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Medical Imaging Machine Learning Jobs in Maryland

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Machine Learning Engineer will perform their job duties to a high standard, working both ... Comprehensive healthcare for the employee at no monthly cost * Healthcare benefit covers medical ...

Cymertek

Machine Learning Engineer

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please ... Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) * HSA/FSA * AFLAC ...

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All JobsMedical Imaging Machine Learning JobsMedical Imaging Machine Learning Jobs in Maryland

Medical Imaging Machine Learning information

See Maryland salary details

$22.4K

$91.2K

$192.4K

How much do medical imaging machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for medical imaging machine learning in Maryland is $91,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,866.00 and $131,570.00 per year, depending on experience, location, and employer.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Maryland?

The most popular types of Medical Imaging Machine Learning jobs in Maryland are:

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

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

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

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

Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 50% As Needed, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $91,231 per year, or $43.9 per hour.

Asst Prof Machine Learning

University of Maryland, Baltimore

Baltimore, MD • On-site

$17 - $19.75/hr

Full-time

Re-posted 15 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

260th of 618 rated colleges and universities

Job description

Job Description
The Imaging Computing Laboratory at the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine is looking for a candidate to fill an Assistant Professor position in machine learning based medical image processing. This position is in the non-tenure track. The research focuses will include: deep learning-based MRI image reconstruction, deep learning based arterial spin labeling perfusion MRI processing, and resting state fMRI processing. Ideal candidates should have a PhD in computer science, biomedical engineering, or electrical engineering. Over three years of research experience in deep learning, MRI and medical image processing is preferred.
Candidates should submit a full CV, a cover letter, and names of three referees who can provide recommendation letters to
Qualifications
For immediate consideration, please send a cover letter and a recent CV, including names and contact information of three references to the following link:
UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.
We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees.

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