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Mlops Data Engineer Jobs in Virginia (NOW HIRING)

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud engineering teams to streamline model deployment, monitoring, and lifecycle management in alignment ...

Steampunk

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud engineering teams to streamline model deployment, monitoring, and lifecycle management in alignment ...

Steampunk

MLOps Engineer

Mclean, VA

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud engineering teams to streamline model deployment, monitoring, and lifecycle management in alignment ...

Oteemo Inc.

Sr. Data Engineer

Reston, VA · On-site

$110K - $149K/yr

We're looking for a Senior Data Engineer to design and implement AI features end to end -- from ... Implement MLOps/LLMOps practices -- CI/CD for data workflows, automated agent evaluation, and ...

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

MLOps Operationalization: Set up, establish, and operationalize MLOps practices directly within the ... AI/Data Engineering: 5+ years of proven experience building large-scale data platforms, with at ...

Expression

Data Engineer

Arlington, VA

$131K - $158K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering ... Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure ...

Expression Networks

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering ... Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure ...

Expression

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering ... Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure ...

Staffed4U

Data Engineer

Chantilly, VA

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active ... Understanding of machine learning workflows and MLOps concepts. * Experience integrating and ...

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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.

Data Scientist -US federal Program-(US Citizenship/GC mandatory)

Reston, VA • On-site

HRC Global Services
See more jobs at HRC Global Servicesexternal

Full-time

Re-posted 4 days ago

Job description

Data Scientist – AI/ML (Public Sector Program)

Job Title: Senior Data Scientist – AI / Machine Learning
Location: Remote / Hybrid (U.S.)
Employment Type: Full-Time

About the Opportunity:
A high-impact opportunity with a leading organization supporting large-scale public sector programs. This role involves applying advanced data science techniques, machine learning, and AI to solve complex real-world problems.

Key Responsibilities:

  • Apply advanced statistical and machine learning techniques to solve business problems
  • Build predictive models using regression, clustering, and AI algorithms
  • Translate complex data insights into actionable recommendations
  • Work independently and lead data-driven initiatives
  • Collaborate with cross-functional teams on analytics strategy

Required Skills:

  • 10+ years of total experience (with strong specialization in data science)
  • 5+ years hands-on experience in Python, R, SQL, PySpark or similar
  • Strong expertise in statistics, machine learning, and AI techniques
  • Experience with large datasets and real-world modeling applications
  • Excellent communication and stakeholder interaction skills

Preferred:

  • Advanced degree (STEM)
  • End-to-end ML project delivery experience
  • Exposure to MLOps / Data Engineering

Clearance: Public Trust (or eligible)

Hashtags:
#DataScientist #MachineLearning #AIJobs #Python #PySpark #DataAnalytics #RemoteJobs #PublicSector #HiringNow #TechCareers