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Medical Machine Learning Jobs in Georgia (NOW HIRING)

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

Athena Technology Group

The selected candidate will develop and deploy machine learning models, process large-scale ... medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition ...

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... medical for employee. Family coverage also included. * 100% employer paid dental, and vision for ...

AEG Presents

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

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All JobsMedical Machine Learning JobsMedical Machine Learning Jobs in Georgia

Medical Machine Learning information

See Georgia salary details

$30.8K

$139.1K

$284.6K

How much do medical machine learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for medical machine learning in Georgia is $139,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $226,700.00 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.

Is ML a high paying job?

Medical machine learning professionals typically earn higher salaries compared to many other healthcare roles due to specialized skills in data analysis, programming, and understanding medical data. Salaries vary based on experience, education, and location, but advanced roles in this field often offer competitive compensation, especially for those with expertise in deep learning and relevant tools like Python and TensorFlow.

Which 3 jobs will survive AI?

In the field of medical machine learning, roles such as data scientists, clinical informaticists, and AI specialists are likely to persist as they require complex problem-solving, domain expertise, and oversight of AI systems. These jobs involve interpreting data, ensuring ethical use, and integrating AI tools into healthcare, which are less susceptible to automation. Continuous learning and certification in AI and healthcare regulations enhance job security in this area.

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 languages like Python, and medical data to enhance treatment plans and operational efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often in the tech or healthcare sectors. These positions usually require advanced skills in programming, data analysis, and experience with AI frameworks, and may include bonuses or stock options that contribute to total compensation.

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 most commonly searched types of Medical Machine Learning jobs in Georgia? The most popular types of Medical Machine Learning jobs in Georgia are:
What are popular job titles related to Medical Machine Learning jobs in Georgia? For Medical Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning jobs in Georgia look for? The top searched job categories for Medical Machine Learning jobs in Georgia are:
Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in Georgia as of June 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $139,096 per year, or $66.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Kforce Technology Staffing

Atlanta, GA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Atlanta, GA that is seeking a Machine Learning Engineer responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The Machine Learning Engineer should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.
REQUIREMENTS:
* 3+ years (Mid) or 5+ years (Senior) experience with shipping ML systems into production (not just notebooks)
* Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
* Experience with data processing and analytics using tools such as Pandas, NumPy, SQL, Spark (as applicable)
* Solid understanding of ML fundamentals: bias/variance, evaluation metrics, cross-validation, feature engineering, and error analysis
* Experience building and deploying ML services (e.g., FastAPI/Flask), containerization (Docker), and CI/CD
* Ability to communicate tradeoffs and results clearly to both technical and non-technical stakeholders
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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