Description
Leidos’ Security Enterprise Solutions (SES) operion is seeking a motived and talented Senior Machine Learning Engineer to join our multidisciplinary, highly energized, and expert da science team. Leidos is a leading innovor in deploying AI solutions, and we are dediced to pushing the boundaries of technology and da-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security.
We are seeking a Senior Machine Learning Engineer to work on MLOPS th support the testing, and release of object detection algorithms for our portfolio of products th help safeguard the flow of cargo and vehicles through ports and borders worldwide. The ideal candide is a senior level individual contributor and subject mter expert, who excels taking requirements defined by business needs and genering MLOPS solutions.
Key Responsibilities:
Develop, train, and evalue machine learning models using modern MLOps practices and frameworks
Design and maintain reproducible training pipelines th support scalable and repeable experimention
Collabore with cross-functional teams to integre models into operional systems and workflows
Optimize model performance and reliability through continuous monitoring, testing, and iterion
Required Qualificions:
Da Science & Technical Foundion
MS or Ph.D. in Da Science, Engineering, Applied Science or a similar discipline and a minimum of 10 years of industry experience
Ability to support the full ML lifecycle, from da preparion and training to deployment and monitoring
Experience tracking experiments, model performance, and model versioning using a plform like MLflow to ensure transparency and auditability
Experience with da versioning frameworks like DVC, MLFlow Daset, or LakeFs
Experience deploying and managing machine learning models in production environments using Docker or Kubernetes
Familiarity with modern da stacks e.g., cloud plforms, da warehouses, MLOps concepts
Ability to evalue technical approaches and guide technical decision-making
Strong track record of delivery ownership and cross-functional collaborion
Ability to multitask across projects
Excellent communicion skills, both written and verbal
Some travel is required in support of projects (< 25%)
Ability to obtain and maintain Public Trust access.
Desired / Nice-to-Have Qualificions:
Experience using Kubeflow or Airflow
Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net
Experience working with images from medical, security, or NDT devices
Experience defining da science standards and best practices
Experience in training machine learning models with synthetic da, th can achieve high detection during real-time inference
Experience working on Customs and Border Prol contracts
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the stus quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already step 30 — and moving faster than anyone else dares.
Original Posting:
May 14, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipes th this job requisition will remain open for least 3 days with an anticiped close de of no earlier than 3 days after the original posting de as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compension or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, educion, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market da, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovions. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximely $16.7 billion for the fiscal year ended January 3, 2025. For more informion, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. Th's why we craft compension packages th reflect the importance of the work we do for our customers. Employment benefits include competitive compension, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available www.leidos.com/careers/pay-benefits.
Securing Your Da
Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-reled informion during any part of the employment applicion process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communice with you through emails th are genered by the Leidos.com automed system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhsApp, Telegram, etc. If you received an email purporting to be from Leidos th asks for payment-reled informion or any other personal informion (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediely by emailing us LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discriminion
All qualified applicants will receive considerion for employment without regard to sex, race, ethnicity, age, nional origin, citizenship, religion, physical or mental disability, medical condition, genetic informion, pregnancy, family structure, marital stus, ancestry, domestic partner stus, sexual oriention, gender identity or expression, veteran or military stus, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
