Machine Learning Engineer

Remote from: USA
Salary, yearly, USD: 128,800 - 214,500
Department: Software Engineering
Employment type: Full Time,
Job posted: 21 May 2026
Apply before: 21 Jun 2026
Views / Applies: 82 / 18

ManTech delivers technology-driven innovation, develops game-changing solutions, and delivers mission-focused technologies for defense and federal civilian agencies.

Defense & Space
1968

Actively Hiring

AI Summary

MANTECH International Corporation is seeking a Machine Learning Engineer for a future opportunity supporting national security. The role involves building scalable ML applications, implementing MLOps, and collaborating with cross-functional teams. Candidates need a Master's degree and experience with data pipelines, Agile, and Git. An active Secret clearance is required. The position is fully remote with a salary range of $128,800-$214,500.

Job Complexity

Easy Hard

AI Insight The job requires an active Secret clearance, a Master's degree, and expertise in MLOps, cloud services, and multiple programming languages, making it highly specialized and challenging.

Salary Analysis

AI Insight The offered salary range of $128,800-$214,500 is competitive and above the market median for Machine Learning Engineers, reflecting the seniority and clearance requirements.

Key Skills

Machine Learning MLOps Python TensorFlow AWS Agile Development Git Data Pipelines Secret Clearance Cloud Computing

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the Machine Learning Engineer position at MANTECH International Corporation. With a Master's degree in Computer Science and extensive experience in building scalable ML pipelines and deploying models in production, I am confident in my ability to contribute to your mission-driven projects. My expertise in Python, TensorFlow, and cloud platforms like AWS aligns well with the responsibilities outlined. I am particularly drawn to MANTECH's focus on national security and innovation. I look forward to the opportunity to discuss how my skills can support your team.

Possible Interview Questions

Describe your experience with the full MLOps lifecycle. How have you deployed and managed machine learning models in production?

I have implemented MLOps using tools like MLflow and Kubeflow, automating model training, validation, and deployment. For example, I set up CI/CD pipelines on AWS SageMaker to deploy models with A/B testing and monitoring for drift.

Can you explain how you would collaborate with data scientists to design tools and train models?

I would work closely with data scientists to understand their requirements, then build scalable data pipelines and feature stores. I'd also help optimize model training using distributed computing and ensure reproducibility.

What programming languages and ML libraries are you most proficient in? Give an example of a complex model you built.

I am proficient in Python, R, and Java. I built a deep learning model using TensorFlow and Keras for image classification, achieving 95% accuracy by tuning hyperparameters and using data augmentation.

How do you handle version control and collaboration in machine learning projects?

I use Git for code versioning and DVC for data and model versioning. I follow Agile methodologies with sprints and daily stand-ups to ensure iterative delivery and code reviews.

Given the need for a Secret clearance, how do you ensure security and compliance in your ML workflows?

I adhere to security best practices like encrypting data at rest and in transit, using role-based access control, and following government compliance standards. I also conduct regular security audits of the ML pipelines.

General information

Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security Clearance Required Secret Remote Type Fully Remote Time Type Full time

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team.

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services, processing large volumes of data. This role involves collaborating with Data Scientists to design tools and train models using data from across the enterprise to support mission and business functions.

Responsibilities include but are not limited to:

Collaborate with cross-functional teams—including data scientists, engineers, and architects—to build machine learning models, training tools, and simulation environments that support business functions.
Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated machine learning models and analytical solutions.
Develop and test ML applications according to requirements, running targeted experiments to optimize overall system performance.
Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn).
Explore and visualize data to uncover key insights and identify specific factors that impact model accuracy and performance.
Manage and deploy cloud-based ML services across major cloud computing environments, including AWS, Azure, or Google Cloud Platform (GCP).
Follow Agile methodologies to deliver production-ready, highly testable code in small, efficient, and continuous iterations.

Minimum Qualifications:

Master’s degree in Applied Mathematics, Statistics, Computer Science, or related fields.
Verifiable work experience defining and implementing data pipelines and machine learning algorithms.
Proficiency in Agile Development and Git Operations.
Experience creating, maintaining, and communicating complex technical documentation for machine learning systems.

Preferred Qualifications:

Experience with the Sponsor’s primary cyber risk and compliance automation tools.

Clearance Requirements:

An active Secret clearance is required.

Physical Requirements:

Must be able to remain in a stationary position 50%.
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
Must be able to exchange accurate information in these situations.

The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at [email protected] and provide your name and contact information.

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