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Remote Mlops Jobs in Virginia (NOW HIRING)

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, SageMaker, or custom APIs. * Monitor production models for accuracy, drift, and latency; manage ...

McFadyen Digital

Solution Architect - Remote

Vienna, VA · Remote

$63.25 - $83.25/hr

Guide engineering and delivery teams on AI implementation best practices, including MLOps and ... remote job eCommerce & Marketplace Platforms Adobe Commerce (Magento), Salesforce Commerce Cloud ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Remote Work: Hybrid Job Number: R0246710 Location: Ashburn,VA,US Share job via: Share AI/ML ... Experience with MLOps practices including CI/CD for ML, model versioning, monitoring, and ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247936 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246463 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

UNISSANT

AI Developer Engineer

Ashburn, VA · Remote

This is a remote position. The ideal candidate is a hands-on AI/ML engineer who can develop ... Implement MLOps and DevSecOps practices, including git-based workflows, automated testing, CI/CD ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

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All JobsMlops JobsRemote Mlops JobsRemote Mlops Jobs in Virginia

Remote Mlops information

What is a remote mlops?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote mlops engineer?

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, 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 experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What are some common challenges faced by remote mlops engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

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

The most popular types of Mlops jobs in Virginia are:

What are popular job titles related to Remote Mlops jobs in Virginia?

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

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

The top searched job categories for Remote Mlops jobs in Virginia are:

What cities in Virginia are hiring for Remote Mlops jobs?

Cities in Virginia with the most Remote Mlops job openings:

Remote Mlops jobs near you
Infographic showing various Remote Mlops job openings in Virginia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Azure Data & MLOps Engineer

Xtreme Solutions Inc

Petersburg, VA • Remote

$112K - $134K/yr

Full-time

Posted 22 days ago

Job description

Description

CASCOM ESD Enterprise Analytics/AI Program
Schedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required


The Opportunity

This role sits where data engineering, Azure integration, security, and production ML meet.

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 You'll Do
  • Design data-ingestion and system-integration architecture.
  • Connect the analytics environment to authoritative Army systems.
  • Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization.
  • Develop REST API, service, database, file-based, and event-driven integrations.
  • Support structured, semi-structured, and document-based data.
  • Establish model-development and deployment environments.
  • Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring.
  • Deploy models as endpoints, containers, batch jobs, or integrated services.
  • Configure identity, secrets, logging, monitoring, alerting, and security controls.
  • Diagnose data latency, data quality, pipeline, model-endpoint, and integration failures.
  • Develop architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
  • Support Power BI and Power Apps data connections.

Requirements

Must-Have Qualifications
  • Active final Secret clearance.
  • 6+ years of data engineering, cloud engineering, platform engineering, or software integration experience.
  • 3+ years using Microsoft Azure.
  • Hands-on Azure data-engineering experience.
  • Strong SQL and Python skills.
  • Experience building production ETL/ELT pipelines and API-based integrations.
  • Experience deploying or operationalizing machine-learning models.
  • Experience implementing identity, access, secrets, logging, and monitoring within cloud environments.
  • Production experience with at least two major Azure data technologies, such as:
    • Azure Data Factory
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure SQL
    • Azure Data Lake Storage
    • Microsoft Fabric
  • Experience developing REST API, service, database, file-based, or event-driven integrations.
  • Experience with Git, Azure DevOps, or comparable CI/CD tooling.
  • Experience with data validation, schema management, error handling, logging, and recovery.
  • Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.
Strongly Preferred
  • Azure Government, cARMY, IL4/IL5/IL6, GCC High, or comparable restricted Government environments.
  • Azure Machine Learning, Azure OpenAI, MLflow, Docker, Kubernetes, or model-serving technologies.
  • Entra ID, managed identities, Key Vault, RBAC, private endpoints, network controls, and secure secrets management.
  • GCSS-Army, SAP, ERP, Army logistics, or DoD system integration.
  • Data lineage, metadata, governance, and architecture documentation.
  • Power BI gateways, semantic models, or Power Platform integration.
  • Classified-data support experience.
About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.
Equal Employment OpportunityXtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment.Equal Opportunity Employer | Individuals with Disabilities | Protected Veterans

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