Machine Learning Engineer – San Diego, California

Location: San Diego, California

Clearance Required: Active DoD Cleared

Cloud Computing Technologies AI (CCT AI) is actively building our pipeline of Machine Learning Engineers to support advanced analytics, artificial intelligence, and mission-critical decision support systems for Department of Defense programs. Our teams develop and deploy machine learning capabilities that operate inside real-world defense environments, supporting operational intelligence, predictive analytics, and autonomous data processing.

We are seeking Machine Learning Engineers who understand both the technical and operational realities of working within DoD environments. This role involves engineering production-grade machine learning systems that operate reliably, securely, and efficiently across cloud and mission infrastructure.

This opportunity is ideal for engineers who have supported defense, national security, or Federal programs and want to continue expanding their experience working with modern machine learning technologies supporting real-world missions.

Cloud Computing Technologies

Cloud Computing Technologies is a Federal AI, cloud, and data engineering company supporting national security missions. We specialize in designing, deploying, and sustaining advanced analytics, artificial intelligence, and cloud platforms that enable Federal agencies to make faster, more informed decisions.

Our engineers support programs involving operational analytics, mission data platforms, AI-enabled decision support, and secure cloud environments across the Department of Defense.

We are actively building a long-term pipeline of cleared Machine Learning Engineers for multiple current and upcoming Federal programs.

Responsibilities as a Machine Learning Engineer

• Design, develop, and deploy machine learning models supporting mission analytics and operational systems
• Engineer scalable machine learning pipelines using Python
• Prepare and process large datasets for model training and inference
• Deploy machine learning models into production environments
• Support model testing, validation, and performance optimization
• Integrate machine learning capabilities into mission applications and platforms
• Collaborate with data engineers, analysts, and mission stakeholders
• Develop automation supporting model retraining and lifecycle management
• Support real-time and batch analytics workflows
• Document machine learning systems for operational use and sustainment
• Support deployment within secure and controlled DoD environments
• Continuously improve model accuracy, efficiency, and reliability

Qualifications and Requirements

• Active DoD Cleared
• Experience supporting Department of Defense or Federal programs
• Strong Python programming experience
• Experience developing and deploying machine learning models
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience working with large datasets
• Experience with cloud platforms such as AWS, Azure, or Oracle Cloud
• Experience supporting production systems
• Understanding of machine learning lifecycle and deployment practices
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)

We Will be Ecstatic With

• Experience supporting Navy, NIWC, NAVWAR, SPAWAR, or other DoD programs
• Experience deploying machine learning models in operational environments
• Experience supporting mission analytics or operational intelligence systems
• Experience with Databricks or Spark
• Experience with MLOps and automated model deployment
• Experience working in classified or controlled environments
• Experience supporting real-time analytics systems
• Experience supporting AI initiatives within defense environments
• Experience with containerization technologies such as Docker
• Experience supporting secure cloud environments

Benefits, Perks, and Compensation

• Highly competitive compensation based on experience and technical depth
• Opportunities supporting mission-critical national security programs
• Career advancement opportunities across multiple Federal AI and cloud programs
• Access to modern machine learning and cloud technology stacks
• Long-term program stability
• Opportunity to work with highly skilled Federal engineering teams
• Flexible program placement opportunities
• Opportunities to work on advanced AI and machine learning initiatives
• Professional growth and leadership opportunities

Apply Now

Cloud Computing Technologies is actively building our cleared Machine Learning Engineer talent pipeline.

If you are an Active DoD Cleared Machine Learning Engineer, we strongly encourage you to apply.

Your resume will be reviewed by our Federal program leadership team and retained for consideration across multiple current and upcoming opportunities supporting Department of Defense programs.

Submit your resume today to be considered for this and future Machine Learning Engineering opportunities.

Cloud Computing Technologies AI
Federal Artificial Intelligence • Cloud Engineering • Machine Learning • National Security Systems