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Health Machine Learning Jobs in Texas (NOW HIRING)

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

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 ... A robust healthcare package that includes medical, dental & vision benefits, short-term and ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Our goal is to meet the highest employer standards by ensuring the health and safety of our ... Work with Subject Matter Experts to design appropriate machine learning model types and ...

Oxy

AI Machine Learning Engineer

Houston, TX

Our goal is to meet the highest employer standards by ensuring the health and safety of our ... Work with Subject Matter Expertsto design appropriate machine learning model types and ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Health & Wellness Benefits, including competitive health insurance offerings and generous paid ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Prior experience in domains like Manufacturing, finance, healthcare, or e-commerce is a plus.

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Prior experience in domains like Manufacturing, finance, healthcare, or e-commerce is a plus.

Roku

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Our comprehensive benefits include global access to mental health and financial wellness support ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large ... Comprehensive health, dental, and vision benefits package * 401(k) match (U.S.-based employees only ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX

$220K - $250K/yr

Introduction to the role & team At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to how we make that real for millions of people ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

Introduction to the role & team At Bumble, we're building a world where all relationships are healthy and equitable, and machine learning is central to how we make that real for millions of people ...

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Health Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do health machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for health machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

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

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.

How do Health Machine Learning professionals typically collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

What is Health Machine Learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.
What are popular job titles related to Health Machine Learning jobs in Texas? For Health Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Health Machine Learning jobs in Texas look for? The top searched job categories for Health Machine Learning jobs in Texas are:
Health Machine Learning jobs near you

Machine Learning Engineer

Q2 Software, Inc.

Austin, TX • On-site

Full-time

Medical

Posted 7 days ago

Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
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 capabilities and support business innovation.
Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct research and experimentation to advance machine learning capabilities
• Collaborate with cross-functional teams to integrate AI solutions into production environments
• Analyze large datasets to extract meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation
EXPERIENCE AND KNOWLEDGE
• Bachelor's degree in related field and 5-8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources
• Strong analytical, problem-solving, and collaboration skills
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements

Apply