1

Contract Biomedical Machine Learning Jobs in Dallas, TX

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 ...

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 ...

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 ...

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 ...

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 ...

Biomedical Technician

Garland, TX · On-site

$24.50 - $32.25/hr

You will also train and educate colleagues on operational maintenance of our dialysis machines to ... contract. • Purchases and retain an inventory of service parts. • Performs, evaluates, and ...

Showing results 21-40

Contract Biomedical Machine Learning information

See Dallas, TX salary details

$15

$28

$38

How much do contract biomedical machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for contract biomedical machine learning in Dallas, TX is $28.22, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.88 per hour, depending on experience, location, and employer.

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 popular job titles related to Contract Biomedical Machine Learning jobs in Dallas, TX? For Contract Biomedical Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Contract Biomedical Machine Learning jobs in Dallas, TX look for? The top searched job categories for Contract Biomedical Machine Learning jobs in Dallas, TX are:
Infographic showing various Contract Biomedical Machine Learning job openings in Dallas, TX 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, with an average salary of $58,694 per year, or $28.2 per hour.

Machine Learning Operations Engineer

System One

Dallas, TX • On-site

$60 - $120K/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Job description

Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite – onsite Hours: 40.0 Security Clearance: None specified

Overview Leave placeholder text here for recruiter to input

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.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #404-IT Pittsburgh