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Machine Learning Developer Jobs in Tennessee (NOW HIRING)

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... data scientists, software developers) tointegrate ML models into new or existing systems ...

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... data scientists, software developers) tointegrate ML models into new or existing systems ...

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... data scientists, software developers) tointegrate ML models into new or existing systems ...

Oracle

Principal Machine Learning Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Automates machine learning workflows. Creates infrastructure and frameworks to monitor the ... data scientists, software developers) tointegrate ML models into new or existing systems ...

Varsity Tutors

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Knoxville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Developer JobsMachine Learning Developer Jobs in Tennessee

Machine Learning Developer information

See Tennessee salary details

$16

$34

$47

How much do machine learning developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning developer in Tennessee is $34.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $47.12 per hour, depending on experience, location, and employer.

What does a machine learning developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

What are the key skills and qualifications needed to thrive as a machine learning developer?

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

What are some common challenges faced by machine learning developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

Is machine learning a high paying job?

Machine learning developers typically earn high salaries due to the specialized skills required, such as programming in Python or R and understanding algorithms. Salaries vary based on experience, location, and industry, but overall, the role is considered well-compensated within the tech field.

What are popular job titles related to Machine Learning Developer jobs in Tennessee?

For Machine Learning Developer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Machine Learning Developer jobs in Tennessee look for?

The top searched job categories for Machine Learning Developer jobs in Tennessee are:

Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $72,528 per year, or $34.9 per hour.

Staff Software Engineer / Machine Learning Engineer - Radiology

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 18 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals

Job description

We are seeking a highly motivated and experienced Machine Learning Engineer to develop advanced machine learning (ML), deep learning (DL), and foundational AI models for medical imaging. This role focuses on building robust algorithms for segmentation, quantification, and detection across CT, MRI, and X-ray.
This position sits at the center of a well-resourced, data-rich research environment with established infrastructure for multi-institutional data aggregation, curation, and large-scale annotation. St. Jude Children's Hospital has incredible high-performance computing resources. The lab leverages curated datasets from diverse sources, dedicated annotation teams, and external engineering support, enabling this role to focus on high-impact model development, validation, and clinical translation.
Many projects are designed with a path toward regulatory clearance via FDA's 510(k) or De Novo pathways, and the successful candidate will work closely with regulatory and quality experts to support reproducible, well-documented, and clinically deployable AI solutions. This role offers a unique combination of academic productivity (authorship opportunities) and real-world impact through translation into clinical practice.
Machine Learning Engineer
Key Responsibilities
  • Develop, train, and validate state-of-the-art ML/DL models for segmentation, quantification, and detection across CT, MRI, and X-ray

  • Design and implement 2D and 3D model architectures (CNNs, transformer-based, and foundational models)

  • Build scalable pipelines for data preprocessing, model training, evaluation, and deployment

  • Develop quantitative imaging methods (e.g., volumetrics, density measurements, biomarker extraction)

  • Leverage curated, multi-institutional datasets to ensure model generalizability and robustness

  • Collaborate with radiologists and engineering teams to define clinically meaningful outputs

  • Produce regulatory-grade documentation for datasets, model development, validation, and performance

  • Ensure reproducibility and traceability of experiments (data, model, and code versioning)

  • Work collaboratively with regulatory and quality experts to support FDA 510(k) and De Novo submissions, including providing technical documentation and validation evidence

  • Contribute to software quality and security practices, including supporting activities such as vulnerability assessment and penetration testing in collaboration with cybersecurity and regulatory teams

  • Utilize modern AI-assisted development tools (e.g., LLM-based coding agents) to accelerate development and improve code quality

  • Participate in team-based development practices (code reviews, Git, testing frameworks)

  • Support manuscripts, grants, and technical reporting

Minimum Education and/or Training:
  • Bachelor's degree in computer science, data science, information science, business, or related field.
  • Master's degree preferred.

Minimum Experience:
  • Minimum Requirement: Bachelor's degree with 5+ years of experience required.
  • Experience Exception: Master's degree with 3+ years of experience.
  • Experience with programming languages, databases, and software development lifecycle
  • Experience with the position-specific technical stack preferred
  • Experience with the position-specific scientific domain preferred
  • Proven performance in earlier role/comparable role

Preferred Qualifications
  • 3+ years of experience developing ML/DL models for image analysis

  • Demonstrated experience with segmentation, detection, and/or quantitative imaging algorithms (2D and/or 3D)

  • Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience with modern architectures (U-Net variants, detection frameworks, transformers, or foundational models)

  • Familiarity with DICOM and medical imaging workflows

  • Strong understanding of evaluation metrics (Dice, IoU, ROC/AUC, sensitivity/specificity)

  • Experience with version control and collaborative development (e.g., Git)

  • Demonstrated ability to produce clear, structured technical documentation

  • Experience using modern LLM-based coding assistants (e.g., Claude, Codex, or similar) to enhance development workflows

  • (Strongly preferred) Experience developing and documenting AI solutions for clinical translation or regulatory submission (e.g., FDA 510(k))

  • Familiarity with Good Machine Learning Practice (GMLP)

  • Experience collaborating with regulatory, quality, or cybersecurity teams

  • Exposure to software security principles (e.g., secure coding, vulnerability assessment, penetration testing concepts)

  • Experience with large, multi-institutional datasets

  • Familiarity with radiology workflows and quantitative imaging biomarkers

  • Experience with cloud or high-performance computing environments

  • Experience deploying models into research or clinical environments

Academic and Career Development Opportunities
  • Significant opportunities for authorship on high-impact manuscripts

  • Active participation in multi-institutional research collaborations

  • Opportunities to contribute to grant proposals and funded research initiatives

  • Exposure to translational AI development, including projects targeting FDA 510(k) clearance

  • Ability to build a strong academic portfolio in parallel with real-world clinical impact

Key Attributes
  • Highly collaborative and team-oriented

  • Detail-oriented with strong commitment to documentation, reproducibility, and auditability

  • Able to operate effectively in a translational, regulatory-aware environment

  • Strong interest in delivering clinically impactful AI solutions

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Staff Software Engineer / Machine Learning Engineer - Radiology.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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