1

Senior Machine Learning Software Engineer Jobs in Atlanta, GA

... building a modern, machine learning-driven search platform that powers intelligent product ... This opportunity sits within a newly formed Search Engineering team, working closely with senior ML ...

... software engineers to integrate ML into applications through APIs, event streams, or workflow ... Required : • 3 years (Mid) / 5 years (Senior) experience shipping ML systems into production (not ...

Sr. Software Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Ministry Brands is looking for a Senior Software Engineer to join our growing team! Who we are ... machine learning and LLM-based architectures. Key Responsibilities: Application Development

Machine Learning Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

Our software engineering teams are rapidly adopting AI using generative models, intelligent search ... As a Machine Learning Engineer II (AI Enablement), you will play a crucial role in designing ...

Machine Learning Engineer II

Atlanta, GA

$93K - $128K/yr

Our software engineering teams are rapidly adopting AI using generative models, intelligent search ... As a Machine Learning Engineer II (AI Enablement), you will play a crucial role in designing ...

Senior Software Engineer

Peachtree Corners, GA · On-site

$115K - $152K/yr

... utilizing machine learning, intelligent care paths, and predictive protocols. If you are an ... Brightree, a ResMed company, is looking for a Senior Software Engineer to join the Brightree ...

Senior Software Engineer

Peachtree Corners, GA · On-site

$115K - $152K/yr

... utilizing machine learning, intelligent care paths, and predictive protocols. If you are an ... Brightree, a ResMed company, is looking for a Senior Software Engineer to join the Brightree ...

Senior Software Engineer

Peachtree Corners, GA · On-site

$115K - $152K/yr

... utilizing machine learning, intelligent care paths, and predictive protocols. If you are an ... Brightree, a ResMed company, is looking for a Senior Software Engineer to join the Brightree ...

next page

Showing results 1-20

Senior Machine Learning Software Engineer information

See Atlanta, GA salary details

$72.6K

$137.8K

$184.6K

How much do senior machine learning software engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for senior machine learning software engineer in Atlanta, GA is $137,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $155,300.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Atlanta, GA? For Senior Machine Learning Software Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Atlanta, GA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Atlanta, GA are:
Infographic showing various Senior Machine Learning Software Engineer job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% Locum Tenens, 79% Full Time, 11% Part Time, 2% Temporary, 6% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $137,797 per year, or $66.2 per hour.

Machine Learning Engineer/AI Engineer

Scalence L.L.C.

Atlanta, GA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Scalence L.L.C. is seeking a Machine Learning Engineer/AI Engineer to develop and deploy machine learning models and AI systems. This role involves collaborating with stakeholders to frame business problems, building production-grade ML services, and ensuring data quality in a hybrid work environment.
Responsibilities:
• Partner with stakeholders to frame business problems as ML/AI use cases, define success metrics, and identify required data.
• Build and iterate on models using appropriate approaches (e.g., classification, regression, ranking, clustering, anomaly detection, NLP).
• Perform feature engineering, dataset creation, labeling strategies, and model evaluation with strong scientific rigor.
• Implement techniques for model interpretability, bias assessment, and responsible AI where applicable.
• Build production-grade ML services and pipelines (batch real-time), ensuring performance, reliability, and maintainability.
• Deploy models to cloud environments using CI/CD and infrastructure-as-code best practices.
• Implement monitoring for data drift, model drift, latency, throughput, cost, and model quality.
• Maintain versioning for datasets, features, models, and experiments to ensure repeatability and governance.
• Collaborate with data engineering to create robust data pipelines and ensure data quality.
• Work with software engineers to integrate ML into applications through APIs, event streams, or workflow orchestration.
• Document architecture, operational runbooks, and model cards; participate in reviews and knowledge sharing.
Qualifications:
Required:
• 3 years (Mid) / 5 years (Senior) experience shipping ML systems into production (not just notebooks).
• Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost).
• Experience with data processing and analytics using tools such as Pandas, NumPy, SQL, Spark (as applicable).
• Solid understanding of ML fundamentals: bias/variance, evaluation metrics, cross-validation, feature engineering, and error analysis.
• Experience building and deploying ML services (e.g., FastAPI/Flask), containerization (Docker), and CI/CD.
• Ability to communicate tradeoffs and results clearly to both technical and non-technical stakeholders.
• 4 years of experience developing APIs and integrating with 3rd party APIs.
• Strong SQL skills (SQL Server or Oracle).
• Familiarity with scripting languages (Python, Bash, Powershell).
• Experience with version control systems (Git, GitHub, GitLab).
• Knowledge of CI/CD pipelines and DevOps best practices.
• Understanding of workflow automations is a plus.
• Excellent problem-solving, analytical, and communication skills.
Preferred:
• Prior work experience at client or in client's industry.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, New Jersey, US, , with a team of 501-1000 employees. The company is currently Late Stage.