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Machine Learning Contract Jobs in Yukon, OK (NOW HIRING)

Experience supporting government contracts and financial systems * Knowledge of federal budgeting ... We integrate artificial intelligence (AI) and machine learning (ML) into our products and processes ...

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Machine Learning Contract information

See Yukon, OK salary details

$11

$19

$26

How much do machine learning contract jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for machine learning contract in Yukon, OK is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $21.49 per hour, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Yukon, OK? The most popular types of Machine Learning jobs in Yukon, OK are:
Infographic showing various Machine Learning Contract job openings in Yukon, OK as of July 2026, with employment types broken down into 60% Full Time, 21% Part Time, 1% Temporary, and 18% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $40,044 per year, or $19.3 per hour.

AI/ML SME with Security Clearance

CACI

Oklahoma City, OK • On-site

Other

Medical, Retirement, PTO

Re-posted 27 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.