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

Cisco

Principal Machine Learning Engineer

Houston, TX

$291K - $369K/yr

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep NLP ...

W3Global

Senior Data Scientist

Texas City, TX · On-site

Skills and Tools Required: - Strong proficiency in programming languages such as Python or R. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid ...

Raas Infotek LLC

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

This role requires strong expertise in machine learning algorithms, deep learning frameworks, cloud ... Strong experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Keras ...

Marici Solutions

Senior Data Scientist

Texas City, TX · On-site

Strong proficiency in programming languages such as Python or R. * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). * Solid understanding of statistical analysis ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency in Python (clean, modular, well ...

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How much do python machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for python machine learning in Houston, TX is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.63 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Python machine learning professional, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as data scientist, AI researcher, software engineer, cybersecurity analyst, and technical project manager. These jobs often involve designing, interpreting, and overseeing AI systems, requiring specialized skills, domain knowledge, and adaptability that AI tools currently cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions may involve overseeing large teams, strategic planning, and working with cutting-edge technologies and tools, and they usually offer compensation packages including base salary, bonuses, and stock options. Such high salaries are rare and usually found in large tech companies or organizations with significant AI investments.

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.

Can I learn AI in 3 months?

For a Python Machine Learning role, learning AI in three months is challenging but possible with intensive study, focusing on core concepts like algorithms, data handling, and relevant tools such as TensorFlow or scikit-learn. Success depends on prior programming experience, dedication, and structured learning plans, but mastering advanced AI topics typically requires longer timeframes.

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.

Is Python a high paying job?

Python machine learning roles are generally well-paid due to the high demand for data science and AI skills. Salaries depend on experience, location, and expertise with tools like TensorFlow or scikit-learn, but these positions often offer competitive compensation compared to other programming roles.
What are the most commonly searched types of Python Machine Learning jobs in Houston, TX? The most popular types of Python Machine Learning jobs in Houston, TX are:
What are popular job titles related to Python Machine Learning jobs in Houston, TX? For Python Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
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:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in Houston, TX as of June 2026, with employment types broken down into 4% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $112,900 per year, or $54.3 per hour.
Senior Machine Learning Engineer - Medical Imaging

Senior Machine Learning Engineer - Medical Imaging

MD Anderson

Houston, TX

$99K - $137K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 4 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

33rd of 875 rated healthcare providers

Job description

As a Senior Machine Learning Engineer specializing in medical imaging within the Data Impact & Governance department, you will help shape the future of clinical AI by building, deploying, and operating imaging models that directly impact patient care. This role offers the unique opportunity to work at the cutting edge of applied medical imaging ML within a world-renowned cancer center-where your solutions influence diagnosis, treatment, safety, and operational excellence.
What's in it for you?
  • Exceptional Benefits: MD Anderson provides paid medical benefits, generous PTO, and strong retirement plans, supporting your health, well-being, and long-term financial security.
  • High-Impact Work: Your models will be used in real clinical workflows-helping clinicians detect disease, streamline operations, and support better outcomes for patients.
  • Advanced Technical Environment: Work with large-scale imaging datasets, enterprise GPU infrastructure, distributed compute, and cutting-edge ML technologies-all within a governed clinical environment.
  • Career Growth & Visibility: Collaborate closely with clinicians, data scientists, ML leadership, radiologists, and operational teams. Your work will influence institutional AI strategy and governance.
  • Innovation with Responsibility: Help advance safe, ethical, and trustworthy AI practices in one of the world's leading cancer centers.
  • Collaborative Culture: Be part of a mission-driven organization that values innovation, learning, and teamwork.

