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Python Machine Learning Jobs (NOW HIRING)

Diverse Lynx

Machine Learning | Python

Bellevue, WA

$56.75 - $78.25/hr

Technology Specialist - IT Service, Support and Operations | Machine Learning | Python Work Location: Bellevue, WA 98006 Contract duration: 12months Job Details: Must Have Skills Python Postgres zure ...

Sarian, Inc.

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Machine Learning (SDV). * Apache Spark. * Apache Kafka. * Power Bi, Tableau, QlikView. * PostgreSQL. Manikanth Sarian Solutions, Inc. Ph: 732-790-2266 X 105 manikanth.d@sariansolutions.com

drc

Machine Learning Engineer - Python

Maple Grove, MN · On-site

Design, train, evaluate and iterate on machine learning models to support DRC's education analytics products * Develop high-quality, maintainable Python code for model training, experimentation and ...

Microsoft AI

Machine Learning

Manhattan, NY · On-site

... or Python + OR equivalent experience. • Demonstrated engineering experience or research ... Preferred : • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field ...

Microsoft AI

Machine Learning

Redmond, WA · On-site

... or Python + OR equivalent experience. • Demonstrated engineering experience or research ... Preferred : • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field ...

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How much do python machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python machine learning 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.

Which 5 jobs will survive AI?

For a Python machine learning professional, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as data scientist, AI researcher, software engineer, cybersecurity analyst, and technical project manager. These jobs often involve designing, interpreting, and overseeing AI systems, requiring specialized skills, domain knowledge, and adaptability that AI tools currently cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions may involve overseeing large teams, strategic planning, and working with cutting-edge technologies and tools, and they usually offer compensation packages including base salary, bonuses, and stock options. Such high salaries are rare and usually found in large tech companies or organizations with significant AI investments.

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.

Can I learn AI in 3 months?

For a Python Machine Learning role, learning AI in three months is challenging but possible with intensive study, focusing on core concepts like algorithms, data handling, and relevant tools such as TensorFlow or scikit-learn. Success depends on prior programming experience, dedication, and structured learning plans, but mastering advanced AI topics typically requires longer timeframes.

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.

Is Python a high paying job?

Python machine learning roles are generally well-paid due to the high demand for data science and AI skills. Salaries depend on experience, location, and expertise with tools like TensorFlow or scikit-learn, but these positions often offer competitive compensation compared to other programming roles.
More about Python Machine Learning jobs
What cities are hiring for Python Machine Learning jobs? Cities with the most Python Machine Learning job openings:
What are the most commonly searched types of Python Machine Learning jobs? The most popular types of Python Machine Learning jobs are:
What states have the most Python Machine Learning jobs? States with the most job openings for Python Machine Learning jobs include:
What job categories do people searching Python Machine Learning jobs look for? The top searched job categories for Python Machine Learning jobs are:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 82% Full Time, 3% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Python Unix machine learning Support Engineer

Python Unix machine learning Support Engineer

Centraprise

Chandler, AZ • On-site

Full-time

Posted 22 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.

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