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Healthcare Machine Learning Engineer Jobs (NOW HIRING)

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

The Machine Learning Engineer will design, develop, and deploy production-ready machine learning solutions with a strong focus on hands-on engineering and coding. The role requires extensive Python ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Excellent health care coverage, including dental and vision plans * Parental leave * Short-term and ...

Orchard LLC

Machine Learning Engineer

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays. If you are ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

RXinsider LTD.

Machine Learning Engineer

San Francisco, CA · On-site

$97K - $129K/yr

Our technology empowers healthcare operators across hospital and health systems, pharmacies and ... About The Role We're looking for a Machine Learning Engineer to design, build, and deploy ...

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 ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal ...

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Healthcare Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Sep 10, 2026, the average yearly pay for healthcare 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.

What is the difference between Healthcare Machine Learning Engineer vs Data Scientist in healthcare?

AspectHealthcare Machine Learning EngineerData Scientist in healthcare
Required credentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work environmentDevelops and deploys ML models in healthcare settings, often collaborating with engineers and cliniciansAnalyzes healthcare data, builds models, and provides insights for decision-making
Employer and industry usageHospitals, healthcare tech companies, research institutionsHealthcare providers, biotech firms, research organizations

Healthcare Machine Learning Engineers focus on developing and deploying ML models specifically for healthcare applications, while Data Scientists analyze healthcare data to generate insights. Both roles require strong technical skills and often overlap, but the Engineer emphasizes model deployment and integration, whereas the Data Scientist emphasizes data analysis and interpretation.

Is machine learning used in healthcare?

Healthcare machine learning engineers develop models that analyze medical data to improve diagnostics, treatment plans, and patient outcomes. Machine learning is widely used for tasks such as image analysis, predictive analytics, and personalized medicine, often requiring knowledge of programming, data processing, and healthcare regulations.

What cities are hiring for Healthcare Machine Learning Engineer jobs?

Cities with the most Healthcare Machine Learning Engineer job openings:

What are popular job titles related to Healthcare Machine Learning Engineer jobs?

For Healthcare Machine Learning Engineer jobs, the most frequently searched job titles are:

Machine Learning Engineer

Remote

Intelliswift - An LTTS Company
See more jobs at Intelliswift - An LTTS Companyexternal

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves collaborating with clients and data engineers to develop end-to-end machine learning and data pipelines.
Responsibilities:
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
Required:
• MS or PhD in a quantitative field (​e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Preferred:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with ​​development tools for experiment tracking, dataset versioning, and model management in machine learning.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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