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International Machine Learning Engineer Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Roberts Recruiting

Machine Learning Engineer

Boston, MA · On-site

As a machine learning engineer, you will develop natural language processing systems that help our customers understand their contracts. You will work with a wide range of structured and unstructured ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

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International Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jun 26, 2026, the average yearly pay for international machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

How does an International Machine Learning Engineer typically collaborate with global teams and manage cross-cultural challenges?

As an International Machine Learning Engineer, you'll often work with diverse teams across different countries and time zones. Effective communication and cultural sensitivity are essential to align on project goals, share models, and address data privacy regulations that vary by region. You'll likely use collaborative tools for code sharing and version control, and participate in regular virtual meetings to synchronize efforts. Understanding local data nuances and legal requirements is also a key part of the role, making flexibility and adaptability important for success.

What is an International Machine Learning Engineer?

An International Machine Learning Engineer is a professional who designs, builds, and maintains machine learning systems that operate across multiple countries or regions. Their work involves developing algorithms and models that can handle diverse datasets, languages, and regulatory requirements. They may collaborate with global teams to ensure that AI solutions are both scalable and adaptable to varied cultural and technical environments. This role often requires expertise in machine learning frameworks, data engineering, and knowledge of international data privacy laws.

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

To thrive as an International Machine Learning Engineer, you need a solid background in computer science, statistics, and mathematics, typically supported by a degree in a related field and experience with machine learning algorithms. Expertise in programming languages such as Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms are essential, along with certifications like AWS Certified Machine Learning or Google Professional ML Engineer. Strong problem-solving, cross-cultural communication, and adaptability are important soft skills for collaborating with global teams and addressing diverse datasets. These skills are critical for building scalable, effective ML solutions that meet international standards and user needs.
More about International Machine Learning Engineer jobs
What job categories do people searching International Machine Learning Engineer jobs look for? The top searched job categories for International Machine Learning Engineer jobs are:
International Machine Learning Engineer jobs near you
Infographic showing various International Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Waypoint Human Capital

Huntsville, AL

Other

Posted 27 days ago

Job description

Position Title: Machine Learning Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active TS
Description:
Waypoint's client is seeking a Machine Learning Engineer to support mission-critical efforts within a secure environment at the Missile and Space Intelligence Center. This role focuses on developing, integrating, and operationalizing machine learning solutions that support advanced analytics and intelligence capabilities.
The selected candidate will work across the full machine learning lifecycle, from building data pipelines and training models to deploying and monitoring production systems. This position requires a strong blend of software engineering and data science expertise, with a focus on scalability, performance, and system integration.
Responsibilities:
Integrate machine learning systems into existing software architectures and enterprise platforms
Design, build, and optimize data pipelines to support model training and inference
Develop, test, and deploy machine learning models into production environments
Manage transition from prototype to production, including deployment pipelines and monitoring solutions
Monitor model performance, including handling model drift, rollback, and failure scenarios
Conduct experiments and testing to evaluate and improve model accuracy and performance
Write clean, maintainable, and testable code in Python and related technologies
Collaborate with cross-functional teams to integrate ML capabilities into mission systems
Utilize CI/CD pipelines and GitOps practices to support automated deployment and version control
Support development in Linux and Windows environments
Required:
Active TS clearance (with ability to obtain TS/SCI with CI Polygraph)
Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related technical field
Minimum 12+ years of overall experience, including 1-3 years working with machine learning frameworks
Strong programming skills in Python
Experience with machine learning frameworks, libraries, and data modeling techniques
Solid understanding of the machine learning lifecycle
Experience working with SQL and NoSQL databases
Experience working in Linux and Windows environments
Familiarity with CI/CD pipelines and Agile development methodologies
Understanding of software design and system integration principles
Desired:
Active TS/SCI with CI Polygraph (desired)
Experience working with large-scale (petabyte-level) datasets
Experience supporting multi-INT analytics environments
Experience deploying, monitoring, and scaling machine learning models in production
Experience with tools such as Docker, Jupyter Notebooks, PostgreSQL, GitLab, and GitHub
Experience implementing GitOps workflows
Experience working in secure or classified environment

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