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Mlops Jobs in Washington (NOW HIRING)

GIGATEC

MLOps Software Engineer

Annapolis Junction, MD · On-site

$205K - $255K/yr

Description: Perks and Benefits * 100% Paid Healthcare * 31 Days PTO * 10% 401k in every paycheck * 100% Fully Vested!!! Do you get excited about learning new technologies, problem solving, and ...

AIToolboard

Full Stack Data Scientist (AI/ML)

Reston, VA · On-site

$120 - $160/hr

This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners ...

Impyrian

DEVOPS ENGINEER

Ashburn, VA · 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 ...

IMPYRIAN

DEVOPS ENGINEER

Ashburn, VA · 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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$109K

$171K

$203.5K

How much do mlops jobs pay per year?

As of Sep 5, 2026, the average yearly pay for mlops in Washington is $171,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,586.00 and $185,744.00 per year, depending on experience, location, and employer.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.

What are the key skills and qualifications needed to thrive as an MLOps engineer?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

Is MLOps outdated?

MLOps is an evolving field focused on deploying and managing machine learning models efficiently. It remains highly relevant as organizations increasingly adopt AI solutions, with skills in automation, cloud platforms, and monitoring tools in demand. Staying current with new tools and best practices is essential for MLOps professionals.

What is the average salary in MLOps?

The average salary for MLOps engineers typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning deployment tend to earn higher salaries.

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

The most popular types of Mlops jobs in Washington are:

What are popular job titles related to Mlops jobs in Washington?

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

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

The top searched job categories for Mlops jobs in Washington are:

What cities in Washington are hiring for Mlops jobs?

Cities in Washington with the most Mlops job openings:

Mlops jobs near you
Infographic showing various Mlops job openings in Washington as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $171,020 per year, or $82.2 per hour.

Senior Data Scientist -- AI/ML & MLOps Lead

AIToolboard

Suitland, MD • On-site

$150 - $210/hr

Other

Re-posted 22 hours ago

Job description

Jobs / Senior Data Scientist — AI/ML & MLOps LeadSenior Data Scientist — AI/ML & MLOps Lead

Full-time

About the Role

Bart & Associates, Inc. is seeking a Lead Data Scientist in Suitland, Maryland, to leverage advanced techniques in extracting insights from complex datasets for the U.S. Census Bureau. This role demands deep expertise in machine learning and advanced data science, ensuring compliance with ethical AI standards.The ideal candidate should hold a PhD and have 15+ years of experience, including managing data science projects. Excellent proficiency in programming languages such as Python, R, and SQL is a must.

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