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Python Machine Learning Jobs in Texas (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

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Strong Python engineering background * Experience working with AI/LLM technologies and frameworks ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Avride

Machine Learning Engineer

Austin, TX

Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...

Apple

Machine Learning Engineer

Austin, TX · On-site

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

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How much do python machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for python machine learning in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

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 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.
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What cities in Texas are hiring for Python Machine Learning jobs? Cities in Texas with the most Python Machine Learning job openings:
Python Machine Learning jobs near you

Data Scientist (Min 6 Yrs exp in Machine Learning with Python) - Need H1B, GC, USC except OPT

millenniumsoft

Dallas, TX • On-site

Full-time

Posted 25 days ago

Job description

Position : Data Scientist
Location : Dallas (Contract Hybrid Role)
Junior position:$60-$65 // Senior position:$65-$72
C2C ; No OPT; No sponsor
Job Description
Minimum 6 years of experience in the following areas, with a priority on Machine Learning with Python:
  • Proficiency in using Python machine learning libraries (e.g., sklearn, TensorFlow, Keras, etc.).
  • Proficient in utilizing AWS suite of products, particularly SageMaker and S3.
  • Experience with automation tools, including Airflow.
  • Strong background in feature engineering.
  • Proven experience in model evaluation for time series analysis.
  • Familiarity with model performance monitoring techniques.
  • Knowledge of forecast algorithms such as RandomForest Regressor, XGB, Prophet, TransformerModel.

familiarity with TFT is a plus.
  • Demonstrated problem-solving skills and a customer-focused mindset.

Apply