Principal AI​/ML Engineer; SWE

Description

Leidos has a new and exciting opportunity for a Principal AI/ML Engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos
, we offer competitive benefits
, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.
Join us and make a difference in National Security!

Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact.

Here is more about how this program “Delivers Mission Success!”

• Mission Focus
  :
  Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from Dev Ops to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines.
• Technical Proficiency
  :
  Proficiency in Python with Tensor Flow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (Git Lab), Continuous Integration/Continuous Deployment (Git Lab CI/CD), and containerization (Docker, Kubernetes).
• Qualifications
  :
  Bachelor’s degree in computer science or related technical field plus a minimum of eleven (11) to fifteen (15) years of relevant experience.
• Security Clearance Requirement
  :
  Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
• Desirable Skills
  : MLOps, AWS Sage Maker, AWS Bedrock, Gambit, Hub, Jira, Confluence, Docker Hub.

At Leidos
, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!

Come break things (in a good way). Then build them smarter.

We re the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

December 19, 2025

Pay Range $ - $

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, write down

Pay and benefits are fundamental to any career decision. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at

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