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Contract Biomedical Machine Learning Jobs in Texas

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any ...

Varsity Tutors

Biomedical Engineering Tutor

Edinburg, TX · Remote

$18 - $40/hr

What We Look For In a Biomedical Engineering Tutor * Advanced Subject Mastery: Deep knowledge of ... for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado ...

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All JobsContract Biomedical Machine Learning JobsContract Biomedical Machine Learning Jobs in Texas

Contract Biomedical Machine Learning information

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What are the most commonly searched types of Biomedical Machine Learning jobs in Texas? The most popular types of Biomedical Machine Learning jobs in Texas are:
What are popular job titles related to Contract Biomedical Machine Learning jobs in Texas? For Contract Biomedical Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Contract Biomedical Machine Learning jobs in Texas look for? The top searched job categories for Contract Biomedical Machine Learning jobs in Texas are:
What cities in Texas are hiring for Contract Biomedical Machine Learning jobs? Cities in Texas with the most Contract Biomedical Machine Learning job openings:
Contract Biomedical Machine Learning jobs near you
Infographic showing various Contract Biomedical Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Operations Engineer

System One

Farmers Branch, TX • On-site

$66K - $90K/yr

Other

Posted 29 days ago

Job description

Job Title: Machine Learning Operations Engineer
Location: Dallas, Texas
Type: Contract To Hire
Visa : (Only W2, No Sponsorship)

Responsibilities

  • Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
  • Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.
  • Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.
  • Integrate with existing model serving frameworks to support testing, deployment, and rollback processes.
  • Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.
  • Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.
  • Build near real-time ML pipelines using Kafka and Spark Streaming.
  • Work with AWS and SageMaker MLOps ecosystem.
Requirements
  • 6+ years of experience in software engineering, data engineering, or MLOps roles.
  • Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.
  • Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.
  • Experience with CI/CD pipelines and best practices in ML environments.
  • Hands-on experience with monitoring tools for ML pipeline health and performance.
  • Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
  • Experience contributing to or building internal MLOps frameworks/platforms.
  • Familiarity with SLURM clusters or other distributed job schedulers.
  • Exposure to Kafka, Spark Streaming, or other real-time data processing technologies.
  • Understanding of ML lifecycle management, including versioning, deployment, and drift detection.

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