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Machine Learning Platform Engineer Jobs in Washington

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

MLOps Platform Engineer The Data Modeling Analytics & AI Engineering team is seeking an experienced MLOps Platform Engineer to design, build, and support enterprise-grade machine learning operations ...

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... technology platforms across AWS and GCP. What you will do: * Work within an agile team that ...

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.

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

Overview We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In ... Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed ...

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How much do machine learning platform engineer jobs pay per hour?

As of Jun 18, 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 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.

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 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:
Machine Learning Platform Engineer - Kubeflow 68940

Machine Learning Platform Engineer - Kubeflow 68940

PRIMUS Global Services Inc.

Mclean, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Machine Learning Platform Engineer Kubeflow

We are seeking a Machine Learning Platform Engineer with strong hands-on experience in Kubeflow and ML pipeline orchestration for our client. An ideal candidate will be able to Design, build, and maintain Kubeflow components and pipelines.

Location: McLean, Virginia Or New York City, New York

For Immediate Consideration:

Neetu Chaudhary

Technical Recruiter

PRIMUS Global Services
Direct
Desk Ext. 419

No subcontracting permitted on this position, candidates must work on Primus W2


PRIMUS Global Services logo

About PRIMUS Global Services

Sourced by ZipRecruiter

PRIMUS was established in 2002 in Irving, Texas. From this beginning the company has grown to include services and support locations in the US, UK, Germany, Poland & India. With over 3000 consultants deployed “on project” daily worldwide, PRIMUS brings together the right people and technologies to deliver the results our clients are seeking across a broad range of business initiatives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Irving, TX, US

Year founded

2002

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