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Mlops Machine Learning Engineer Jobs in Washington, DC

ProSidian Consulting

Machine Learning Engineer

Alexandria, VA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We seek Machine Learning Engineer | Human Capital Technology Support - Intelligent Automation (AI & RPA) [NSF0057057] candidates with relevant Government And Public Services Sector Experience ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively. The core responsibility is to assist in the development, implementation ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Deployment & MLOps * Operationalize models with robust CI/CD workflows. * Deploy models usingMLflow ... Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site

$95K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site +1

$95K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both independently and collaboratively.The core responsibility is to assist in the development, implementation ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

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Showing results 21-40

All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Washington, DC

Mlops Machine Learning Engineer information

See Washington, DC salary details

$35.7K

$145.8K

$219.2K

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

As of Aug 19, 2026, the average yearly pay for mlops machine learning engineer in Washington, DC is $145,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $175,600.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

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

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

What is the difference between Mlops Machine Learning Engineer vs Data Scientist?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning 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 Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in Washington, DC?

For Mlops Machine Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Mlops Machine Learning Engineer jobs in Washington, DC look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Washington, DC are:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,843 per year, or $70.1 per hour.

Machine Learning Engineer with Security Clearance

Stillwater Human Capital

Chantilly, VA • On-site

$179K - $236K/yr

Other

Posted 29 days ago

Job description

Machine Learning Engineer Location: Chantilly, VA Clearance: Active TS/SCI w/Polygraph The Opportunity Stillwater is searching for a Software Developer with expertise in artificial intelligence to join its dynamic team. This position centers on developing and implementing AI solutions to strengthen enterprise-level IT operations. The Machine Learning Engineer will collaborate closely with cross-functional teams to design, develop, and deploy AI-driven applications that enhance efficiency, automate processes, and deliver valuable insights. Responsibilities * Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks. * Implement and optimize algorithms for integrating and deploying large language models (LLMs). * Build RESTful APIs and microservices to serve machine learning models in production environments. * Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles. * Collaborate with cross-functional teams to understand requirements and convert them into technical solutions. * Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases. * Containerize machine learning applications with Docker to ensure consistent deployment across environments. * Use Git for version control and participate in code reviews to maintain code quality. * Conduct testing and debugging of machine learning applications to ensure reliability and accuracy. * Support the deployment and monitoring of AI and machine learning models in cloud environments. * Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices. Qualifications Required * Active TS/SCI clearance with Poly. * Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering. * Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms. * Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL). * Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph. * Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems. * Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment. Desired * Master's degree in computer science or a related field. * Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring. * Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible. * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk. * Contributions to open-source machine learning projects and familiarity with Agile development methodologies. Salary Range: $179,000 - $236,200 The above salary range represents a general guideline. Stillwater considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime and/or discretionary bonuses in addition to base pay. Stillwater is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other protected class. If you need assistance with the application process due to a disability, please contact us at 571-525 2482

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