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Mlops Engineer Jobs in Virginia (NOW HIRING)

MLOps Engineer Hybrid McLean, VA 12 months Interview Process: - Round 1: 30-minute job-fit interview - Round 2: 1-hour technical coding assessment interview (for candidates who pass job-fit) Must ...

MLOps Engineer

Alexandria, VA ยท On-site

$140 - $200/hr

BizFirstis assisting our client with the hiring of an MLOps Engineer to build andoperate the infrastructure, tooling, and processes that keep machine learningmodels running reliably in production.

New

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...

MLOps Engineer

Mclean, VA ยท On-site

$115K - $150K/yr

Overview We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and automation that enable scalable and reliable machine learning systems across our client ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...

MLOps Engineer

Mclean, VA ยท On-site

$115K - $150K/yr

We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and automation that enable scalable and reliable machine learning systems across our client engagements.

MLOps Engineer

Mclean, VA ยท On-site

$115K - $150K/yr

Overview We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and automation that enable scalable and reliable machine learning systems across our client ...

MLOps Engineer ID72409

Blacksburg, VA ยท On-site

$130 - $170/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

MLOps Engineer ID72409

Richmond, VA ยท On-site

$120 - $180/hr

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the ...

Azure Data & MLOps Engineer

Petersburg, VA ยท Remote

$112K - $134K/yr

The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models. What ...

DEVOPS ENGINEER

Ashburn, VA ยท On-site

$54 - $74/hr

We are seeking an outgoing, strategic Senior DevOps / MLOps Engineer who brings deep expertise in modern software engineering, system architecture, and DevOps practices. This role requires someone ...

DEVOPS ENGINEER

Ashburn, VA ยท On-site

$130K - $180K/yr

We are seeking an outgoing, strategic Senior DevOps / MLOps Engineer who brings deep expertise in modern software engineering, system architecture, and DevOps practices. This role requires someone ...

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Showing results 1-20

Mlops Engineer information

See Virginia salary details

$97.7K

$153.4K

$178K

How much do mlops engineer jobs pay per year?

As of Sep 3, 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.

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 do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

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:

Infographic showing various Mlops Engineer job openings in Virginia as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $153,394 per year, or $73.7 per hour.

MLOps Engineer

PY DATA, INC.

Mclean, VA โ€ข On-site

Other

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


Job description

MLOps Engineer

Hybrid McLean, VA

12 months

Interview Process:

- Round 1: 30-minute job-fit interview

- Round 2: 1-hour technical coding assessment interview (for candidates who pass job-fit)

Must haves:

  • Python
  • MLOps
  • Kubernetes
  • Spark
  • AWS

Job Description:

Data Machine Learning Engineer

Must haves:

- Python

- AWS

- Kubernetes

- Kubeflow (or equivalent workflow experience)

- Spark pandas, NumPy

- ML Ops / ML tooling experience

- Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible)

Nice to haves:

- SQL / data analysis experience

- Databricks

- Additional ML tooling experience (mlplot, Data bricks)

- DevOps familiarity (Jenkins, CICD