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International Machine Learning Engineer Jobs (NOW HIRING)

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Elder Research

Machine Learning Engineer

Richmond, VA · On-site

Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our ...

Elder Research

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our ...

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 ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‐edge AI models.

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 ...

Quantum Machines

Machine Learning Engineer

Boston, MA · On-site

Quantum Machines is a global leader in quantum computing control systems, and they are seeking a Machine Learning Engineer to design, build, and deploy machine learning systems for quantum processors.

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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 6, 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 May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Upperline Health

Nashville, TN • On-site

Full-time

Posted 21 days ago

Upperline Health rating

3.0

Company rating: 3.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Position Overview: We are looking for a talented Machine Learning Engineer to help build and maintain machine learning pipelines that support predictive healthcare models. This role is ideal for someone with strong data engineering skills and a passion for applying machine learning to real-world healthcare challenges.
Key Responsibilities:
  • Design and implement data pipelines using SQL and Python from various data sources.
  • Synthesize large medical claims data records into useable data features.
  • Collaborate with Data Scientists to build, refine, and deploy various machine learning models in Python.
  • Learn and apply SAS as needed for dataset generation (prior experience is not required).
  • Ensure data quality, reproducibility, and performance in the pipelines.
  • Contribute to best practices for data governance and model deployment.

Qualifications:
  • 2-5+ YOE as a Machine Learning Engineer or Data Scientist with a focus on engineering data builds.
  • Proficiency in SQL/Snowflake and Python; willingness to learn SAS as needed.
  • Experience building and combining data pipelines and working with large datasets.
  • Basic understanding of healthcare claims data (e.g., Medicare claims) preferred.
  • Familiarity with machine learning workflows (e.g., scikit-learn, pandas, NumPy).
  • Strong problem-solving and communication skills, sharp critical thinking skills.
  • Comfortable with a fast-paced workstream that requires flexibility to work on multiple projects or analyses at the same time.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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