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Machine Learning Platform Engineer Jobs in Washington

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Machine Learning Tutor

Laurel, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Machine Learning Tutor

Bowie, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the ...

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

Senior Machine Learning Engineer

North Bethesda, MD · Hybrid

$104K - $143K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You will play a crucial role in the Xometry platform and everything you do will matter.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

R0242757 Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to ...

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

Leverage expertise in machine learning, software engineering, and system architecture to ... Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML ...

Leverage expertise in machine learning, software engineering, and system architecture to ... Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML ...

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Machine Learning Platform Engineer information

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:
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:
Infographic showing various Machine Learning Platform Engineer job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.

Requirements • Advanced degree in in computer science, mathematics, physics, statistics. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Experience with cloud computing infrastructure. • Experience with Computer Vision, image processing and video analytics. • Experience with Natural Language Processing/ Natural Language Understanding. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). • Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: • Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. • Knowledge on principles of A.I. Security and Safety. • Experience with Advance Reinforcement Learning Paradigms. • Experience with Speech Recognition. • Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1