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Healthcare Machine Learning Jobs (NOW HIRING)

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 ...

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

TeleTracking is a company dedicated to improving healthcare through innovative technology. They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at ...

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... care. Our recognition awards program acknowledges employees for exceptional performance and ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Employees are eligible to participate in a number of Company-sponsored benefits, including health ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Best in class benefits to fuel your work, including 100% paid health insurance for employees with ...

Machine Learning Engineer Job Duties: * Develop, build and maintain scalable data pipelines ... health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption ...

Showing results 41-60

Healthcare Machine Learning information

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$11K

$98K

$160.5K

How much do healthcare machine learning jobs pay per year?

As of Sep 7, 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?

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 healthcare machine learning?

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 does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.
More about Healthcare Machine Learning jobs

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:

Infographic showing various Healthcare Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 66% Full Time, 16% Part Time, and 15% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $97,999 per year, or $47.1 per hour.

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description

Machine Learning Engineer

The Opportunity:

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the space industry. As a machine learning engineer on our space team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a talented team of machine learning engineers across the company and collaborate with data scientists, physicists, and systems engineers to deliver world-class solutions to develop agentic AI solutions. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for intelligence community space projects.

You Have:

  • Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google

  • Experience with Kubernetes

  • Experience with data science or machine learning

  • Knowledge of python, java, or c++ programming

  • TS/SCI clearance

  • Bachelor's degree

Nice If You Have:

  • Experience with machine learning operations pipelines

  • Ability to deploy software into a production environment

  • TS/SCI clearance with a polygraph

  • Bachelor's degree in a STEM field

  • Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914