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Python Ml Developer Jobs (NOW HIRING)

Senior Python Developer

Atlanta, GA · On-site

$116K - $157K/yr

Alpharetta, GA Duration: 6 months GBaMS ReqID: 10527471 Senior Python Developer - AI/ML Model SDKs **(USCs + GC holders only) • Senior Python Developer responsible for designing, building, and ...

Staff ML Engineer

Zionsville, IN · On-site

$190 - $215/hr

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit‑learn) and model evaluation--enough to partner effectively with data scientists. * Feature Engineering Infrastructure

New

Python Developer

Charlotte, NC · On-site

$55 - $75/hr

Python Developer Onsite Role Charlotte NC Key Responsibilities * Build and maintain large-scale ... Design and implement ML training and inference workflows using PyTorch and integrate them into ...

Python Developer Onsite Role Charlotte NC Key Responsibilities * Build and maintain large-scale ... Design and implement ML training and inference workflows using PyTorch and integrate them into ...

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

Working knowledge of Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and model evaluation-enough to partner effectively with data scientists * Feature Engineering Infrastructure:

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Python Ml Developer information

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$13

$58

$86

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

More about Python Ml Developer jobs

What cities are hiring for Python Ml Developer jobs?

Cities with the most Python Ml Developer job openings:

What states have the most Python Ml Developer jobs?

States with the most job openings for Python Ml Developer jobs include:

What job categories do people searching Python Ml Developer jobs look for?

The top searched job categories for Python Ml Developer jobs are:

Infographic showing various Python Ml Developer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Unix machine learning Support Engineer

Centraprise

Chandler, AZ • On-site

Full-time

Re-posted 25 days ago


Job description

Job Title : Python Unix machine learning Support Engineer
Job Location : Chandler, AZ (ONSITE)
Job Type : Full-Time
Job Description:
Python Unix machine learning Support Engineer
Must Have Technical/Functional Skills
Unix, ShellScripting, Python, Machine learning, Production Support
Roles & Responsibilities
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills
can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning
techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production
use cases.