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Machine Learning Engineer Jobs in Loganville, GA

... Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production. * Strong aptitude for ...

Machine Learning Lead Engineer

Atlanta, GA · On-site +1

$134K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cox Automotive is hiring a Machine Learning Engineer Lead for the AI Accelerator team. The role spans three areas. The Lead builds and scales machine learning models across the company, from design ...

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cox Automotive is hiring a Machine Learning Engineer Lead for the AI Accelerator team. The role spans three areas. The Lead builds and scales machine learning models across the company, from design ...

Staff Machine Learning Engineer - Leasing

Atlanta, GA · On-site

$16.25 - $19.25/hr

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer to own and evolve the infrastructure and surface mechanisms that take our data science and ML ...

Senior Machine Learning Test Engineer

Atlanta, GA · On-site +1

$106K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

About the role As a Staff AI Engineer at Tonic, you'll own the models that make Tonic's data trustworthy - training the synthesis models that replace sensitive data with something realistic enough to ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Sr. AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

JD: Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP, and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and MLOps to ...

AI/ML Engineer

Atlanta, GA

$110K - $132K/yr

Experienced AI/ML Engineer with expertise in Machine Learning, Deep Learning, NLP,and Generative AI. strong expertise in LLMs, Retrieval-Augmented Generation (RAG),Agentic AI, and MLOps to develop ...

Gen AI Engineer Atlanta GA Full time Job Summary We are seeking a highly skilled and motivated ... Deploy machine learning models and ensure their effective integration into existing systems.

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics ...

Showing results 41-60

Machine Learning Engineer information

See Loganville, GA salary details

$30.1K

$123K

$184.8K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Loganville, GA is $123,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Loganville, GA?

The most popular types of Machine Learning Engineer jobs in Loganville, GA are:

What are popular job titles related to Machine Learning Engineer jobs in Loganville, GA?

For Machine Learning Engineer jobs in Loganville, GA, the most frequently searched job titles are:

What cities near Loganville, GA are hiring for Machine Learning Engineer jobs?

Cities near Loganville, GA with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Loganville, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $123,008 per year, or $59.1 per hour.

Junior Machine Learning Engineer

Coca-Cola

Atlanta, GA • On-site

Full-time

Posted 10 days ago


Coca-Cola Consolidated rating

7.2

Company rating: 7.2 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

197th of 439 rated food and drinks producers


Job description

Job Description Summary:

The Coca-Cola Company's Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers.

In this position, you will embark on a journey ofleveragingvast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategyacross the organization. This is an exciting opportunity togrow inyour career in data science and analytics within a supportive and innovative environment.

What You'll Do for Us:

  • Collaborate with cross-functional teams to understand businessrequirementsand objectives.

  • Translate business requirementsby incorporating data and developML and AIalgorithms toproduce actionable insightsfor various functional areas and use-cases, includingMarketing,Finance,TechnicalInnovation andSupply Chain (amongothers) across the Globe.

  • Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling.

  • Visualizeand interpretdata andcreatereportsand actionable insights.

  • Communicate complex analytical work to a variety of technical and non-technical stakeholders.

  • Partner withML OPSto scaleandoperationalize MLandAIuse-cases.

  • Maintain technical documentation in accordance with the agreed standards.

  • Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code.

  • Leverage CI and CD principles to automate and improve repeatability of deployments.

  • Keep abreast of industry trends and developments in data science and analytics.

Qualifications& Requirements:

  • Bachelor's orMaster's degree inaquantitative field, such asData Science,Statistics,Computer Science,Economics, Finance,Mathematicsor other quantitativediscipline.

  • Experience gathering, interpreting and translating business requirements.

  • 2+ years' experience withanalytical and programming languages and packages, such as Python, R, and SQL.

  • Able to understand various data structures and common methods in datatransformation.

  • Knowledge and experienceapplying a range of statistical, modeling, and mathematical optimization techniques including hypothesis testing, dimensionality reduction, Mixed-Integer Programming (MIP), supervised learning (classification and regression), Bayesian modeling, forecasting, and unsupervised clustering and putting solutions into production.

  • Strong aptitude for learning and applying new technologies related to Data Science and Data Management.

  • Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences.

  • Experience with code version control platforms like GitHub, GitLab or Azure DevOps.

Functional Skills:

Practical experience with as many of the following as possible:

  • Handles multiple competing priorities in a fast-paced, deadline-driven environment

  • Strong attention to details and excellent problem-solving skills

  • Ability to work in a collaborative team environment

  • Highly innovative, adaptable, and self-directed

  • Results-oriented with a delivery focus

  • Presentation skills: Ability to communicate technical topics to business audience.

  • Be able to collaborate across other levels of the organization

  • Team player who can lead a discussion to defined outcomes

  • Effective Communication

  • Pursuing Innovation

What We Can Do for You:

  • Innovation & Technology:The ability to work with an award-winning team that is on the cutting edge of innovation.

  • Exposure to World Class Leaders:Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.

  • Agile Work Environment:We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate.

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Pay Range:

United States of America: 96,500 USD - 115,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

7.5

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

August 14, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Visionto learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

What Coca-Cola Consolidated employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Coca-Cola Consolidated logo

About Coca-Cola Consolidated

Sourced by ZipRecruiter

Coca-Cola Consolidated, based in Charlotte, NC, US, is a preeminent company in the beverage industry. The company is the largest independent bottler for The Coca-Cola Company in the United States. The company’s product portfolio includes prominent beverages such as Coca-Cola, Diet Coke, Sprite, and a variety of other beverages produced by The Coca-Cola Company. Founded in in 1980 after multiple expansions and mergers, the company has since gained a steadfast reputation in the industry as a leading bottler and distributor. Coca-Cola Consolidated's core values are committed to excellence, committed to service, committed to a higher calling, and committed to each other. Their mission is to share in the refreshment, fun, and fellowship of happiness found in The Coca-Cola Company’s beverages. Their notable achievements include not only market expansion but also their history of giving back to the communities where they operate, signifying their dedication to corporate social responsibility.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US