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Machine Learning Secret Clearance Jobs in Oklahoma

Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental ... This role designs and implements machine learning models within the Data Integration Platform (DIP ...

... machine high performance environments. * NSCA CSCS or CSCCa SCCC certification * Current CPR and AED certification. * Current (or ability to obtain and maintain) Secret security clearance (T3 ...

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Machine Learning Secret Clearance information

What are the key skills and qualifications needed to thrive as a machine learning secret clearance?

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 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?

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 Oklahoma? For Machine Learning Secret Clearance jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Machine Learning Secret Clearance jobs in Oklahoma look for? The top searched job categories for Machine Learning Secret Clearance jobs in Oklahoma are:
What cities in Oklahoma are hiring for Machine Learning Secret Clearance jobs? Cities in Oklahoma with the most Machine Learning Secret Clearance job openings:
Infographic showing various Machine Learning Secret Clearance job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI/ML SME with Security Clearance

CACI

Oklahoma City, OK โ€ข On-site

Other

Medical, Retirement, PTO

Re-posted 8 days ago


Job description

Job Title: AI/ML SME Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The Opportunity: CACI is seeking a skilled AI/ML Subject Matter Expert (SME) to support an enterprise User Experience Management (UXM) initiative focused on transforming IT telemetry into predictive operational intelligence. This role designs and implements machine learning models within the Data Integration Platform (DIP) to enable anomaly detection, root cause analysis, service health prediction, and automated decision support across Air Force digital environments. The SME will work closely with data engineers, analysts, platform architects, cybersecurity teams, and IT operators to operationalize AI-driven insights for proactive enterprise IT management. Responsibilities: * Design and deploy ML models for UXM use cases (anomaly detection, performance forecasting, experience scoring, root cause analysis)
* Develop feature engineering pipelines from logs, metrics, traces, and endpoint telemetry
* Integrate AI/ML capabilities into the Data Integration Platform (DIP) architecture and operational dashboards
* Build and validate MVP models supporting AoA outcomes and UXM operational readiness
* Implement MLOps pipelines (training, validation, deployment, monitoring)
* Collaborate with cybersecurity teams to ensure RMF-compliant model deployment
* Translate model outputs into actionable insights for IT operators and leadership
* Support dashboard specification, analytics requirements, and operational reporting
* DAF Client Collaboration: Proactively collaborate with the DAF to understand their software landscape, installation details, licensing requirements, and specific needs related to the assigned software publishers and products * Project Contribution: Actively participate in project meetings, providing updates on modeling progress, identifying potential challenges, and contributing to the overall success of the project Qualifications: Required: * Active Secret Clearance
* 15+ Years of relevant experience (Bachelor's Degree in applicable field may be substituted for 5 years of experience).
* Minimum 7 years' experience in data science, machine learning, or applied AI (with at least 3 years in operational or enterprise environments)
* Hands-on experience with:
* Python-based ML frameworks (TensorFlow, PyTorch, scikit-learn, or equivalent)
* Time-series analytics and anomaly detection
* ETL/ELT pipelines and enterprise data platforms
* SQL and large-scale datasets
* Experience deploying models into production environments
* Familiarity with observability, ITOM, or UXM telemetry sources
* Prioritization and Management: Ability to prioritize and manage collecting information and modeling multiple publishers and products, while adhering to deadlines and maintaining high-quality work Desired: * Prior DoD or federal IT program experience
* Experience with MLOps frameworks and CI/CD pipelines
* Knowledge of UXM, IT operations analytics, or digital experience monitoring
* Experience working in RMF-controlled environments
* Familiarity with Power BI, Tableau, or similar visualization tools
* Exposure to cloud or hybrid AI deployments
* Analytical and Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to identify and resolve complex issues * Communication and Interpersonal Skills: Excellent communication and interpersonal skills, with the ability to effectively interact with the DAF, internal teams, and external vendors Certifications (One or More Required): * CompTIA Security+ CE (DoD 8570/8140 compliant) Preferred Technical Certifications: * AWS Certified Machine Learning - Specialty
* Microsoft Azure AI Engineer Associate
* Google Professional Machine Learning Engineer
* Databricks Machine Learning Professional - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $94,600 - $208,000 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.