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Mlops Machine Learning Engineer Jobs in Atlanta, GA

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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 ... End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD ...

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 systems of systems for training and running machine learning models with industry best practice

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... MLOps & Infrastructure Champion MLOps best practices: model versioning, champion/challenger ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... MLOps & Infrastructure Champion MLOps best practices: model versioning, champion/challenger ...

CNN

Machine Learning Engineer I

Atlanta, GA · On-site

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

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 ... Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · On-site +1

$98K - $129K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model ...

Lennar

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... The ideal candidate is a software engineer with deep MLOps expertise. They know how to design model ...

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 that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

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All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Atlanta, GA

Mlops Machine Learning Engineer information

See Atlanta, GA salary details

$30.3K

$123.8K

$186.1K

How much do mlops machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for mlops machine learning engineer in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

What does an MLOps Machine Learning Engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

What is the difference between Mlops Machine Learning Engineer vs Data Scientist?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Atlanta, GA? For Mlops Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Atlanta, GA look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Atlanta, GA are:
Mlops Machine Learning Engineer jobs near you

Java MLOps Engineer (Spring + ML Pipelines) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$50.50 - $69.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Java MLOps Engineer (Spring + ML Pipelines)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a dedicated Java MLOps Engineer to streamline machine learning pipelines using Java and Spring, ensuring efficient model deployment and management. This role focuses on integrating MLOps practices with tools like Kubeflow, MLflow, or AWS SageMaker for scalable AI solutions.
Key Responsibilities
  • Develop Java-based applications using Spring to support machine learning pipelines and MLOps workflows.
  • Implement and manage end-to-end ML pipelines for model training, validation, and deployment using Kubeflow or MLflow.
  • Integrate machine learning models with production systems, leveraging AWS SageMaker for scalable inference.
  • Automate CI/CD processes for ML models, ensuring seamless updates and rollbacks in production environments.
  • Collaborate with data scientists to monitor model performance and optimize pipelines for efficiency and accuracy.
  • Ensure security, versioning, and governance of ML models within Java-based microservices architectures.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in Java development with Spring, focusing on machine learning pipeline integration.
  • Proficiency in building and managing MLOps workflows using tools like Kubeflow, MLflow, or AWS SageMaker.
  • Experience with automating machine learning pipelines for model deployment and monitoring.
  • Strong understanding of Java-based microservices and REST API development for ML integration.

Preferred Qualifications
  • Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and scaling MLOps pipelines.
  • Exposure to containerized environments (Docker, Kubernetes) for managing ML workloads.
  • Knowledge of data versioning and governance tools like DVC or Pachyderm for MLOps pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Java, Spring, MLOps, Machine Learning Pipelines, Kubeflow, MLflow, AWS SageMaker, REST APIs

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