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How much do machine learning secret clearance jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for machine learning secret clearance in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer with Secret Clearance, and why are they important?

To thrive as a Machine Learning Engineer with Secret Clearance, you need a solid background in computer science, mathematics, and machine learning theory, typically supported by a relevant degree and eligibility for security clearance. Familiarity with frameworks like TensorFlow or PyTorch, programming languages such as Python, and secure data handling protocols is essential, and certifications like CompTIA Security+ can be valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with interdisciplinary teams in sensitive environments. These skills ensure the development of robust, secure, and innovative AI solutions that meet strict government or defense requirements.

What is the difference between Machine Learning Secret Clearance vs Data Scientist with Secret Clearance?

AspectMachine Learning Secret ClearanceData Scientist with Secret Clearance
Required CredentialsSecurity clearance, specialized machine learning knowledge, programming skillsSecurity clearance, statistical, programming, and data analysis skills
Work EnvironmentGovernment agencies, defense contractors, classified projectsGovernment agencies, private sector, research institutions
Employer & Industry UsagePrimarily defense, intelligence, aerospaceWide range including government, tech, finance
Common Search & ComparisonYesYes

Both roles require security clearance and technical expertise, but Machine Learning Secret Clearance focuses more on developing AI models for classified projects, while Data Scientist with Secret Clearance emphasizes data analysis and insights across various sectors. The roles often overlap in government and defense sectors, but differ in specific skill sets and project focus.

What unique challenges might I face working as a Machine Learning Engineer with Secret Clearance, and how does this affect daily responsibilities?

Working as a Machine Learning Engineer with Secret Clearance often involves handling sensitive or classified data, which introduces unique challenges such as adhering to strict security protocols and limited access to certain resources or external tools. Your daily responsibilities may include developing models in secure environments, collaborating closely with cross-functional teams cleared at similar levels, and ensuring all work complies with government regulations. While the work can be highly impactful and intellectually stimulating, it requires strong attention to detail, adaptability, and an understanding of data security practices.

What is a Machine Learning Secret Clearance job?

A Machine Learning Secret Clearance job involves developing and implementing machine learning models and algorithms within organizations that require employees to hold a U.S. government Secret security clearance. These roles typically support classified projects for government agencies or defense contractors, ensuring that sensitive data and methods are handled securely. Professionals in these positions combine expertise in artificial intelligence with knowledge of security protocols, working on tasks like data analysis, predictive modeling, and automation within a secure environment. The Secret clearance requirement demonstrates an individual's trustworthiness and eligibility to access classified information, which is essential for national security work.
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Machine Learning Secret Clearance jobs near you
Sr. Data Scientist/Machine Learning Engineer- Huntsville, Alabama

Sr. Data Scientist/Machine Learning Engineer- Huntsville, Alabama

Davidson Technologies, Inc.

Huntsville, AL • On-site

$180K - $206K/yr

Full-time

Posted 22 days ago

Job description

Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.

Davidson is seeking a Senior Data Scientist/Machine Learning Engineer in Huntsville, Alabama to design, build, and deploy ML systems to control and optimize VLF transmissions. Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. You will take models from concept through production deployment (MLOps) and ensure they operate reliably in mission-critical environments.

*Contingent Upon Award*

Job Responsibilities: 

  • Develop ML models to leverage weather and environmental data feeds for disaster event prediction
  • Build predictive models to improve preventative maintenance capabilities
  • Help to integrate models into decisions systems that optimize transmission system operations and performance
  • Translate model outputs into actionable, explainable recommendations
  • Collaborate with engineering team (RF, Systems, Software) to deploy models into real-time production systems
  • End-to-end ML lifecycle management using MLOps best practices
  • Communicate complex technical concepts clearly to engineers and customers
  • Contribute to system architecture decisions for scalable/reliable Al/ML solutions


Job Requirements:

  • Bachelor's degree or higher in Data Science, Computer Science, Engineering, Physics or related field
  • 8+ years of experience in applied data science or machine learning roles
  • Strong foundation in machine learning and statistical modeling
  • Demonstrable experience translating stakeholder requirements into technical ML strategies that deliver tangible customer value
  • Hands-on experience deploying ML models into production environments
  • Practical experience with MLOps (model pipelines, monitoring, reproducibility)
  • Must be a U.S. citizen

Preferred Qualifications:

  • Familiarity with RF systems, signal propagation, or electromagnetic modeling
  • Familiarity with surrogate modeling of physics-based systems, such as weather
  • Familiarity with predictive maintenance (CBM+)
  • Experience integrating ML into real-time systems

Clearance:

  • Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance

Job Posted by ApplicantPro