Summary
The Senior Machine Learning Engineer - Medical Imaging owns the full lifecycle of clinical computer vision models deployed across the enterprise. This includes defining clinical ML problems, designing and training models, conducting rigorous validation, deploying models into clinical environments, and ensuring ongoing performance and reliability in real-world workflows.
The role is intended for engineers experienced in deploying and operating medical imaging ML models in production-especially within regulated, clinical, or safety-sensitive settings. You will collaborate with multidisciplinary teams, investigate model performance issues such as distribution shift or protocol variability, and ensure responsible AI adoption through strong documentation, traceability, and governance alignment.
Major Work Activities
Core Responsibilities
  • Own the full lifecycle of medical imaging ML models-from problem definition and model development to deployment, monitoring, maintenance, and retirement.
  • Participate as a technical owner in formal governance, release, and incident review processes, with clear escalation paths and responsibilities.
  • Translate clinical imaging use cases into deployable AI solutions with defined evaluation metrics, operating thresholds, and reproducible implementation strategies.
  • Design and execute post-deployment monitoring, including detection and mitigation of model degradation due to distribution shift, scanner changes, or labeling variability.
  • Collaborate with ML platform, data science, IT, and clinical operations teams to deploy and operate models in secure enterprise environments.
  • Maintain responsible AI practices, ensuring traceability of data, models, experiments, and documentation of limitations and failure modes.
  • Contribute to fallback, rollback, and model decommissioning strategies to support patient safety and operational continuity.
  • Engage clinical, technical, and operational partners to support safe adoption and communicate model risks, behaviors, and performance.
  • Mentor junior team members and contribute to best practices, review standards, and reproducible ML workflows.

Competencies
Technical Expertise
  • Experience developing, deploying, and operating medical imaging ML models in regulated clinical environments.
  • Ability to build imaging data pipelines involving DICOM workflows, dataset versioning, and distributed training.
  • Deep proficiency in Python and PyTorch for model training and inference under GPU and memory constraints.
  • Experience orchestrating ML workflows using Airflow, Prefect, or similar DAG-based systems.
  • Skilled in deploying containerized ML workloads on enterprise cloud platforms such as Azure using Kubernetes.
  • Understanding of audit-ready model tracking, lineage, and controlled promotion workflows.

Analytical Expertise
  • Ability to scope medical imaging ML projects end to end, considering clinical and regulatory constraints.
  • Experience designing validation strategies aligned with governance, regulatory expectations, and change control processes.
  • Knowledge of healthcare data privacy requirements as they relate to medical imaging and clinical metadata.
  • Ability to evaluate model performance quantitatively in the context of clinical workflows and operational realities.
  • Experience engaging clinicians, patient safety, and business stakeholders to communicate model performance, impacts, and risk considerations.
  • Ability to assess model generalizability and failure modes across scanners, sites, and populations.

Oral & Written Communication
  • Collaborate effectively with data scientists, ML engineers, software teams, clinicians, and operational leaders to integrate imaging models into real workflows.
  • Produce clear, comprehensive technical documentation including design specs, validation reports, and runbooks.
  • Communicate project risks, timelines, and outcomes to leadership and governance bodies.
  • Contribute to internal technical standards, best practices, and shared ML development frameworks.
  • Present technical and non-technical updates clearly across multiple stakeholder groups.

Education Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another related engineering discipline.
Preferred Education: Master's Degree or PHD with a concertation in Science, Engineering, or related field.
Experience Required: Five years of experience in machine learning engineering, data science, data engineering, and/or software engineering. With Master's degree, three years' experience required. With PhD, one year of experience required.
Preferred Experience:
  • Experience operating medical imaging ML systems across multiple sites, scanners, or protocols, rather than a single controlled environment.
  • Experience handling post-deployment failures, including performance degradation, clinical incidents, model updates, or corrective actions.
  • Experience raising the technical bar for team members, such as establishing reproducibility practices, review standards, or shared patterns.
  • Experience technically evaluating third-party medical imaging AI within clinical workflows.
    The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
    This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
    It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information
  • Requisition ID: 178307
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 146,500
  • Midpoint Salary: US Dollar (USD) 183,000
  • Maximum Salary : US Dollar (USD) 219,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Hard
  • Work Location: Remote (within Texas only)
  • Pivotal Position: Yes
  • Referral Bonus Available?: Yes
  • Relocation Assistance Available?: Yes

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