ML Engineer Jobs in Virginia
ML Engineer jobs in Virginia are open across McLean, Arlington, and Richmond and other Virginia metros, with employers like Capital One, Amazon, and Amazon Web Services hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 70+ ML Engineer jobs
Role: AI/ML Engineer - Python & AWS
Location - Reston, VA (In Person Interview at Herndon VA)
Duration: Fulltime/Contract
Onsite: 5 Days Onsite
Job Description
Core Responsibilities (AI/ML, Python, AWS, GenAI)
- Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
- Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
- Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
- Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
- Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
- Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
Rachael
IT Services | Development | Staffing
Email: rachael@sidramtech.com
Direct: 4705239688
Led by 25+ Years of Industry Experience
Role: AI/ML Engineer - Python & AWS
Location - Reston, VA (In Person Interview at Herndon VA)
Duration: Fulltime/Contract
Onsite: 5 Days Onsite
Job Description
Core Responsibilities (AI/ML, Python, AWS, GenAI)
- Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
- Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
- Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
- Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
- Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
- Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
Rachael
IT Services | Development | Staffing
Email: rachael@sidramtech.com
Direct: 4705239688
Led by 25+ Years of Industry Experience
See All 70 ML Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
ML Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One41
- Amazon4
- Amazon Web Services3
- Old Dominion University3
- Idexcel2
Top Industries Hiring
- Banking & Financial Services27
- Technology & Software13
- Fintech8
- Education4
- Consulting & Professional Services3
What Virginia Employers Look For
The qualifications that appear most often in ML engineer jobs across Virginia.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying models in cloud environments like AWS, GCP, or Azure
- Familiarity with MLOps tools and practices including CI/CD pipelines for model deployment
- Strong foundation in statistics, linear algebra, and machine learning fundamentals
- Experience with data processing tools such as Spark, SQL, or distributed computing platforms
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
ML Engineer Jobs in Virginia: Frequently Asked Questions
How many ML engineer jobs are there in Virginia?
There are 70+ ML engineer openings in Virginia on Migrate Mate as of June 2026, with the most roles in McLean, Arlington, and Richmond. New positions post regularly as employers across Virginia hire.
Which Virginia cities have the most ML engineer jobs?
McLean, Arlington, and Richmond have the most ML engineer openings in Virginia right now, with additional roles spread across smaller metros statewide.
Which companies hire ML engineers in Virginia?
Employers hiring ML engineers in Virginia include Capital One, Amazon, and Amazon Web Services, based on current listings on Migrate Mate as of June 2026.
Are there remote ML engineer jobs in Virginia?
Yes. About 14% of ML engineer openings tied to Virginia are remote or hybrid as of June 2026. The rest are on-site roles based in Virginia metros.
How do I apply for ML engineer jobs in Virginia?
You can apply to ML engineer jobs in Virginia directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Virginia location, then apply to each one that fits.
See All 70 ML Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find ML Engineer Jobs