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

SAIC

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly skilled AI/ML ... Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. * Strong ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... Strong understanding of MLOps practices and supporting tools. * Experience with cloud computing ...

NT Concepts

Software Engineer

Vienna, VA · On-site +1

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... Experience with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML. * Strong ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

A.C. Coy

DevSecOps Architect (Remote)

Falls Church, VA · On-site +1

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... securing MLOps pipelines and implementing security for AI-integrated APIs. * Programming ...

A.C. Coy

DevSecOps Architect (Remote)

Falls Church, VA · Remote

$69.25 - $89.50/hr

This remote contract-to-hire position will be originated in Falls Church, VA. * SELECTED CANDIDATES ... securing MLOps pipelines and implementing security for AI-integrated APIs. * Programming ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... Implement MLOps processes to support model deployment, monitoring, versioning, testing, and ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass ...

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All JobsMlops Engineer Remote JobsMlops Engineer Remote Jobs in Reston, VA

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:
Mlops Engineer Remote jobs near you
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.
AI Systems Engineer

AI Systems Engineer

SAIC

Chantilly, VA • On-site, Remote

$200K - $240K/yr

Full-time

Posted 23 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 207 rated it services

Job description

Job ID: T2601287

Location: Chantilly, VA, US

Date Posted: 2026-03-05

Category: Information Technology

Subcategory: Data Scientist

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is seeking a highly skilled AI/ML Systems Engineer to provide Systems Engineering and Technical Advisory (SETA) support to a mission critical program in Chantilly, VA. In this role, you will directly support the National Reconnaissance Office’s (NRO) Ground Enterprise Directorate (GED)—the organization responsible for architecting, acquiring, and sustaining the nation’s most advanced space and ground systems across their full lifecycle.

As an AI/ML Systems Engineer, you will play a pivotal role in shaping the customer’s AI/ML strategy within a key ground segment. You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge, mission aligned AI/ML capabilities. This position is ideal for engineers who thrive at the intersection of advanced analytics, system engineering, and strategic advisory work.

Active Top Secret Clearance with Polygraph is required.

Key Responsibilities to include:

  • Collaborate with cross functional teams to define AI/ML project goals, success criteria, and development roadmaps that align with mission priorities.
  • Understand and guide the design of advanced AI/ML models and algorithms, ensuring solutions effectively address complex mission challenges and deliver measurable value.
  • Translate mission and business challenges into AI/ML opportunities, clearly articulating benefits, risks, and trade offs to non technical stakeholders.
  • Stay current on emerging AI/ML technologies, introducing best practices, tools, and methodologies to strengthen the customer’s technical posture.
  • Provide mentorship and technical leadership to junior AI/ML practitioners, fostering a culture of innovation and continuous learning.
  • Work closely with customer and vendor data engineers and architects to ensure data pipelines, infrastructure, and compute environments are optimized for model development and deployment.
  • Support vendor teams in rigorous model validation and performance testing, ensuring AI/ML solutions meet mission requirements for accuracy, reliability, and robustness.

Qualifications



Required Education and Experience:

  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree. 
  • Active Top Secret Clearance with Polygraph.
  • Relevant industry experience in designing and implementing AI/ML solutions.
  • Strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
  • Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
  • Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments.
  • Familiarity with DevOps practices, including MLOps, and CI/CD pipelines for AI/ML.
  • Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors.
  • Excellent communication and interpersonal skills, with a proven record of engaging stakeholders and mentoring teams.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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