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Python Machine Learning Jobs in Garland, TX (NOW HIRING)

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

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies. Responsibilities

7-ELEVEN

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and ... Work in enterprise environments to build and optimize scalable data pipelines using Python, PySpark ...

7-Eleven

Machine Learning Engineer II

Irving, TX · On-site

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and ... Work in enterprise environments to build and optimize scalable data pipelines using Python, PySpark ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Proficiency in Python with strong software engineering skills and experience in building scalable ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Advanced Python skills with the ability to create clean, tested, and maintainable production code.

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Advanced Python skills with the ability to create clean, tested, and maintainable production code.

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All JobsPython Machine Learning JobsPython Machine Learning Jobs in Garland, TX

Python Machine Learning information

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$12

$56

$83

How much do python machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python machine learning in Garland, TX is $56.64, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

What is a Python machine learning?

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 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 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 are popular job titles related to Python Machine Learning jobs in Garland, TX?

For Python Machine Learning jobs in Garland, TX, the most frequently searched job titles are:

What job categories do people searching Python Machine Learning jobs in Garland, TX look for?

The top searched job categories for Python Machine Learning jobs in Garland, TX are:

What cities near Garland, TX are hiring for Python Machine Learning jobs?

Cities near Garland, TX with the most Python Machine Learning job openings:

Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in Garland, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 21% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $117,808 per year, or $56.6 per hour.

Machine Learning Engineer

Plano, TX • On-site

Smart Info Solutions llc
See more jobs at Smart Info Solutions llcexternal

Other

Posted 2 days ago

New

Job description

Job Title: Machine Learning Engineer
Location: Plano, TX – Onsite/Hybrid
Job Type: Contract
Work Authorization: STRICTLY ON W2

Job Summary

We are looking for a Machine Learning Engineer with a strong engineering and model-development mindset. The ideal candidate will have hands-on experience with Python, machine learning model development, deployment, troubleshooting, and production support across Windows and Linux environments.

This is not primarily a DevOps or SRE position. We are looking for someone who understands the engineering side of machine learning, including model development and lifecycle, while also being comfortable supporting ML applications in production.

Key Responsibilities

  • Develop, maintain, deploy, and troubleshoot machine learning applications and models.

  • Work closely with Data Scientists and ML Engineers to take models from development through production.

  • Develop and maintain Python-based ML applications and services.

  • Support ML applications running on Windows and Linux environments.

  • Manage and troubleshoot Kubernetes clusters and Docker containers supporting ML workloads.

  • Deploy and manage machine learning models throughout their lifecycle.

  • Debug complex production issues using Python, logs, monitoring, and troubleshooting tools.

  • Implement monitoring and alerting using Datadog to ensure application and model health.

  • Automate repetitive engineering and operational tasks using Python and other scripting technologies.

  • Work with CI/CD pipelines to support reliable ML application and model deployments.

  • Collaborate with engineering, data science, and infrastructure teams.

  • Ensure ML applications meet requirements for performance, security, scalability, and availability.

  • Document architecture, deployment processes, model workflows, and troubleshooting procedures.

Required Skills

  • Strong hands-on Python programming experience.

  • Strong understanding of Machine Learning concepts and workflows.

  • Experience with ML model development and/or model engineering.

  • Hands-on experience with ML model deployment and lifecycle management.

  • Experience supporting applications in both Windows and Linux environments.

  • Experience with on-premises servers and production environments.

  • Hands-on experience with Kubernetes and Docker.

  • Experience troubleshooting distributed applications and production issues.

  • Experience with Datadog or similar monitoring/observability tools.

  • Experience with CI/CD pipelines for ML applications.

  • Familiarity with AWS cloud services.

  • Understanding of DevOps/SRE practices as they relate to supporting ML applications.

  • Strong problem-solving and debugging skills.

  • Excellent communication and collaboration skills.

Ideal Candidate Profile

We are specifically looking for an engineering-oriented Machine Learning Engineer who can understand and contribute to model development, not just infrastructure or operations.

Strong candidates will have:

  • Machine Learning + Python development experience

  • ML model development/deployment experience

  • Production application troubleshooting experience

  • Kubernetes/Docker experience

  • Windows/Linux administration experience

  • Experience working closely with Data Scientists

The candidate should be stronger on ML engineering and application/model development than pure infrastructure or operations.

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