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Remote Healthcare Machine Learning Jobs (NOW HIRING)

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Machine Learning Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... make mental health care more accessible to everyone. Founded in 2013, we are now the world ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Retirement

... make mental health care more accessible to everyone. Founded in 2013, we are now the world ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

We care deeply about building great products, hiring exceptional people, and creating an ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

We care deeply about building great products, hiring exceptional people, and creating an ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Machine Learning Engineer

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

This person will implement and develop machine learning models to enhance our platform ... Top-tier health, vision, and dental insurance, including plans with $0 employee cost. * Unlimited ...

We care deeply about building great products, hiring exceptional people, and creating an ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and develop machine learning ... The easiest way to record your remote podcast interviews in studio quality Founded in 2014, the ...

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... Comprehensive benefits package including health, dental, and vision insurance. * Opportunity to ...

This is a part-time, fully remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world machine learning and natural language ...

As a Machine Learning Engineer, you're a highly motivated individual with strong fundamentals in computer science and handson experience across the full model development lifecycle-including feature ...

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission ... Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven ... Experience in the health tech domain, particularly in hospital billing systems * Experience with ...

Showing results 41-60

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:

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/AI Engineer

System One

Merrifield, VA • Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.

Requirements • Advanced degree in in computer science, mathematics, physics, statistics. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Experience with cloud computing infrastructure. • Experience with Computer Vision, image processing and video analytics. • Experience with Natural Language Processing/ Natural Language Understanding. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). • Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: • Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. • Knowledge on principles of A.I. Security and Safety. • Experience with Advance Reinforcement Learning Paradigms. • Experience with Speech Recognition. • Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1