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Contract Machine Learning Engineer Jobs in Memphis, TN

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... contracts. This person will work closely with Data Science, ML Engineering, and Software ... Maintain Feature Store pipelines that produce machine learning-ready feature sets for model ...

Senior Data Engineer

Memphis, TN

$95K - $129K/yr

... contracts. This person will work closely with Data Science, ML Engineering, and Software ... Maintain Feature Store pipelines that produce machine learning-ready feature sets for model ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

... contracts. This person will work closely with Data Science, ML Engineering, and Software ... Maintain Feature Store pipelines that produce machine learning-ready feature sets for model ...

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... produce machine learning-ready feature sets for model training and inference. • Enforce data ... client contracts. • Document data lineage, transformations, and data contracts to support ...

Data Science Tutor

Memphis, TN · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Python Tutor

Memphis, TN · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Hydro Mechanical Engineer

Memphis, TN · On-site

$71K - $150K/yr

  • Medical

  • Retirement

  • PTO

Operate large, complex machinery and test facilities such as the Large Cavitation Channel, while ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Showing results 21-40

Contract Machine Learning Engineer information

See Memphis, TN salary details

$30.6K

$125.1K

$188K

How much do contract machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract machine learning engineer in Memphis, TN is $125,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $150,600.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Memphis, TN?

The most popular types of Machine Learning Engineer jobs in Memphis, TN are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Memphis, TN?

For Contract Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Engineer jobs in Memphis, TN look for?

The top searched job categories for Contract Machine Learning Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Contract Machine Learning Engineer jobs?

Cities near Memphis, TN with the most Contract Machine Learning Engineer job openings:

Infographic showing various Contract Machine Learning Engineer job openings in Memphis, TN as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Contract, and 3% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $125,292 per year, or $60.2 per hour.

Postdoctoral Scholar-Pediatrics CBMI

The University of Tennessee

Memphis, TN • On-site

Full-time

Posted 21 days ago


Job description


THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.
The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.
Responsibilities
  1. Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.
  2. Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.
  3. Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.
  4. Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.
  5. Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.
  6. Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation
  7. Mentors graduate students and junior researchers throughout the project lifecycle.
  8. Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.
  9. Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.
  10. Performs other duties as assigned.

Qualifications
Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.)
Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.
WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel.