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Health Machine Learning Jobs (NOW HIRING)

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton ... Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee ...

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 ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

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.

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... comprehensive compensation and healthcare packages, 401k matching, paid time off, and ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership ...

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... public health missions. This position will be in the Computational Engineering Division (CED ...

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment! TailorCare is on a mission to ...

Showing results 21-40

Health Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do health machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for health 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 health machine learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.

How do health machine learning professionals collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

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

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.
More about Health Machine Learning jobs

What cities are hiring for Health Machine Learning jobs?

Cities with the most Health Machine Learning job openings:

What states have the most Health Machine Learning jobs?

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

Infographic showing various Health Machine Learning job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, and 6% 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.

$128K - $214K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


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Job description

General information
Requisition #
R67616
Locations
USA-Remote Work
Posting Date
05/19/2026
Security Clearance Required
Secret
Remote Type
Fully Remote
Time Type
Full time
Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***
MANTECH seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team.
The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services, processing large volumes of data. This role involves collaborating with Data Scientists to design tools and train models using data from across the enterprise to support mission and business functions.
Responsibilities include but are not limited to:
  • Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business functions.
  • Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated machine learning models and analytical solutions.
  • Develop and test ML applications according to requirements, running targeted experiments to optimize overall system performance.
  • Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn).
  • Explore and visualize data to uncover key insights and identify specific factors that impact model accuracy and performance.
  • Manage and deploy cloud-based ML services across major cloud computing environments, including AWS, Azure, or Google Cloud Platform (GCP).
  • Follow Agile methodologies to deliver production-ready, highly testable code in small, efficient, and continuous iterations.

Minimum Qualifications:
  • Master's degree in Applied Mathematics, Statistics, Computer Science, or related fields.
  • Verifiable work experience defining and implementing data pipelines and machine learning algorithms.
  • Proficiency in Agile Development and Git Operations.
  • Experience creating, maintaining, and communicating complex technical documentation for machine learning systems.

Preferred Qualifications:
  • Experience with the Sponsor's primary cyber risk and compliance automation tools.

Clearance Requirements:
  • An active Secret clearance is required.

Physical Requirements:
  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

The projected compensation range for this position is $128,800.00-$214,500.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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