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Freelance Full Stack Machine Learning Engineer Jobs in Atlanta, GA

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

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 ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people ...

Full Stack Engineer Location:- Atlanta, GA Salary $110K + Benefits Fulltime Overview: We are seeking a hands on Full Stack Engineer to join a team of 8 plus experienced full stack engineers ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Our Technology Stack Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow ...

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design ... Promote a culture of quality, continuous improvement, and learning QUALIFICATIONS 5+ years of ...

... deploying machine learning models * 8+ years of experience with Generative AI, LLMs, or RAG ... Experience with full-stack development or deploying end‑to‑end ML applications * Experience ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

Showing results 21-40

Freelance Full Stack Machine Learning Engineer information

See Atlanta, GA salary details

$42.8K

$129.6K

$183.2K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for freelance full stack machine learning engineer in Atlanta, GA is $129,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 per year, depending on experience, location, and employer.

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

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

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

The most popular types of Full Stack Machine Learning Engineer jobs in Atlanta, GA are:

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Atlanta, GA?

For Freelance Full Stack Machine Learning Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Atlanta, GA look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Atlanta, GA are:

Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Atlanta, GA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $129,603 per year, or $62.3 per hour.

Machine Learning Engineer

Atlanta, GA

Full-time

Re-posted 23 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems