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Health Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... comprehensive compensation and healthcare packages, 401k matching, paid time off, and ...

Crowe LLP

Machine Learning Intern

Atlanta, GA · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Atlanta, GA · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Saince is a two-decades old, USA based health information technology solutions and services ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth ...

SAP

Machine Learning Expert

Atlanta, GA · On-site

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible ...

SAP SuccessFactors

Machine Learning Expert

Atlanta, GA

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible ...

SAP SE

Machine Learning Expert

Atlanta, GA · On-site

$176 - $300/hr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... We win with inclusion SAP's culture of inclusion, focus on health and well-being, and flexible ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159K - $276K/yr

Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ... Proven understanding of machine learning algorithms (supervised, unsupervised) and model evaluation ...

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 ... Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) * Generous ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... healthcare. You will have the freedom to pursue high-impact research while seeing your work ...

PrizePicks

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

Design and build the end-to-end machine learning infrastructure, setup platform for transitioning ... Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) * Generous ...

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Health Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do health machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for health machine learning in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is health machine learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.

How do health machine learning professionals collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

What are the key skills and qualifications needed to thrive as a health machine learning specialist?

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.

What are popular job titles related to Health Machine Learning jobs in Atlanta, GA?

For Health Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Health Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for Health Machine Learning jobs in Atlanta, GA are:

Health Machine Learning jobs near you
Infographic showing various Health Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Machine Learning Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
  • Design complex systems of systems for training and running machine learning models with industry best practice
  • Define projects and scope for teams of engineers and guide their completion
  • Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
  • Deliver on company initiatives and prioritize projects supporting your long term technical vision
  • Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
  • Participate in peer design and code reviews
  • Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
  • Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead

What experience you need
  • BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
  • 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
  • Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
  • Cloud Certification Strongly Preferred

What could set you apart
  • Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase; Ability to establish the best practices of Software Development Life Cycle for the team
  • Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
  • Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
  • Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
  • Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
  • Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
  • Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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