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Aws Machine Learning Engineer Jobs in Virginia (NOW HIRING)

Samprasoft

Machine Learning Engineer

Mclean, VA

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

ICONMA

Machine Learning Engineer

Mclean, VA

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning ... Python, AWS, Kubernetes, Kubeflow, MLOps, ML Tooling - Spark, Pandas, Numpy * Good to have: Data ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.

ManTech

Machine Learning Engineer

Herndon, VA

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Manage and deploy cloud-based ML services across major cloud computing environments, including AWS ...

1872 Consulting

Machine Learning Engineer

Reston, VA

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... AWS) * Experience designing, implementing, and transitioning to AI/Client cloud based frameworks ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you ... Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you ... Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you ... Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you ... Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

Cymertek

Machine Learning Engineer

Reston, VA

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Razor Talent

Machine Learning Engineer

Mclean, VA

$2.0K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... • Linux/Docker/AWS familiarity • U.S. citizenship Preferred Qualifications • Distributed ...

Cymertek

Machine Learning Engineer

Vienna, VA

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Chantilly, VA

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Cymertek

Machine Learning Engineer

Tysons, VA

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

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All JobsAws Machine Learning Engineer JobsAws Machine Learning Engineer Jobs in Virginia

Aws Machine Learning Engineer information

See Virginia salary details

$31.2K

$127.7K

$191.8K

How much do aws machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for aws machine learning engineer in Virginia is $127,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS Machine Learning Engineer, and why are they important?

To thrive as an AWS Machine Learning Engineer, you need strong proficiency in machine learning algorithms, programming languages like Python, and a solid understanding of cloud architecture, typically supported by a degree in computer science or a related field. Familiarity with AWS services such as SageMaker, Lambda, and S3, as well as relevant certifications like AWS Certified Machine Learning – Specialty, is highly valuable. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These skills ensure successful design, deployment, and optimization of scalable machine learning solutions on AWS that meet business needs.

What are AWS Machine Learning Engineers?

AWS Machine Learning Engineers are specialized professionals who design, build, deploy, and manage machine learning models using Amazon Web Services (AWS) cloud infrastructure. They leverage AWS tools and services, such as SageMaker, to create scalable and efficient machine learning solutions for businesses. Their responsibilities include data preparation, model training, optimization, deployment, and monitoring in a cloud environment. AWS Machine Learning Engineers often collaborate with data scientists, software engineers, and DevOps teams to integrate machine learning models into production systems.

How does an AWS Machine Learning Engineer typically collaborate with data scientists and DevOps teams?

As an AWS Machine Learning Engineer, you’ll work closely with data scientists to operationalize models, ensuring they are scalable and production-ready on AWS platforms. You’ll also frequently collaborate with DevOps teams to automate deployment pipelines, monitor model performance, and manage infrastructure using AWS services like SageMaker, Lambda, and CloudFormation. This cross-functional teamwork is essential for maintaining reliable, efficient ML workflows and for quickly resolving issues that arise in live environments.

What is the difference between Aws Machine Learning Engineer vs Data Scientist?

AspectAws Machine Learning EngineerData Scientist
CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, deployment pipelinesData analysis, modeling, research environments
Industry UsageTech, finance, healthcare using AWS for ML solutionsResearch, analytics, business intelligence
Search/Comparison IntentFocus on cloud-based ML deployment and engineeringFocus on data analysis and modeling

While both roles involve working with data and machine learning, Aws Machine Learning Engineers specialize in deploying ML models on AWS cloud platforms, focusing on infrastructure and scalable solutions. Data Scientists primarily analyze data, build models, and generate insights, often using a variety of tools and programming languages. The roles overlap in skills but differ in their primary focus and work environment.

What are popular job titles related to Aws Machine Learning Engineer jobs in Virginia? For Aws Machine Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning Engineer jobs in Virginia look for? The top searched job categories for Aws Machine Learning Engineer jobs in Virginia are:
Aws Machine Learning Engineer jobs near you
Infographic showing various Aws Machine Learning Engineer job openings in Virginia as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 23% Full Time, 70% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,665 per year, or $61.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Mclean, VA

Other

Posted 9 days ago

Job description

GCP/AWS Machine Learning Engineer

Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for taking on new initiatives to design, build, and deploy machine learning models in a client solution-oriented environment. As a member of our team, you will make an immediate impact on building and expanding current technology platforms across AWS and GCP.

What you will do:

  • Work within an agile team that includes members with cross-functional skills
  • Collaborate closely with other functional teams to design, build, test, and deploy AI solutions to address market needs
  • Design and implement Machine Learning algorithms and models into software solutions for our enterprise customers by using common machine learning frameworks, including establishing and training machine learning and deep learning models at scale for computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc.
  • Design, build, and implement cloud native applications using the GCP and AWS services, event streaming technologies, and various open source frameworks
  • Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time to feed machine learning algorithms
  • Incorporate real-time data streams to produce highly predictive features in our models
  • Write understandable, testable, and secure code with an eye towards quality and maintainability.

What we are looking for:

  • At least a Bachelor's degree in Computer Science, Mathematics, related technical field or equivalent practical experience.
  • A blend of data engineering, machine learning, and product innovation skills that let you jump into a fast-paced environment and contribute on day one
  • Familiar with monitoring, deployment tools, platforms and Infrastructure as Code (IaC)
  • At least 5 years of experience designing and implementing software solutions for complex problems
  • At least 3 years of experience with cloud computing platform (AWS and GCP)
  • At least 3 years of experience with Cloud Native Architecture, Docker, Microservices, Kubernetes, EKE/GKE, serverless computing, etc.
  • At least 3 years of experience as a data engineer, with large-scale data ecosystems including data lake, data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
  • Experience with building and deploying ML-based solutions and proficiency in common machine learning frameworks such as TensorFlow, XGBoost, scikit-learn, Pytorch and ONNX and programming languages (Python, Java, Go, etc.

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