MLOps Platform Engineer
Reston, VA · On-site
MLOps Platform Engineer Location: Reston VA Required Qualifications • 3+ years of hands-on ... with machine learning workflows, including training, inference, and model monitoring. • ...
MLOps Platform Engineer
Reston, VA · On-site
MLOps Platform Engineer Location: Reston VA Required Qualifications • 3+ years of hands-on ... with machine learning workflows, including training, inference, and model monitoring. • ...
Machine Learning Engineer
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control ...
Machine Learning Engineer
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control ...
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 ...
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 ...
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
AI/ML Platform Engineer
Laurel, MD · On-site
They are seeking a highly motivated AI/ML Platform Engineer to build and deliver AI and machine learning solutions, working at the intersection of software engineering, data science, and machine ...
AI/ML Platform Engineer
Laurel, MD · On-site
They are seeking a highly motivated AI/ML Platform Engineer to build and deliver AI and machine learning solutions, working at the intersection of software engineering, data science, and machine ...
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 ...
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 ...
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
Engineer, Machine Learning
Washington, DC · On-site
The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...
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 ...
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 ...
We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
Quick apply
We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
AI/ML Platform Engineer
Laurel, MD · On-site
You will work at the intersection of software engineering, data science, and machine learning, to ... platform. * You will research and prototype ML algorithms for specific production tasks, measure ...
AI/ML Platform Engineer
Laurel, MD · On-site
You will work at the intersection of software engineering, data science, and machine learning, to ... platform. * You will research and prototype ML algorithms for specific production tasks, measure ...
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 ...
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 ...
Machine Learning Engineer
Herndon, VA · Hybrid
Prior hands-on experience with cloud platforms (AWS, Azure, GCP) and ML services (e.g., SageMaker ... Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, or a closely ...
Machine Learning Engineer
Herndon, VA · Hybrid
Prior hands-on experience with cloud platforms (AWS, Azure, GCP) and ML services (e.g., SageMaker ... Machine Learning, Artificial Intelligence, Data Science, Engineering, Mathematics, or a closely ...
Machine Learning Platform Engineer information
See Washington salary details
$37.57 - $43.93
3% of jobs
$43.93 - $50.29
9% of jobs
$50.29 - $56.65
12% of jobs
$57.45 is the 25th percentile. Wages below this are outliers.
$56.65 - $63.02
13% of jobs
$63.02 - $69.38
12% of jobs
The median wage is $70.22 / hr.
$69.38 - $75.74
16% of jobs
$81.81 is the 75th percentile. Wages above this are outliers.
$75.74 - $82.10
12% of jobs
$82.10 - $88.46
10% of jobs
$88.46 - $94.82
5% of jobs
$94.82 - $101.18
5% of jobs
$101.18 - $107.54
4% of jobs
$37
$72
$107
How much do machine learning platform engineer jobs pay per hour?
As of May 30, 2026, the average hourly pay for machine learning platform engineer in Washington is $72.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $83.61 per hour, depending on experience, location, and employer.
What is a Machine Learning Platform Engineer job?
A Machine Learning Platform Engineer designs, builds, and maintains the infrastructure that enables machine learning development and deployment at scale. They work on areas like data pipelines, model training workflows, monitoring, and cloud or on-premises platforms to ensure ML models run efficiently in production. Their role bridges software engineering and machine learning, focusing on automation, scalability, and reliability to support data scientists and ML engineers in delivering models faster and more effectively.
What are the key skills and qualifications needed to thrive in the Machine Learning Platform Engineer position, and why are they important?
A Machine Learning Platform Engineer should have strong programming skills (especially in Python or Java), knowledge of machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms and scalable infrastructure. Familiarity with containerization tools (such as Docker and Kubernetes), CI/CD systems, and relevant certifications in cloud or machine learning technologies is highly valued. Effective problem-solving, teamwork, and clear communication are crucial soft skills for collaborating across data science and engineering teams. These capabilities enable seamless creation and maintenance of robust, high-performance machine learning platforms for scalable model development and deployment.
