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Health Machine Learning Jobs in Texas (NOW HIRING)

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

Paid time off to recharge and maintain a healthy work-life balance * Flexible work options ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

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

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

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 ...

Machine Learning Engineer

Irving, TX ยท On-site +1

$96K - $144K/yr

Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data ...

Machine Learning Engineer

Irving, TX ยท On-site +1

$96K - $144K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Duties include: apply data modeling, machine learning, predictive modeling, and statistical ...

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

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

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/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.

Senior Machine Learning Engineer

Plano, TX ยท On-site

$100K - $137K/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.

Senior Machine Learning Engineer

Austin, TX ยท On-site

$121K - $160K/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 ...

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Duties include: apply data modeling, machine learning, predictive modeling, and statistical ...

Senior Machine Learning Engineer

Austin, TX ยท 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 ...

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 * Equity options * $200 ...

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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Showing results 1-20

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 Jul 9, 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.

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 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.
Infographic showing various Health Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Confie

Addison, TX โ€ข On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level 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 multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008