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

Inovalon

Senior Machine Learning Engineer

Atlanta, GA

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and operational outcomes at scale. In this role, you will contribute to both classical machine ...

Inovalon, Inc.

Senior Machine Learning Engineer

Atlanta, GA · On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and operational outcomes at scale. In this role, you will contribute to both classical machine ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... and operational outcomes at scale. In this role, you will contribute to both classical machine ...

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 ...

Iterable

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$100K - $138K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... operations. • Collaborate with product, design, and engineering to align ML system design with ...

Iterable

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning ... Ensure secure, robust handling of data used in ML workflows and retrieval operations. * Collaborate ...

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Machine Learning Operations information

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$58

How much do machine learning operations jobs pay per hour?

As of Jul 8, 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.

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

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.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
Machine Learning Operations jobs near you
Machine Learning Operations Engineer II

Machine Learning Operations Engineer II

CliftonLarsonAllen

Atlanta, GA • On-site

$66K - $90K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants

Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
CLA is growing and seeking to hire an experienced Machine Learning Operation Engineer:this position offers growth, flexibility and a collaborative work environment.
We're looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.
How you'll create opportunities in this role:
• Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
• Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
• Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
• Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
• Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
• Support maintenance of documentation for MLOps processes and systems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Ensure compliance with data security and privacy regulations.
• Stay up to date with industry trends and advancements in machine learning and MLOps.
Technologies You'll Use
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Basic understanding of SQL and experience with ETL pipeline design and maintenance.
  • Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.,
  • Proficiency in programming languages such as Python.
  • Knowledge of data pipeline architecture and data transformation.
  • Knowledge of machine learning model deployment and management.
  • Familiarity with performance monitoring and optimization techniques.
  • Basic understanding of machine learning and DevOps principles.

What you will need:
  • 2+ years' experience as a Data/ML Engineer
  • Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here.

What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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