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

Senior Machine Learning Engineer (3967)

Atlanta, GA ยท On-site

$100.50K - $138K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual ... Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus) * Hands-on ...

Sr. Machine Learning Engineer

Atlanta, GA ยท Remote

$100.50K - $138K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ... Strong software engineering expertise with languages such as Python, Go, Ruby, or JavaScript * Deep ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high ...

Senior Machine Learning Engineer (Nova)

Atlanta, GA ยท On-site

$117.80K - $155.30K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning ... Strong engineering skills with Python or TypeScript, including experience building ML workflows in ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high ...

Senior Machine Learning Test Engineer

Atlanta, GA ยท On-site +1

$106.30K - $138K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Python Tutor

Atlanta, GA ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Duluth, GA ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Sandy Springs, GA ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Johns Creek, GA ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Python Machine Learning information

See Atlanta, GA salary details

$12

$56

$82

How much do python machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for python machine learning in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.
Infographic showing various Python Machine Learning job openings in Atlanta, GA as of May 2026, with employment types broken down into 3% As Needed, 67% Full Time, 15% Part Time, 5% Temporary, and 10% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $117,257 per year, or $56.4 per hour.

Senior Machine Learning Engineer (3967)

GBG

Atlanta, GA โ€ข On-site

$100.50K - $138K/yr

Full-time

Posted 3 days ago


Job description

About GBG
Enabling safe and rewarding digital lives for genuine people, everywhere
We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role
CVML Teams
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
Senior Machine Learning Engineer
The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production-grade systems. This role combines strong hands-on technical execution with mentorship, collaboration, and data-driven problem solving.
Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality.
What you will do
Technical Development & Innovation
  • Design, implement, and optimize state-of-the-art machine learning and computer vision models to enhance product capabilities.
  • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision-language models.
  • Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.
  • Fine-tune large-scale models using efficient adaptation techniques such as LoRA and QLoRA.

Model Evaluation & Data Analysis
  • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).
  • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.
  • Propose and implement data-driven enhancements to model accuracy, robustness, and system stability.

Production Deployment & MLOps
  • Support end-to-end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.
  • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.
  • Assist in diagnosing and resolving model performance regressions and production issues.

Mentorship & Team Contribution
  • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.
  • Participate in design reviews, technical discussions, and knowledge-sharing initiatives to raise overall team capability.
  • Contribute actively to Agile ceremonies and collaborative problem-solving efforts.

Continuous Improvement & Collaboration
  • Proactively suggest improvements to existing models, workflows, tools, and product features.
  • Collaborate effectively with engineering, product, and data stakeholders to deliver high-impact ML solutions.
  • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real-world problems.

Skills we're looking for
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience
  • Strong hands-on experience developing and deploying machine learning models in production environments.
  • Advanced understanding of supervised, unsupervised, and semi-supervised learning techniques.
  • Expertise in classification, regression, clustering, and anomaly detection.
  • Solid experience with convolutional neural networks, recurrent neural networks, and transformer-based models.
  • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)
  • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning.
  • Experience using computer vision and scientific computing libraries such as OpenCV.
  • Familiarity with model deployment, monitoring, and CI/CD workflows.
  • Beneficial to have experience working with large-scale datasets and performance-critical ML systems.
  • Prior experience mentoring or technically guiding other ML engineers.
  • Beneficial to have exposure to production MLOps practices and model lifecycle management.
  • Able to balances research-driven exploration with pragmatic, production-focused execution.

To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to behired@gbgplc.com and we'll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.