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Mlops Engineer Remote Jobs in Reston, VA (NOW HIRING)

DevOps/MLOps Engineer

Ashburn, VA ยท On-site +1

$54 - $74/hr

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... MLOps Engineer to join our team in support of our work with a federal client.This role is ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

Deployment & MLOps * Operationalize models with robust CI/CD workflows. * Deploy models usingMLflow ... Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ...

Machine Learning & Operations Engineer

Arlington, VA ยท Remote

$80K - $108K/yr

... MLOps system and provide other support to teams working on projects involving machine learning ... This is a fully remote position, working cross-functionally with research and engineering teams.

Data Engineer (Databricks) - Remote USA

Reston, VA ยท Remote

$119K - $143K/yr

Prepare, structure, and validate data for data science and MLOps workflows, ensuring it meets the ... Collaborate with UX designers, business analysts, developers, and end users to define data and ...

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Mlops Engineer Remote information

See Reston, VA salary details

$39.5K

$120.5K

$199.2K

How much do mlops engineer remote jobs pay per year?

As of Jul 4, 2026, the average yearly pay for mlops engineer remote in Reston, VA is $120,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,300.00 and $157,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote MLOps Engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What does an MLOps Engineer do, especially in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are the key skills and qualifications needed to thrive as an MLOps Engineer (Remote), and why are they important?

To thrive as an MLOps Engineer, you need a solid background in machine learning, 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, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.
What are the most commonly searched types of Mlops Engineer jobs in Reston, VA? The most popular types of Mlops Engineer jobs in Reston, VA are:
What are popular job titles related to Mlops Engineer Remote jobs in Reston, VA? For Mlops Engineer Remote jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer Remote jobs in Reston, VA look for? The top searched job categories for Mlops Engineer Remote jobs in Reston, VA are:
What cities near Reston, VA are hiring for Mlops Engineer Remote jobs? Cities near Reston, VA with the most Mlops Engineer Remote job openings:
Infographic showing various Mlops Engineer Remote job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,540 per year, or $58 per hour.
DevOps/MLOps Engineer

DevOps/MLOps Engineer

Niyam IT, Inc.

Ashburn, VA โ€ข On-site, Remote

$54 - $74/hr

Full-time

Posted 3 days ago


Job description

About Niyam IT (Niyam)

Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions.


Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.


What We Offer:

  • Flexible Work Hours: Life doesn't always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
  • Remote Work: Niyam understands the value of flexibility. We offer remote work.
  • Career Growth: Niyam is not just a job; it's a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
  • Great People: Our people are the blueprint of who Niyam is to the industry and community.
  • Great Environment: Niyam fosters a great environment where innovation, collaboration, and personal growth thrive.
  • Diversity & Inclusion: We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam.


Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today!


Niyam is seeking a DevOps/MLOps Engineer to join our team in support of our work with a federal client.This role is responsible for designing, automating, and maintaining scalable infrastructure and deployment pipelines that support both traditional software development and AI/ML model lifecycles.The ideal candidate brings a strong foundation in DevOps practices, cloud-native technologies, and MLOps frameworks, with a focus on automation, reliability, and secure operations within regulated environments. This position requires close collaboration with software engineers, data scientists, and cybersecurity teams to deliver resilient and compliant solutions.We offer competitive compensation and benefits. This full-time position will be hybrid to Ashburn, VA. This position is contingent upon award of contract.


Roles and Responsibilities

    • Design, implement, and maintain robust CI/CD pipelines to support continuous integration and delivery of both application code and AI/ML models across development, testing, and production environments.
    • Automate infrastructure provisioning, configuration management, and deployment processes using Infrastructure as Code (IaC) tools to ensure consistency, scalability, and repeatability.
    • Manage and optimize cloud-based environments, leveraging platforms such as AWS, Azure, or GCP to support high availability, fault tolerance, and cost efficiency.
    • Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes) to support scalable, portable, and resilient application and model deployments.
    • Monitor system performance, availability, and reliability using centralized logging, metrics, and alerting tools; proactively identify and resolve performance bottlenecks and system issues.
    • Ensure seamless integration and promotion of code and models across development, testing, staging, and production environments through automated workflows and release management processes.
    • Collaborate with data scientists and ML engineers to operationalize machine learning models, enabling versioning, reproducibility, and continuous model delivery through MLOps best practices.
    • Implement and enforce security best practices across the DevOps lifecycle, including secure configurations, vulnerability management, and compliance with federal security standards.
    • Support system reliability engineering (SRE) practices, including incident response, root cause analysis, and continuous improvement of system resilience.
    • Document infrastructure, pipelines, and operational procedures to support maintainability, auditability, and compliance with federal standards and accreditation requirements.


    Qualifications and Education Requirements:

    • US Citizenship with ability to obtain a Public Trust.
    • Bachelor's degree or higher in Computer Science, Engineering, Information Technology, or a related technical discipline from an accredited institution.
    • Minimum of 4 years of experience in DevOps, Site Reliability Engineering (SRE), MLOps, or a related field supporting enterprise or mission-critical systems.
    • Hands-on experience designing and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar.
    • Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
    • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
    • Proficiency in containerization technologies such as Docker and orchestration platforms such as Kubernetes.
    • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack, or similar).
    • Familiarity with supporting AI/ML workflows and implementing MLOps practices is highly preferred.
    • Understanding of security best practices and experience working within regulated or federal environments (e.g., NIST, FedRAMP) is preferred.
    • Strong problem-solving, troubleshooting, and communication skills, with the ability to collaborate across cross-functional teams.
    • Local to Ashburn, VA and available to work onsite as needed.


    Preferred Skills:

    • Experience supporting federal agencies or working in government contracting environments.
    • Familiarity with model versioning and experiment tracking tools (e.g., MLflow, SageMaker, or similar).
    • Experience with scripting or programming languages such as Python, Bash, or Go.
    • Knowledge of microservices architecture and API-driven development.
    • Experience implementing automated security scanning and compliance checks within CI/CD pipelines.

    Application Deadline:This position will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


    Niyam is an Equal Opportunity ("EEO") Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.If you require a reasonable accommodation due to a disability to complete your application, or if you face challenges using our online application system and need an alternative way to apply, please reach out to us at +1 703.429.2450 or email hr@niyamit.com.