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Machine Learning Engineer Python Jobs in Houston, TX

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

Vitol

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 ...

Vitol

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 ...

Vitol

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 ...

Bespoke Labs

Machine Learning Engineer

Houston, TX · On-site

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 ...

Vitol

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 ...

Beth Page tech

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 ...

Cisco

Principal Machine Learning Engineer

Houston, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) • Experience translating ...

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Machine Learning Engineer Python information

See Houston, TX salary details

$22K

$133.7K

$193.4K

How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in Houston, TX is $133,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $157,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Houston, TX? For Machine Learning Engineer Python jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Houston, TX look for? The top searched job categories for Machine Learning Engineer Python jobs in Houston, TX are:
What cities near Houston, TX are hiring for Machine Learning Engineer Python jobs? Cities near Houston, TX with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Houston, TX as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,669 per year, or $64.3 per hour.
AI Machine Learning Engineer

AI Machine Learning Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 15 days ago

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes.
Essential Job Responsibilities
  • Work with Subject Matter Experts to design appropriate machine learning model types and architectures for particular applications ranging from subsurface characterization, reservoir engineering, production, and facilities etc
  • Tune algorithm hyper-parameters and perform model training and validation
  • Create workflows to optimize performance for computationally heavy workloads
  • Collaborate with Machine Learning Operation team to deploy machine learning solutions to the cloud

Qualifications
  • Bachelor's degree in computer science, mathematics, physics, engineering or related field required
  • Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered.
  • A minimum of 5 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
  • Strong Python or R programming skills required
  • Experience developing, architecting, and running ML or deep learning workload in the Cloud.
  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyper parameter optimization
  • Ability to follow model training, deployment, and operational best practices
  • Experience with Docker for containerization and Kubernetes for orchestration
  • Knowledge of Terraform and Ansible for automating infrastructure management
  • Knowledge of YAML for automating model and application code deployment
  • Understanding of data engineering principles and databases (relational, NoSQL)
  • Strong critical thinking and communication skills

Additional Desired Qualifications:
  • AWS certification is highly preferred, with a strong preference for the AWS Certified Machine Learning - Specialty credential.
  • Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte Carlo (MCMC), and causal inference.
  • Hands-on experience in geospatial data analytics using Esri products, with a focus on ArcGIS Enterprise.
  • Experience with LLM-powered applications such as chatbots, question-answering systems, document processing and agentic workflow design.

Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Oxy logo

About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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