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Machine Learning Operations 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 ... , or related roles * Experience with end-to-end development of ML models, from ideation to ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... operations research, and software development * Experience with using one or more of the following ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

Our platform boosts employee engagement whileoptimizingIT operations, security, and cost. Guided by ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

SAP SuccessFactors

Machine Learning Expert

Atlanta, GA

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Cloud-native application development and DevOps practices - PaaS offerings, CI/CD pipelines, and ...

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 ... Cloud-native application development and DevOps practices - PaaS offerings, CI/CD pipelines, and ...

Coca-Cola

Senior Machine Learning Engineer (MLOPS)

Atlanta, GA · On-site

$100K - $138K/yr

Troubleshoot and resolve operational issues as they arise. * Data Integration: Collaborate with ... A solid understanding of the machine learning lifecycle, containerized microservices architectures ...

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Machine Learning Operations information

See Atlanta, GA salary details

$21

$38

$58

How much do machine learning operations jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for machine learning operations in Atlanta, GA is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $32.12 and $40.67 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

Is machine learning operations a high paying job?

Machine Learning Operations (MLOps) roles typically offer high salaries due to the specialized skills required, such as expertise in cloud platforms, automation, and data engineering. Compensation varies based on experience, location, and company size, but generally ranks among well-paying tech jobs.

What are machine learning operations?

Machine Learning Operations (MLOps) is a set of practices that combines machine learning, software engineering, and DevOps to deploy, monitor, and maintain machine learning models in production environments. It involves tasks such as model versioning, automation, testing, and ensuring scalability and reliability using tools like CI/CD pipelines and cloud platforms.
Machine Learning Operations jobs near you
Infographic showing various Machine Learning Operations job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $79,792 per year, or $38.4 per hour.

Machine Learning Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 13 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

Social media

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