What does a typical day look like for a Machine Learning Platform Engineer?
A typical day for a Machine Learning Platform Engineer involves designing, building, and maintaining the infrastructure that supports data science and machine learning workflows. You might spend your time developing new features for the platform, optimizing data pipelines, deploying models, and troubleshooting technical issues alongside data scientists and engineers. Collaboration is key—you’ll often work closely with cross-functional teams to understand requirements, ensure scalability, and improve the overall machine learning lifecycle. This role offers a challenging mix of software engineering and system design, so adaptability and a proactive mindset are important for success.
More about Machine Learning Platform Engineer jobs
What are popular job titles related to Machine Learning Platform Engineer jobs in Washington? For Machine Learning Platform Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Platform Engineer jobs in Washington look for? The top searched job categories for Machine Learning Platform Engineer jobs in Washington are:
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- Reinforcement Learning Engineer
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- Freelance Deep Reinforcement Learning
- Principal Machine Learning Engineer
- Freelance Google Machine Learning Engineer
- Founding Machine Learning Engineer
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- Mlops Machine Learning Engineer
Full-time
Posted 27 days ago
Job description
Job title: MLOps Platform Engineer
Location: Reston VA
Required Qualifications
• 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR.
• Strong experience operating and troubleshooting Kubernetes (preferably AWS EKS).
• Proficiency in containerization (Docker) and orchestration concepts.
• Strong programming/scripting experience in Python and Bash.
• Experience building and managing CI/CD pipelines (GitLab or equivalent).
• Familiarity with machine learning workflows, including training, inference, and model monitoring.
• Experience with infrastructure-as-code (Terraform or CloudFormation).
• Experience supporting production platforms, including incident management and root cause analysis.
Preferred Qualifications
• Experience managing Data Analytics Platforms / Tools (e.g., Domino, SageMaker)
• Experience with ML lifecycle tools such as MLflow, or similar.
• Experience supporting GPU-based workloads or distributed training environments.
• Familiarity with enterprise MLOps architectures and patterns (batch, real-time, microservices).
• Understanding of data processing frameworks and feature pipelines.
Other Competencies
• Strong analytical, troubleshooting, and problem-solving skills.
• Effective communication and documentation abilities.
• Ability to collaborate across engineering, analytics, and product teams.
• Self-motivated with the ability to drive initiatives independently.
• Ability to work in a complex, regulated enterprise environment
Location: Reston VA
Required Qualifications
• 3+ years of hands-on experience with AWS services, including EKS, EC2, S3, IAM, CloudWatch, and ECR.
• Strong experience operating and troubleshooting Kubernetes (preferably AWS EKS).
• Proficiency in containerization (Docker) and orchestration concepts.
• Strong programming/scripting experience in Python and Bash.
• Experience building and managing CI/CD pipelines (GitLab or equivalent).
• Familiarity with machine learning workflows, including training, inference, and model monitoring.
• Experience with infrastructure-as-code (Terraform or CloudFormation).
• Experience supporting production platforms, including incident management and root cause analysis.
Preferred Qualifications
• Experience managing Data Analytics Platforms / Tools (e.g., Domino, SageMaker)
• Experience with ML lifecycle tools such as MLflow, or similar.
• Experience supporting GPU-based workloads or distributed training environments.
• Familiarity with enterprise MLOps architectures and patterns (batch, real-time, microservices).
• Understanding of data processing frameworks and feature pipelines.
Other Competencies
• Strong analytical, troubleshooting, and problem-solving skills.
• Effective communication and documentation abilities.
• Ability to collaborate across engineering, analytics, and product teams.
• Self-motivated with the ability to drive initiatives independently.
• Ability to work in a complex, regulated enterprise environment
About TechTammina
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Chantilly, VA, US
Year founded
2005