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Medical Machine Learning Jobs in Virginia (NOW HIRING)

INCA Engineering

Quantum SME

Springfield, VA

Apply principles, methods, and knowledge of functional areas (quantum machine learning and related ... Benefits include personal time off, medical Insurance and 401k plan. INCA Engineering is an equal ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

You will leverage your expertise in statistics, machine learning, and data analysis to extract ... related medical conditions, age, protected veteran status, or disability status. We oppose ...

Remitly

Senior Engineering Manager, AI/ML

Arlington, VA

$200K - $250K/yr

As a Senior Machine Learning Engineering Manager for the Core AI/ML team, you will lead the design ... Your recruiter can share more information about medical benefits offered, as well as other ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

... Machine Learning. We deliver state-of-the-art enterprise solutions to both government and ... Medical * Dental * Vision * Basic Life * Health Saving Account * 401K Matching * Three weeks of PTO ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

... Machine Learning. We deliver state-of-the-art enterprise solutions to both government and ... Medical * Dental * Vision * Basic Life * Health Saving Account * 401K Matching * Three weeks of PTO ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

... Machine Learning. We deliver state-of-the-art enterprise solutions to both government and ... Medical * Dental * Vision * Basic Life * Health Saving Account * 401K Matching * Three weeks of PTO ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Medical/Dental/Vision Coverage * Matching 401(k) Plan * Continuing Education Assistance * Paid Time ...

System One

Data Scientist

Mclean, VA · On-site

Design and develop machine learning models and analytical approaches to support search, discovery ... medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as ...

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All JobsMedical Machine Learning JobsMedical Machine Learning Jobs in Virginia

Medical Machine Learning information

See Virginia salary details

$36.2K

$163.3K

$334.1K

How much do medical machine learning jobs pay per year?

As of Jul 11, 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 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 is a Medical Machine Learning job?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often found in tech companies or healthcare organizations. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in the organization.

Is ML a high paying job?

Medical machine learning professionals typically earn high salaries due to the specialized skills required, such as expertise in data analysis, programming, and healthcare knowledge. Salaries can vary based on experience, education, location, and industry demand, but overall, it is considered a well-compensated field within tech and healthcare sectors.

Will MLE be replaced by AI?

Medical Machine Learning Engineers (MLEs) develop and implement algorithms to analyze medical data, and AI advancements are augmenting their work rather than replacing it. While AI tools automate certain tasks, MLEs are essential for designing, validating, and maintaining complex models within healthcare environments, often requiring domain expertise and programming skills. The role is expected to evolve with AI, emphasizing collaboration between human expertise and automated systems.

What does machine learning do in healthcare?

In healthcare, machine learning is used by professionals to analyze large datasets, improve diagnostic accuracy, and develop predictive models for patient outcomes. Medical machine learning specialists often work with algorithms, programming tools, and clinical data to enhance treatment plans and healthcare efficiency.

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 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:
Medical Machine Learning jobs near you
Quantum SME

Quantum SME

INCA Engineering

Springfield, VA

Full-time

Medical, Retirement, PTO

Posted 5 days ago

Job description

Title: Quantum Subject Matter Expert (SME)

Job Description

INCA Engineering is seeking a Quantum Engineer SME to provide expert guidance on quantum computing technologies in support of complex GEOINT challenges. The role involves analysis, system design, and performance evaluation using quantum and classical methods.

As a Quantum Subject Matter Expert (SME) you will provide on-site technical support in quantum science analysis, system design, and performance evaluation using quantum and classical methods

Key Responsibilities:

  • Provide technical knowledge and analysis of quantum computing technologies such as quantum machine learning, quantum architectures, and quantum simulation.
  • Provide functional analysis, design, integration, documentation and advice on difficult GEOINT problems that require significant knowledge and/or experience in quantum computing technologies.
  • Apply principles, methods, and knowledge of functional areas (quantum machine learning and related quantum computing technologies) for difficult and narrowly defined technical problems in engineering and other scientific applications.
  • Ability to conduct trade studies and provide analysis to review/asses proposed quantum machine learning methods, technical reports, assess impacts on product quality, and characterize performance using quantum simulation (or related technologies) to support verification or product quality.
  • SME topic areas include R&D of quantum computing, quantum machine learning, classical machine learning, classical computing, and GEOINT data domains.

Qualifications:

  • Degree in Computer Science, Physics, Mathematics or related discipline
  • Active TS/SCI security clearance.
  • 5+ years of demonstrated experience supporting quantum computing
  • Experience with Intelligence Community or related mission space
  • 15 years of experience and a PhD degree. Or a MA/MS degree and 18 years of experience. Or a BS/BS degree and 20 years of experience and be recognized within a discipline relevant to the work associated with the position.*
  • 3 or more total years of experience working with one or more topic areas of Quantum Algorithms, Quantum Machine Learning, Quantum Clouds, Quantum simulation tools, PennyLane, Qiskit, or Quantum Encoding.
  • 3 or more total years of experience developing algorithms from one or more topic areas of image processing, object detection, image classification, synthetic image generation, anomaly detection or graph-based routing.
  • 3 or more total years of experience developing algorithms with one or more topic areas of GEOINT missions, Electro-Optical and / or Hyper-Spectral Imagery.
  • 2 or more total years of experience creating briefing materials and technical documents translating quantum computing concepts to non-technical audiences.

Location: Springfield, VA

#CJ

INCA Engineering is a Veteran Owned small business providing research and technology development solutions that deliver positive impact on our world through creative innovation. Since 2008, we have combined a passion for our work with deep technical expertise to tackle our clients' greatest challenges.

INCA Engineering offers an excellent benefits package, professional development, and fosters a highly skilled workforce while maintaining a healthy work-life balance. Benefits include personal time off, medical Insurance and 401k plan.

INCA Engineering is an equal opportunity employer that values diversity at all levels. (EOE – Minorities/Females/ Protected Veterans Status/Disability Status/Sexual Orientation/Gender Identity)