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

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

Utilize Python, machine learning frameworks, large language models (LLMs), and AI-assisted development tools to accelerate solution delivery. * Support model validation, performance monitoring, and ...

New

AI/ML Engineer (Eng - Senior) Cementing

Houston, TX · On-site +1

$99K - $137K/yr

Utilize Python, machine learning frameworks, large language models (LLMs), and AI-assisted development tools to accelerate solution delivery. * Support model validation, performance monitoring, and ...

New

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

You will apply machine learning science as a core discipline - developing novel algorithms and ... Python, Go, Java, C++). * Advanced SQL knowledge. * Experience with modern ML engineering practices ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... • Fluency in Python for both data science and engineering purposes: clean, modular, well ... machine learning or statistical models, with a proven track record of delivering end-to-end ...

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn). * Cloud (AWS) and containerization ...

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Python Machine Learning information

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How much do python machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for python machine learning in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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.
What job categories do people searching Python Machine Learning jobs in Houston, TX look for? The top searched job categories for Python Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Python Machine Learning jobs? Cities near Houston, TX with the most Python Machine Learning job openings:
Infographic showing various Python Machine Learning job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 9 days ago


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.