ZipRecruiter

Log In

1

Mlops Engineer Jobs in Virginia (NOW HIRING)

Noblis

AI/ML Engineer, Senior

Chantilly, VA · On-site

$107K - $146K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring. * Deploy and support AI/ML systems within secure, classified, and high side ...

Noblis

AI/ML Engineer, Senior

Chantilly, VA · On-site

$107K - $146K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring. * Deploy and support AI/ML systems within secure, classified, and high side ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Build and support MLOps workflows: model versioning, containerized training/inference, automated ...

ManTech

Artificial Intelligence Machine Learning Engineer

Ashburn, VA · On-site +1

$117K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Research, evaluate and recommend new tools, applications, software packages for MLOps engineering that can be adopted and approved for use in the CBP environment. * Collaborate with cross-functional ...

Noblis

AI/ML Engineer, Senior with Security Clearance

Chantilly, VA · On-site

$118K - $162K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring. * Deploy and support AI/ML systems within secure, classified, and high side ...

SCCI

Junior Engineer/Analyst

King George, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview SCCI is currently seeking a Junior Engineer/Analyst with a focus on DevOps/MLOps to join our team! In this position you will support of the Battle Management System (BMS) Tactical ...

New

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization ... You will define MLOps standards, guide technical delivery, and establish reusable capabilities ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization ... You will define MLOps standards, guide technical delivery, and establish reusable capabilities ...

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization ... You will define MLOps standards, guide technical delivery, and establish reusable capabilities ...

Doist

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization ... You will define MLOps standards, guide technical delivery, and establish reusable capabilities ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

MLOps Operationalization: Set up, establish, and operationalize MLOps practices directly within the ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Karsun Solutions LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

MLOps Operationalization: Set up, establish, and operationalize MLOps practices directly within the ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

previous page

Showing results 41-60

All JobsMlops Engineer JobsMlops Engineer Jobs in Virginia

Mlops Engineer information

See Virginia salary details

$97.7K

$153.4K

$178K

How much do mlops engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for mlops engineer in Virginia is $153,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,338.00 and $165,330.00 per year, depending on experience, location, and employer.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.

What are the most commonly searched types of Mlops Engineer jobs in Virginia?

The most popular types of Mlops Engineer jobs in Virginia are:

What are popular job titles related to Mlops Engineer jobs in Virginia?

For Mlops Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Virginia look for?

The top searched job categories for Mlops Engineer jobs in Virginia are:

What cities in Virginia are hiring for Mlops Engineer jobs?

Cities in Virginia with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $153,394 per year, or $73.7 per hour.

AI/ML Engineer, Senior

Noblis

Chantilly, VA • On-site

$107K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Job description

Responsibilities
Noblis is seeking an experienced AI/ML Engineer to support mission-critical national security initiatives.
In this role, you will design, develop, and deploy advanced machine learning solutions while building the infrastructure required to operationalize AI capabilities in secure, production environments.
Job Responsibilities:
  • Model Development & Deployment
    • Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI.
    • Deploy, manage, and scale production ML workloads on Kubernetes.
    • Integrate AI/ML capabilities into full-stack applications using Python-based backend services and JavaScript frontend technologies.
    • Ensure model reliability, performance, and maintainability throughout the deployment lifecycle.

  • Infrastructure & Operations
    • Architect and implement cloud-native ML infrastructure on AWS.
    • Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment, and monitoring.
    • Deploy and support AI/ML systems within secure, classified, and high side environments.

  • Technical Leadership
    • Evaluate and adopt state-of-the-art AI/ML models, frameworks, and emerging technologies.
    • Architect scalable and resilient infrastructure to support evolving AI/ML workloads and mission requirements.
    • Establish and promote best practices for production-grade machine learning (ML) systems, including security, observability, and governance.
    • Provide technical guidance and thought leadership across AI/ML initiatives and engineering teams.

Required Qualifications
  • Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph
  • Bachelor's degree with 8 years of related experience; OR Master's degree with 7 years of related experience; OR associate's degree with 11 years of related experience; OR High School diploma/GED with 14 years of related experience
  • Production experience deploying ML models, including LLMs
  • Strong proficiency with ML frameworks and containerization (e.g., PyTorch, Docker, Kubernetes)
  • Full-stack development experience (e.g., Python, JavaScript)
  • Working knowledge of AWS cloud services
  • Demonstrated MLOps/DevOps implementation experience
  • U.S. Citizenship is required
#HighlyCleared
Desired Qualifications
  • AWS Certification, including AWS Certified DevOps Engineer or AWS Certified Solutions Architect Certification

Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful work. We also maintain a drug-free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $160,800.00 - USD $251,325.00 /Yr.

Apply