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Machine Learning Ops Engineer Jobs in Virginia (NOW HIRING)

Govcio LLC

AI Ops Engineer

Arlington, VA · Hybrid

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... understanding of machine learning concepts and their applications in IT * Experience using ...

Govcio LLC

AI Ops Engineer

Arlington, VA · On-site

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... understanding of machine learning concepts and their applications in IT * Experience using ...

Govcio LLC

AI Ops Engineer

Arlington, VA · On-site

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... understanding of machine learning concepts and their applications in IT * Experience using ...

Govcio LLC

AI Ops Engineer

Crystal, VA · Hybrid

$220K - $240K/yr

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement ... understanding of machine learning concepts and their applications in IT * Experience using ...

Capital One

Lead Machine Learning Engineer

Richmond, VA

$101K - $133K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Mclean, VA

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Richmond, VA · On-site

$101K - $133K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

Engineer, Machine Learning Located: Arlington Summary The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

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All JobsMachine Learning Ops Engineer JobsMachine Learning Ops Engineer Jobs in Virginia

Machine Learning Ops Engineer information

See Virginia salary details

$31.2K

$127.7K

$191.8K

How much do machine learning ops engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning ops engineer in Virginia is $127,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 per year, depending on experience, location, and employer.

What is a machine learning ops engineer?

A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.

What does a machine learning ops engineer do?

A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.

What skills and qualifications are needed to be a machine learning ops engineer?

To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.

Are machine learning ops engineers in demand?

Machine Learning Ops Engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Kubernetes and TensorFlow. The role is expected to grow as organizations prioritize AI-driven solutions and infrastructure automation.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Virginia?

The most popular types of Machine Learning Ops Engineer jobs in Virginia are:

What are popular job titles related to Machine Learning Ops Engineer jobs in Virginia?

For Machine Learning Ops Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Ops Engineer jobs in Virginia look for?

The top searched job categories for Machine Learning Ops Engineer jobs in Virginia are:

Machine Learning Ops Engineer jobs near you
Infographic showing various Machine Learning Ops Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,665 per year, or $61.4 per hour.

AI Ops Engineer

Govcio LLC

Arlington, VA • Hybrid

$220K - $240K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

110th of 226 rated it services

Job description

Overview:

GovCIO is currently hiring an AI Ops Engineer with an active Secret clearance to implement artificial intelligence and automation capabilities within IT operations to improve monitoring, incident response, predictive analytics, and system reliability. This role is based in Arlington, VA, as a hybrid/remote position.

Responsibilities:

Responsibilities:

  • Deploy AI-driven monitoring and operational intelligence solutions.
  • Develop automation for incident detection, response, and remediation.
  • Analyze operational data to identify patterns and predict failures.
  • Implement event correlation and anomaly detection.
  • Integrate AI tools with ITSM platforms.
  • Reduce alert fatigue through intelligent automation.
  • Build dashboards and operational analytics.
  • Improve system availability and performance through AI insights.

Qualifications:

Qualifications:

Bachelor's with 12+ years of infrastructure/cloud engineering experience (or commensurate experience)

Required Skills and Experience:

  • 5–10 years of hands-on experience in IT operations and cloud environments
  • Proficiency with AIOps platforms for automating IT operations
  • Strong understanding of machine learning concepts and their applications in IT
  • Experience using observability tools such as Splunk, Datadog, Dynatrace, and New Relic
  • Expertise in ServiceNow ITOM for IT operations management
  • Advanced Python scripting skills for automation and data processing
  • Proven ability in data analytics to drive operational insights
  • Solid knowledge of cloud operations and best practices and automation frameworks

Preferred Skills and Experience:

  • AI/ML certifications preferred
  • Cloud certifications
  • ITIL Foundation
  • Splunk/Dynatrace certifications beneficial

Clearance Required: Must have an active Secret clearance and be able to attain DEA suitability.

#JP #Bluestone #DICE

Posted Salary Range: USD $220,000.00 - USD $240,000.00 /Yr.

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