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Medical Machine Learning Jobs in Washington (NOW HIRING)

Showing results 21-40

Medical Machine Learning information

See Washington salary details

$41.3K

$186.6K

$381.7K

How much do medical machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for medical machine learning in Washington is $186,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $304,100.00 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 Washington?

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

What cities in Washington are hiring for Medical Machine Learning jobs?

Cities in Washington with the most Medical Machine Learning job openings:

Infographic showing various Medical Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 12% Part Time, 2% Temporary, and 10% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $186,574 per year, or $89.7 per hour.

AI/Machine Learning Specialist

Black Canyon Consulting

Bethesda, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Overview
Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialistthat will lead design and deployment of AI/ML models that advance MC&FP's mission outcomes while ensuring ethical and compliant use.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities:
  • Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles.
  • Implement data pipelines and model governance controls
  • Collaborate with DoD CIO on AI ethics and RMF AI risk alignment
Minimum Qualifications:
  • 8 + years of experience in AI, ML, or data science solutions
  • Bachelor's in Data Science, CS, or Engineering
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Public Trust eligibility
    • must have at least Public Trust or ADP/IT-2 investigations
  • Experience with Python, TensorFlow, or PyTorch

Preferred Qualifications:
  • CQA, CMQ/OE, or equivalent certification
  • Experience supporting DoD quality programs
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Experience supporting DoD quality programs
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!