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Healthcare Machine Learning Engineer Jobs (NOW HIRING)

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and ... We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA.

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Flexjet LLC

Machine Learning Engineer

Cleveland, OH · On-site

Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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 ...

Errgo

NY · On-site

Python PyTorch TensorFlow AWS MLOps Spark About the role As a Machine Learning Engineer, the candidate will design, build, and deploy ML models that solve complex business problems at scale. This ...

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Healthcare Machine Learning Engineer information

See salary details

$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

Fremont, CA • On-site

Winaxis
IT Services • 11 - 50 employees
Learn more about Winaxisexternal

Contractor

Re-posted 25 days ago

Job description

Title: Machine Learning Engineer

Location: Fremont, CA (Local) Onsite interview

Duration: 12+ Mos  

H1B

Only h1 candidate

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

Design, develop, and deploy machine learning models for factory and warehouse environments.

Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.

Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.

Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.

Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.

Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.

Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

In-depth knowledge of Python for high-performance, data-intensive applications.

Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow).

Expertise in one or more of the following areas: computer vision, large language models, recommender systems, or operations research.

Foundational knowledge of statistics for model comparison and performance assessment.

Real-world experience deploying and maintaining machine learning solutions in production environments.

Passion for clean, sustainable, and modular code to bring research concepts to practical implementation.

Preferred Qualifications

Experience working in manufacturing, industrial automation, or warehouse environments.

Familiarity with multi-modal data integration and analysis.

Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.

Excellent communication skills for cross-functional teamwork.