1

Healthcare Machine Learning Jobs (NOW HIRING)

As a Machine Learning Engineer, you will play a critical role in developing and implementing ... Healthcare Benefits and 401K Growing Startup Culture #J-18808-Ljbffr

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 ...

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals ...

Design, implement, and iterate on machine learning models to address specific business challenges ... family healthcare needs and budget. Micron also provides benefit programs that help protect your ...

Design, implement, and iterate on machine learning models to address specific business challenges ... family healthcare needs and budget. Micron also provides benefit programs that help protect your ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... And our benefits go beyond healthcare-offering resources for physical, mental, and professional ...

Machine Learning Engineer At Leash Biosciences, we are at the cutting edge of integrating machine ... Benefits include healthcare, 401K match, stock options, free lunches, and access to some of the ...

Machine Learning Engineer MGMA is seeking a Machine Learning Engineer to enhance and expand its ... Background in healthcare data or analytics * Familiarity with Blue Modis or similar platforms

next page

Showing results 1-20

Healthcare Machine Learning information

See salary details

$11K

$98K

$160.5K

How much do healthcare machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for healthcare machine learning in the United States is $97,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $22,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a Healthcare Machine Learning job?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in the Healthcare Machine Learning position, and why are they important?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in Healthcare Machine Learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.
What cities are hiring for Healthcare Machine Learning jobs? Cities with the most Healthcare Machine Learning job openings:
What are the most commonly searched types of Healthcare Machine Learning jobs? The most popular types of Healthcare Machine Learning jobs are:
What states have the most Healthcare Machine Learning jobs? States with the most job openings for Healthcare Machine Learning jobs include:
What job categories do people searching Healthcare Machine Learning jobs look for? The top searched job categories for Healthcare Machine Learning jobs are:
Infographic showing various Healthcare Machine Learning job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,999 per year, or $47.1 per hour.
Machine Learning Engineer

Other

Posted 17 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.

What Upperline Health employees say

Hours and flexibility

Workplace

Get the full story on Breakroom