machine learning
• Statistical modeling
• SQL and No
• SQL databases
• Data engineering and ETLCloud platforms (AWS/Azure/GCP)
• RESTful APIs and microservices
• MLOps and model deployment
• Linux and containerization (Docker/Kubernetes)