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Senior AI/ML Engineer - Careers at Leidos

Leidos

Senior AI/ML Engineer - Careers at Leidos

full-timePosted: Feb 3, 2026

Job Description

Join Leidos' Chief Data & Analytics Office as Senior AI/ML Engineer

Leidos' Operational AI (Ops.AI) division seeks a Senior AI/ML Engineer to transform cutting-edge models into production-ready solutions powering mission-critical applications. This remote role bridges data science and software engineering, managing the full AI/ML lifecycle in a high-growth organization driving Leidos' technology strategy.

Primary Responsibilities

  • Design, train, and deploy diverse AI/ML models ensuring scalability and performance for critical missions.
  • Implement automated MLOps pipelines for model monitoring, retraining, and lifecycle management.
  • Optimize models in cloud (AWS/Azure/GCP) and on-premise environments for efficiency.
  • Partner with data scientists, engineers, and architects to harden prototypes into production systems.
  • Enforce best practices: Git version control, rigorous testing, CI/CD pipelines.
  • Stay ahead of MLOps trends to elevate team innovation.

Basic Qualifications

  • Bachelor's in CS/Engineering or related +8 years, or Master's +6 years experience.
  • Expert Python; hands-on TensorFlow/PyTorch/Scikit-learn.
  • Proven software engineering: version control, testing, CI/CD.
  • End-to-end ML lifecycle mastery.
  • US Citizen; eligible for security clearance.

Preferred Qualifications

  • MLOps tools: MLflow, Kubeflow, SageMaker.
  • Containerization: Docker/Kubernetes.
  • IaC: Terraform/CloudFormation.
  • Big data: Apache Spark.
  • Cloud expertise; AI ethics/NIST/CMMC compliance.
  • Open-source ML contributions.

Leidos seeks restless innovators who rethink the status quo. If you're plotting step 20 while others debate step 2, apply now. Pay Range: $107,900-$195,050 USD (varies by experience/location). US Remote/Teleworker. Original posting: Jan 6, 2026. Open at least 3 days.

Locations

  • Remote, United States, United States (Remote)

Salary

107,900 - 195,050 USD / yearly

Estimated Salary Rangehigh confidence

107,900 - 195,050 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Scikit-learnintermediate
  • MLOpsintermediate
  • Dockerintermediate
  • Kubernetesintermediate
  • MLflowintermediate
  • Kubeflowintermediate
  • AWS SageMakerintermediate
  • Terraformintermediate
  • Apache Sparkintermediate
  • CI/CDintermediate
  • Version Controlintermediate

Required Qualifications

  • Bachelor's in Computer Science/Engineering +8 years or Master's +6 years experience (experience)
  • US Citizen with ability to obtain security clearance (experience)
  • Full ML lifecycle expertise: data prep to monitoring (experience)
  • Software engineering best practices: testing/CI/CD (experience)
  • Cloud platforms (AWS/Azure/GCP) (experience)
  • AI ethics & federal compliance (NIST/CMMC) (experience)

Responsibilities

  • Design/train/deploy AI/ML models for mission-critical apps
  • Build/automate MLOps pipelines for monitoring/retraining
  • Optimize models for performance/scalability in cloud/on-prem
  • Collaborate to productionize data science prototypes
  • Apply version control/testing/CI/CD best practices
  • Track MLOps trends to enhance team capabilities

Benefits

  • general: Remote/Teleworker flexibility across US
  • general: Competitive pay $107K-$195K with performance incentives
  • general: Comprehensive health/dental/vision insurance
  • general: 401(k) matching & retirement plans
  • general: Professional development & tuition reimbursement
  • general: Mission-driven work in national security innovation

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Leidos logo

Senior AI/ML Engineer - Careers at Leidos

Leidos

Senior AI/ML Engineer - Careers at Leidos

full-timePosted: Feb 3, 2026

Job Description

Join Leidos' Chief Data & Analytics Office as Senior AI/ML Engineer

Leidos' Operational AI (Ops.AI) division seeks a Senior AI/ML Engineer to transform cutting-edge models into production-ready solutions powering mission-critical applications. This remote role bridges data science and software engineering, managing the full AI/ML lifecycle in a high-growth organization driving Leidos' technology strategy.

