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Machine Learning Engineer Python Jobs in Alpharetta, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize ... The ideal candidate will have strong experience with Python, machine learning frameworks, data ...

New

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

Familiarity with Machine Learning flow, Databricks, CI/CD ... Strong Python programming (production-level) * Experience with ML frameworks (PyTorch, TensorFlow ...

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow,Scikitlearn). * Experience ...

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 ... Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high ...

Sr Machine Learning Engineer

Atlanta, GA · On-site

$159K - $276K/yr

Strong programming skills in Python with proficiency in relevant libraries (pandas, scikit-learn ... for machine learning services * Experience in analyzing the ML algorithms that could be used to ...

... the machine learning function at a market-leading insurance company. As one of the first data ... Strong proficiency in Python and ML frameworks. * Experience with Databricks and Azure for data ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Python and PyTorch and other scientific computing environments a plus Strong mathematical ...

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 ... Python, Java, etc.) * 1+ Years of Experience implementing vector search, semantic search, or ...

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 ... Python, Java, etc.) * 1+ Years of Experience implementing vector search, semantic search, or ...

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Machine Learning Engineer Python information

See Alpharetta, GA salary details

$22.5K

$136.7K

$197.7K

How much do machine learning engineer python jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning engineer python in Alpharetta, GA is $136,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

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

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

What job categories do people searching Machine Learning Engineer Python jobs in Alpharetta, GA look for?

The top searched job categories for Machine Learning Engineer Python jobs in Alpharetta, GA are:

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

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

    Infographic showing various Machine Learning Engineer Python job openings in Alpharetta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $136,653 per year, or $65.7 per hour.

    Machine Learning Engineer

    Atlanta, GA

    innovitusa
    IT Services • 11 - 50 employees

    Contractor

    Posted yesterday

    New


    Job description

    Hiring: W2 Candidates Only

    Job Description:
    We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python, machine learning frameworks, data processing, and cloud-based ML platforms.

    Required Skills:

    • 5+ years of Machine Learning experience
    • Python
    • Scikit-learn
    • TensorFlow or PyTorch
    • Machine Learning algorithms
    • Pandas and NumPy
    • SQL
    • Model development and evaluation
    • Data preprocessing
    • Model deployment

    Preferred Skills:

    • Generative AI
    • Large Language Models (LLMs)
    • NLP
    • Hugging Face
    • AWS SageMaker or Azure ML
    • MLflow
    • Docker and Kubernetes
    • MLOps
    • Experience with AI/ML production environments

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