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Remote Healthcare Machine Learning Jobs (NOW HIRING)

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 ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Clean, transform, and prepare large, complex healthcare datasets for machine learning model ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

At Counterpart Health, we are transforming healthcare and improving patient care with our ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

Xtream Adminz

Remote Healthcare Recruiter

Gulfport, MS · Remote

We are also open to welcoming new recruiters who may not have experience in healthcare recruiting but have experience in other related fields such as sales. JOB RESPONSIBILITIES: * Interacting with ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Clean, transform, and prepare large, complex healthcare datasets for machine learning model ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

At Counterpart Health, we are transforming healthcare and improving patient care with our ... Additionally, we embrace a remote-first culture that supports collaboration and flexibility ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Clean, transform, and prepare large, complex healthcare datasets for machine learning model ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Xtream Adminz

Remote Healthcare Recruiter

Gulfport, MS · On-site +1

We are also open to welcoming new recruiters who may not have experience in healthcare recruiting but have experience in other related fields such as sales. JOB RESPONSIBILITIES: * Interacting with ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

As a Smartian, you'll help build technology that makes healthcare more accurate, sustainable, and ... This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

You care about correctness. You take pride in the fact that your models perform reliably and ... Dedicated Sick Time - Your health and well-being come first. * Comprehensive Health & Benefits ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... health and welfare benefits coverage options including medical, dental, vision, spending accounts ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... health and welfare benefits coverage options including medical, dental, vision, spending accounts ...

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Remote Healthcare Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 18, 2026, the average yearly pay for remote healthcare machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

More about Remote Healthcare Machine Learning jobs

What cities are hiring for Remote Healthcare Machine Learning jobs?

Cities with the most Remote 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 Remote Healthcare Machine Learning jobs?

States with the most job openings for Remote Healthcare Machine Learning jobs include:

What job categories do people searching Remote Healthcare Machine Learning jobs look for?

The top searched job categories for Remote Healthcare Machine Learning jobs are:

Remote Healthcare Machine Learning jobs near you
Infographic showing various Remote Healthcare Machine Learning job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 64% Full Time, 15% Part Time, and 18% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Orchard LLC

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD
About @Orchard:
@Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical science, data, technology, program management, and workforce solutions. Since 2010, we have built high-performing teams and disciplined delivery systems that help federal agencies launch complex programs, sustain performance, and achieve meaningful mission outcomes.
Position Summary:
@Orchard LLC is seeking an Machine Learning Engineer to support the National Oceanic and Atmospheric Administration (NOAA), Office of Ocean Exploration.
The Machine Learning Engineer will develop and apply machine learning capabilities to help NOAA Ocean Exploration analyze the large volumes of scientific data and video generated during ocean exploration expeditions. Working at the intersection of computer science, marine science, and data analytics, this position will develop software, algorithms, and analytical workflows that help identify scientifically significant characteristics, fauna, shapes, movement, and other features within complex scientific datasets and video streams.
The successful candidate will collaborate with marine scientists, engineers, data specialists, and other technical professionals to improve the efficiency and consistency of scientific data analysis. The role will help reduce manual review time, support annotation and characterization of observations, and create repeatable tools that enable scientists to extract meaningful information from increasingly large ocean exploration datasets.
This position is contingent upon contract award.
Mission Impact:
This position applies emerging AI and machine learning technologies to one of the world's most challenging data environments-ocean exploration. Your work will help NOAA scientists analyze massive volumes of expedition data and video more efficiently, accelerating the identification and characterization of marine life and other scientifically significant observations.
Key Responsibilities:
AI & Machine Learning Development
  • Develop machine learning capabilities for evaluating large volumes of ocean exploration data and streaming video.
  • Design, develop, test, and refine algorithms and software that identify specific characteristics, shapes, movement, fauna, and other features within scientific data and video.
  • Develop computer-language subroutines, scripts, and programs that support automated or semi-automated data analysis, annotation, and characterization.
  • Apply appropriate machine learning and computer vision techniques to improve the efficiency and consistency of scientific data review.
  • Evaluate model performance and refine approaches based on scientific objectives and observed results.

Scientific Data & Video Analysis
  • Work with large scientific datasets and high-volume expedition video to identify patterns and features relevant to ocean exploration.
  • Collaborate with marine scientists to translate scientific questions and observation requirements into computational approaches.
  • Support development of tools that enable scientists to efficiently locate, annotate, classify, and characterize observations.
  • Assist in developing repeatable analytical workflows that can be applied to future expeditions and datasets.
  • Support integration of AI/ML outputs into broader scientific data analysis, annotation, and ocean exploration workflows.

Software Development & Documentation
  • Develop maintainable and reusable code supporting machine learning and data-analysis capabilities.
  • Document software development, algorithms, workflows, model changes, and system updates to support future corrections and enhancements.
  • Test and troubleshoot applications and analytical workflows to ensure reliable performance.
  • Recommend improvements to software, analytical methods, and machine learning workflows.
  • Support software corrections and updates as required.

Scientific Collaboration
  • Collaborate with marine scientists, GIS specialists, web developers, engineers, and other technical professionals.
  • Participate in technical discussions, scientific meetings, and project planning activities.
  • Translate technical machine learning concepts into understandable information for scientific and program stakeholders.
  • Support technical reports, presentations, demonstrations, and other program deliverables.

Operational Support
  • Support response to urgent software or analytical issues affecting supported capabilities, including occasional work outside normal business hours when required
  • Support troubleshooting and resolution of issues affecting machine learning applications and associated web or data capabilities.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Marine Science, Oceanography, or related discipline. Master's degree preferred.
  • Experience developing or applying machine learning solutions for data analysis, computer vision, video analysis, or related applications.
  • Programming experience in Python or another modern programming language.
  • Experience working with large datasets and developing repeatable data-analysis workflows.
  • Understanding of machine learning concepts, model development, evaluation, and optimization.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively with scientists and technical professionals from different disciplines.
  • Excellent written and verbal communication skills.
  • Proficiency with Microsoft Office 365, Google Workspace, and Adobe Acrobat.
  • Occasional domestic travel may be required to support scientific meetings, workshops, planning sessions, training activities, or other program requirements consistent with contract needs.

Preferred Skills and Experience:
  • Experience applying AI or machine learning to scientific, environmental, marine, or oceanographic datasets is preferred.
  • Experience with computer vision, image recognition, object detection, video analytics, or image classification.
  • Experience working with high-volume video or streaming data.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with scientific Python libraries and data-analysis tools.
  • Experience supporting NOAA, other federal agencies, academic research organizations, or marine science programs.
  • Familiarity with marine organisms, oceanographic data, or scientific expedition environments.

Technical Skills:
  • Python
  • Data Analysis
  • Large-Scale Data Processing
  • Algorithm Development
  • Software Testing & Troubleshooting
  • Scientific Data Workflows

Compensation: The anticipated salary range for this position depends on the candidate's qualifications, relevant scientific experience, education, and overall experience supporting similar federal programs.
What We Offer:
Competitive base salary with opportunities for advancement, career growth and professional development, work-life balance, comprehensive benefits including health, dental, vision, life insurance, 401(k), generous PTO, and paid federal holidays.
If you are passionate about artificial intelligence, machine learning, and applying innovative technology to ocean exploration, we encourage you to join our team and help transform massive volumes of scientific data into discoveries that advance our understanding of the world's oceans.
@Orchard is an equal opportunity employer. We encourage all qualified candidates to apply, regardless of race, gender, age, disability, or other protected characteristics.
To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com .

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