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Python Machine Learning Jobs (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Strong programming skills in Python. * Experience with supervised and unsupervised learning ... Machine Learning * Deep Learning * TensorFlow * PyTorch * Scikit-learn * Pandas * NumPy * Feature ...

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

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

J2EE, Logistics, Python, Machine Learning Skills Preferred:AIPGEE, Advance data Migration, API, Data Management Experience Required:5+ years of experience in relevant fieldFully Functional Middleware ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

They want programmers who understand data, write clean Python code, evaluate models, connect AI ... SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning ...

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

Python * Machine Learning * Deep Learning * TensorFlow or PyTorch * Scikit-learn * Pandas, NumPy * SQL * Data Analysis * NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Python, Machine Learning, Data Science, GCP, Big Query Experience Required: Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development Experience ...

Strivector Corp

Machine Learning

Manhattan, NY · On-site

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine Learning experience • Deep understanding of statistical learning methods • Strong communications and ...

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Strong Python programming experience (backend development, APIs, automation) * Experience deploying ...

Palnar

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

Good Machine Learning foundations, practical experience with classification, regression and clustering methods strong python coding, computing fundamentals/data structures, SQL, experience with ...

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How much do python machine learning jobs pay per hour?

As of Jul 31, 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.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence or machine learning, often requiring advanced skills in programming, data analysis, and deep learning frameworks. Such roles are usually found in senior or executive levels, involving leadership, research, or specialized technical expertise, and may require relevant certifications or advanced degrees.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

For Python machine learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist due to their need for complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced programming skills, understanding of algorithms, and the ability to adapt to new tools and techniques as AI evolves. Continuous learning and staying updated with frameworks like TensorFlow or PyTorch are essential for long-term relevance.

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 is the salary of machine learning with Python?

The salary for a Python machine learning engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, deep learning, and relevant tools like TensorFlow or scikit-learn tend to earn higher salaries.
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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% 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 5 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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