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Machine Learning Biomedical Engineer Jobs in Texas

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems . In this role, you will design ...

PayPal

Machine Learning Engineer

Austin, TX

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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All JobsMachine Learning Biomedical Engineer JobsMachine Learning Biomedical Engineer Jobs in Texas

Machine Learning Biomedical Engineer information

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

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

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.
What are popular job titles related to Machine Learning Biomedical Engineer jobs in Texas? For Machine Learning Biomedical Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Texas look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Texas are:
What cities in Texas are hiring for Machine Learning Biomedical Engineer jobs? Cities in Texas with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Infographic showing various Machine Learning Biomedical Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.
Mgr. Biomedical Engineer

Mgr. Biomedical Engineer

University Medical Center of El Paso

El Paso, TX

Full-time

Posted 16 days ago

University Medical Center Of El Paso rating

6.7

Company rating: 6.7 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

618th of 1,022 rated hospitals

Job description

Job Summary

The Manager of Biomedical Engineering provides strategic leadership and operational management of the biomedical engineering program, including maintenance, repair, calibration, acquisition, and lifecycle management of all medical equipment and Real-Time Location Systems (RTLS) across the organization. Ensures safe, compliant, and costa'effective operation of medical technology while supporting patient safety, regulatory readiness, and operational efficiency.

Minimum Job Requirements:

Work Experience:

Ten years of biomedical engineering or medical equipment repair required. 

Three years of management experience required.

License/Registration/Certification:

None

Education and Training:

Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Electronics Engineering Technology or related field required.

Master’s degree preferred.

            Skills:

  1. Knowledge of overall biomedical engineering process and procedures.  Knowledge of machines and tools, including designs, uses, repair, and maintenance.
  2. Knowledge of processes for providing customer and personal services to include customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction.
  3. Knowledge of application of engineering science and technology. Ability to apply principles, techniques, and procedures of goods and services.
  4. Knowledge of raw materials, quality control, costs, and other techniques for maximizing the effective management of goods and services.
  5. Ability to plan and execute the full range of administrative tasks in the operation of a large and complex department.
  6. Ability to provide effective leadership and supervise department staff.
  7. Ability to apply highly effective written and oral communication skills
  8. Ability to learn to apply regulations and requirements related to Biomedical Engineering process and procedures.
  9. Ability to plan, organize, develop and implement program goals, objectives, policies and procedures.
  10. Ability to organize work priorities and meet specific objectives under time restraints.
  11. Ability to organize and present technical information, detect issues and opportunities for improvement, and formulate regulations.
  12. Ability to apply knowledge of state and federal regulatory requirements.
  13. Knowledge of biomedical engineering management practices and procedures.
  14. Ability to plan and execute the full range of administrative tasks in the operation of a large and complex department.
  15. Ability to apply effective oral and written communication skills. Bilingual, English/Spanish preferred.

What University Medical Center Of El Paso employees say

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