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Mlops Data Engineer Jobs in Virginia (NOW HIRING)

Karsun Solutions

Senior AI Data Engineer

Herndon, VA · On-site

$165 - $180/hr

You will play a pivotal role in setting up and operationalizing MLOps directly within Databricks ... BA or BS degree in Computer Science, Computer Engineering, Data Science, or a related field (Master ...

BizFirst

MLOps Engineer

Alexandria, VA · On-site

$140 - $200/hr

BizFirstis assisting our client with the hiring of an MLOps Engineer to build andoperate the ... This is a foundational role in theclient's growing AI practice, sitting at the intersection of data ...

Staffed4U

Data Engineer

Chantilly, VA · On-site

$110 - $170/hr

Understanding of machine learning workflows and MLOps concepts. * Experience integrating and ... This is an opportunity to work alongside highly skilled engineers, analysts, and data scientists ...

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Aurora, Colorado, USA Data Engineer The Opportunity: Ever-expanding technology and collection ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0239070 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

R0247564 Data Engineer The Opportunity: Ever-expanding technology and collection met hodologies ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

R0246480 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Booz Allen Hamilton

Data Engineer

Chantilly, VA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance

Edgesource

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Agile Defense

Data Engineer

Falls Church, VA · On-site

$150 - $175/hr

Data Engineer Location: Camp Smith, HI Clearance Level: Top Secret, Must Have Clearance to Start ... Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Understanding of machine learning workflows and MLOps concepts. Working at Edgesource: As an ISO ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Virginia

Mlops Data Engineer information

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

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

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

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

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

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

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

What cities in Virginia are hiring for Mlops Data Engineer jobs?

Cities in Virginia with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Platform Data Engineer

Accenture Federal Services

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment.  Develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. Implement automated machine learning pipelines, design systems for model monitoring and performance tracking, and develop tools for model explainability and interpretability. Optimize AI/ML algorithms for performance and scalability, implement MLOps practices for continuous integration and deployment of models, and collaborate with data engineers to ensure data pipelines support AI/ML requirements. Stay current with advances in AI/ML technologies, document AI/ML systems and processes, and provide technical guidance to data scientists implementing models. Troubleshoot complex issues in AI/ML systems, implement version control for models and datasets, and develop testing frameworks for AI/ML components.

Must have:

  • 5 years of experience with data and/or AI/ML
  • Bachelor's degree (or an additional 4 years of experience) 

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position

What Accenture Federal Services employees say

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