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Machine Learning Secret Clearance Jobs in Arizona

RTX

Journeyman Machinist

Tucson, AZ

$31.50/hr

Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security ... OR * An AAS in Machine Tool Technology or equivalent technical education * Pass a practical test ...

Raytheon Technologies

Journeyman Machinist

Tucson, AZ · On-site

$31.50/hr

Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security ... OR * An AAS in Machine Tool Technology or equivalent technical education * Pass a practical test ...

Raytheon

Journeyman Machinist

Tucson, AZ

$31.50/hr

Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security ... OR * An AAS in Machine Tool Technology or equivalent technical education * Pass a practical test ...

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

... a Secret security clearance Nice to Have (preferred skills): * Experience with optical, electro-optical, and/or acoustic (sonar) sensors and their data products * Experience with machine learning ...

ECS

USIEM Elastic Engineer

Sierra Vista, AZ · On-site

$110K - $150K/yr

Minimum Secret Clearance is required * Compliance with DoD 8140 / 8570 IAT Level II certification ... Beats, Machine Learning, and REST API integration * Demonstrated ability to utilize Ansible ...

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Machine Learning Secret Clearance information

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.
What are popular job titles related to Machine Learning Secret Clearance jobs in Arizona? For Machine Learning Secret Clearance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Secret Clearance jobs in Arizona look for? The top searched job categories for Machine Learning Secret Clearance jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Secret Clearance jobs? Cities in Arizona with the most Machine Learning Secret Clearance job openings:
Machine Learning Secret Clearance jobs near you
Infographic showing various Machine Learning Secret Clearance job openings in Arizona as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site

$110K/yr

Other

Posted 14 days ago

Job description

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do
- Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services) - Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
- U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in: - Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring) - Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP) - Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills Preferred Qualifications
- Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) - Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?
At PSG, you’re not just taking a job—you’re building technology that matters.
- Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

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