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Medical Machine Learning Jobs in Virginia (NOW HIRING)

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Medical Machine Learning information

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$36.2K

$163.3K

$334.1K

How much do medical machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for medical machine learning in Virginia is $163,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $266,200.00 per year, depending on experience, location, and employer.

What is a medical machine learning?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What types of teams do medical machine learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the key skills and qualifications needed to thrive in the medical machine learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What does medical machine learning do in healthcare?

Medical machine learning involves developing algorithms that analyze healthcare data to assist in diagnosis, treatment planning, and patient monitoring. Professionals in this field use tools like Python and TensorFlow to create models that improve accuracy and efficiency in medical decision-making.

What are popular job titles related to Medical Machine Learning jobs in Virginia?

For Medical Machine Learning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Medical Machine Learning jobs in Virginia look for?

The top searched job categories for Medical Machine Learning jobs in Virginia are:

Infographic showing various Medical Machine Learning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $163,318 per year, or $78.5 per hour.

Software Engineer Subject Matter Expert / AI & Machine Learning with Security Clearance

Staffed4U LLC

Chantilly, VA โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer (On Call) Location: Chantilly, Virginia Security Clearance: Active TS/SCI with Polygraph Required Job Type: On-Call / As-Needed Support Position Overview The selected candidate will serve as a senior technical authority providing on-call support for the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements. Minimum Qualifications * Bachelor's degree and a minimum of sixteen (16) years of relevant experience; OR * Twenty-one (21) years of related professional experience in lieu of a degree * Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience * Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph * Demonstrated experience leading complex technical and operational initiatives * Ability to provide technical support in an on-call or surge support capacity Duties and Responsibilities * Design, develop, test, and maintain enterprise software and AI/ML systems * Analyze software and system requirements to develop technical solutions supporting operational objectives * Evaluate and improve software performance, scalability, reliability, and maintainability * Develop system specifications, technical documentation, and implementation plans * Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment * Modify and enhance existing software applications to improve functionality and resolve technical issues * Analyze interfaces between hardware and software systems and define performance requirements * Support installation, configuration, testing, and maintenance of software systems and applications * Develop and maintain applications within cloud-based environments, including modernization of legacy systems * Estimate software development schedules, technical risks, and resource requirements * Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes * Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics * Provide technical leadership, mentoring, and guidance to engineering and development teams * Support troubleshooting, root cause analysis, and resolution of highly complex technical issues Required Knowledge, Skills, and Abilities * Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis * Experience developing applications in cloud and enterprise environments * Ability to analyze user requirements and translate them into scalable technical solutions * Experience with software testing, debugging, and performance optimization * Strong analytical, organizational, and problem-solving skills * Excellent written and verbal communication skills * Ability to lead technical teams and collaborate across multidisciplinary environments * Ability to respond effectively to dynamic operational requirements in an on-call capacity Preferred Technical Experience Experience or familiarity with one or more of the following technologies or tools is desirable: * Programming languages and software development frameworks * Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails * Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner * Source code editors and software development environments * Desktop computing systems, high-end servers, and application server technologies About the Organization A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts. Benefits Summary Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include: * Flexible Time Off Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity. * Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs. * Retirement Savings Plan Retirement benefits may include participation in a 401(k) savings program with employer contributions. * Paid Parental Leave Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement. * Comprehensive Health Coverage Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs. * Professional Development and Continuing Education Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement. We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.