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# Senior Machine Learning Engineer

- **Company:** Leidos, Inc.
- **Location:** Vista, CA, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Cleansing, Data Files, Data Warehousing, Machine Learning, Management of Software Versions, Model Validation, Convolutional Neural Networks, Kubernetes, Operational Systems, Machine Learning Operations, Software Version Control, Docker
- **Published:** August 15, 2026
- **Apply:** https://www.juju.com/job/00000000gn65wg

## About the Role

Data Science & Technical Foundation

 + MS or Ph.D. in Data 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 data preparation and training to deployment and monitoring

 + Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability

 + Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs

 + Experience deploying and managing machine learning models in production environments using Docker or Kubernetes

 + Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

 + Ability to evaluate technical approaches and guide technical decision-making

 + Strong track record of delivery ownership and cross-functional collaboration

 + Ability to multitask across projects

 + Excellent communication 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 Qualifications:

 + 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 data science standards and best practices

 + Experience in training machine learning models with synthetic data, that can achieve high detection during real-time inference

 + Experience working on Customs and Border Patrol contracts

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status 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 at step 30 - and moving faster than anyone else dares.

## Description

+ Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks

 + Design and maintain reproducible training pipelines that support scalable and repeatable experimentation

 + Collaborate with cross-functional teams to integrate models into operational systems and workflows

 + Optimize model performance and reliability through continuous monitoring, testing, and iteration


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