Primary Responsibilities

  • Design, train, and deploy diverse AI/ML models ensuring scalability and performance for critical missions.
  • Implement automated MLOps pipelines for model monitoring, retraining, and lifecycle management.
  • Optimize models in cloud (AWS/Azure/GCP) and on-premise environments for efficiency.
  • Partner with data scientists, engineers, and architects to harden prototypes into production systems.
  • Enforce best practices: Git version control, rigorous testing, CI/CD pipelines.
  • Stay ahead of MLOps trends to elevate team innovation.

Basic Qualifications

  • Bachelor's in CS/Engineering or related +8 years, or Master's +6 years experience.
  • Expert Python; hands-on TensorFlow/PyTorch/Scikit-learn.
  • Proven software engineering: version control, testing, CI/CD.
  • End-to-end ML lifecycle mastery.
  • US Citizen; eligible for security clearance.

Preferred Qualifications

  • MLOps tools: MLflow, Kubeflow, SageMaker.
  • Containerization: Docker/Kubernetes.
  • IaC: Terraform/CloudFormation.
  • Big data: Apache Spark.
  • Cloud expertise; AI ethics/NIST/CMMC compliance.
  • Open-source ML contributions.

Leidos seeks restless innovators who rethink the status quo. If you're plotting step 20 while others debate step 2, apply now. Pay Range: $107,900-$195,050 USD (varies by experience/location). US Remote/Teleworker. Original posting: Jan 6, 2026. Open at least 3 days.

Locations

  • Remote, United States, United States (Remote)

Salary

107,900 - 195,050 USD / yearly

Estimated Salary Rangehigh confidence

107,900 - 195,050 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • TensorFlowintermediate
  • PyTorchintermediate
  • Scikit-learnintermediate
  • MLOpsintermediate
  • Dockerintermediate
  • Kubernetesintermediate
  • MLflowintermediate
  • Kubeflowintermediate
  • AWS SageMakerintermediate
  • Terraformintermediate
  • Apache Sparkintermediate
  • CI/CDintermediate
  • Version Controlintermediate

Required Qualifications

  • Bachelor's in Computer Science/Engineering +8 years or Master's +6 years experience (experience)
  • US Citizen with ability to obtain security clearance (experience)
  • Full ML lifecycle expertise: data prep to monitoring (experience)
  • Software engineering best practices: testing/CI/CD (experience)
  • Cloud platforms (AWS/Azure/GCP) (experience)
  • AI ethics & federal compliance (NIST/CMMC) (experience)

Responsibilities

  • Design/train/deploy AI/ML models for mission-critical apps
  • Build/automate MLOps pipelines for monitoring/retraining
  • Optimize models for performance/scalability in cloud/on-prem
  • Collaborate to productionize data science prototypes
  • Apply version control/testing/CI/CD best practices
  • Track MLOps trends to enhance team capabilities

Benefits

  • general: Remote/Teleworker flexibility across US
  • general: Competitive pay $107K-$195K with performance incentives
  • general: Comprehensive health/dental/vision insurance
  • general: 401(k) matching & retirement plans
  • general: Professional development & tuition reimbursement
  • general: Mission-driven work in national security innovation

Target Your Resume for "Senior AI/ML Engineer - Careers at Leidos" , Leidos

Get personalized recommendations to optimize your resume specifically for Senior AI/ML Engineer - Careers at Leidos. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior AI/ML Engineer - Careers at Leidos" , Leidos

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Remote US jobsLeidos CareersAI/ML EngineeringMLOps rolesDefense TechnologyEngineeringInformation TechnologySecurity

Answer 10 quick questions to check your fit for Senior AI/ML Engineer - Careers at Leidos @ Leidos.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.