Machine Learning Engineer Jobs in Tennessee
Machine Learning Engineer jobs in Tennessee are increasingly active, with demand concentrated in healthcare AI, logistics optimization, and financial technology across a seniority range from entry-level data scientists to senior ML architects. Nashville, Memphis, and Knoxville lead hiring, anchored by established employers such as HCA Healthcare, FedEx, and Oak Ridge National Laboratory. The most sought-after specialties include natural language processing, computer vision, and MLOps pipeline development. Find a role that fits below and apply directly.
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Showing 5 of 169+ Machine Learning Engineer jobs
COMPANY OVERVIEW:
GENERAL SUMMARY:
This role exists to build, scale, and operationalize Dollar General’s enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML strategy, platforms, and teams required to move from isolated models to production-grade, governed, reusable ML systems. This leader ensures ML investments are aligned to enterprise priorities, value realization, and responsible AI standards.
JOB DETAILS:
DUTIES AND RESPONSIBILITIES:
- Lead enterprise machine learning strategy spanning applied ML, MLOps, experimentation, and platform capabilities aligned to business priorities.
- Build, mentor, and scale high-performing ML engineering and data science leaders across centralized and embedded delivery models.
- Own end-to-end lifecycle of ML systems from problem framing and modeling through deployment, monitoring, and continuous optimization.
- Partner with product, IT, security, legal, and business leaders to ensure governed, responsible, and scalable ML adoption.
- Establish standards for model evaluation, experimentation, monitoring, and value measurement tied to financial and operational impact.
QUALIFICATIONS:
KNOWLEDGE, SKILLS AND ABILITIES:
- Deep expertise in machine learning systems, model development, and production ML architectures.
- Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML.
- Proven ability to translate business problems into scalable ML solutions with measurable impact.
- Experience leading senior technical managers and principal-level engineers.
- Strong judgment around responsible AI, model risk, data privacy, and governance.
- Ability to influence executive stakeholders and align cross-functional teams.
- Experience operating ML platforms in cloud-native environments.
- Excellent communication skills bridging technical and non-technical audiences.
WORK EXPERIENCE AND/OR EDUCATION:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred.
- 10+ years of experience in machine learning, data science, or applied AI roles.
- 5+ years leading ML engineering or data science teams at scale.
- Demonstrated experience deploying and operating production ML systems.
Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred.
COMPANY OVERVIEW:
GENERAL SUMMARY:
This role exists to build, scale, and operationalize Dollar General’s enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML strategy, platforms, and teams required to move from isolated models to production-grade, governed, reusable ML systems. This leader ensures ML investments are aligned to enterprise priorities, value realization, and responsible AI standards.
JOB DETAILS:
DUTIES AND RESPONSIBILITIES:
- Lead enterprise machine learning strategy spanning applied ML, MLOps, experimentation, and platform capabilities aligned to business priorities.
- Build, mentor, and scale high-performing ML engineering and data science leaders across centralized and embedded delivery models.
- Own end-to-end lifecycle of ML systems from problem framing and modeling through deployment, monitoring, and continuous optimization.
- Partner with product, IT, security, legal, and business leaders to ensure governed, responsible, and scalable ML adoption.
- Establish standards for model evaluation, experimentation, monitoring, and value measurement tied to financial and operational impact.
QUALIFICATIONS:
KNOWLEDGE, SKILLS AND ABILITIES:
- Deep expertise in machine learning systems, model development, and production ML architectures.
- Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML.
- Proven ability to translate business problems into scalable ML solutions with measurable impact.
- Experience leading senior technical managers and principal-level engineers.
- Strong judgment around responsible AI, model risk, data privacy, and governance.
- Ability to influence executive stakeholders and align cross-functional teams.
- Experience operating ML platforms in cloud-native environments.
- Excellent communication skills bridging technical and non-technical audiences.
WORK EXPERIENCE AND/OR EDUCATION:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
- Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred.
- 10+ years of experience in machine learning, data science, or applied AI roles.
- 5+ years leading ML engineering or data science teams at scale.
- Demonstrated experience deploying and operating production ML systems.
Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred.
See All 169+ Machine Learning Engineer Jobs in Tennessee
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Find JobsMachine Learning Engineer Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Machine Learning Engineer Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- Oracle32
- Speechify9
- Humana7
- St. Jude Children's Research Hospital7
- Starbucks6
Top Industries Hiring
- Technology & Software64
- Consulting & Professional Services15
- Manufacturing13
- Healthcare & Medical Services10
- Food & Beverage6
What Tennessee Employers Look For
The qualifications that appear most often in machine learning engineer jobs across Tennessee.
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying production-grade machine learning models
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong grasp of statistical modeling, data preprocessing, and feature engineering techniques
- Ability to communicate model results and technical findings clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Tennessee: Frequently Asked Questions
How do you become a machine learning engineer in Tennessee?
Machine learning engineering in Tennessee requires no state-issued license, so the path runs through education and demonstrated technical skill. Most Tennessee employers expect at least a bachelor's degree in computer science, mathematics, or statistics, with a master's degree preferred for research-heavy roles at institutions like Oak Ridge National Laboratory. Building a portfolio of deployed models, contributing to open-source projects, and completing recognized certifications in cloud ML platforms strengthens candidacy considerably for Tennessee listings.
How much do machine learning engineers make in Tennessee?
Machine learning engineers in Tennessee earn a median of about $122,430 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,280 for the lowest 10% to over $166,380 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Tennessee?
Employers hiring machine learning engineers in Tennessee right now include Oracle, Speechify, and Humana, based on current listings on Migrate Mate as of June 2026. Tennessee's combination of major healthcare systems, federal research facilities, and a growing fintech sector in Nashville creates consistent demand for applied ML talent across multiple industries.
Which Tennessee cities have the most machine learning engineer jobs?
Nashville, Memphis, and Chattanooga account for the most machine learning engineer openings in Tennessee. Nashville drives the largest share through its concentration of healthcare technology companies and corporate headquarters, while Knoxville benefits from Oak Ridge National Laboratory and University of Tennessee research partnerships that generate applied ML roles, and Memphis adds demand through its logistics, supply chain, and financial services employers.
Are there remote machine learning engineer jobs in Tennessee?
Yes, and more than most fields, since machine learning engineering is a desk-based, software-driven discipline that translates well to remote work. About 21% of machine learning engineer openings tied to Tennessee are remote or hybrid as of June 2026, reflecting broader tech industry norms. Model development, experimentation, and code review are the tasks most commonly handled fully remotely, while on-site presence is more likely for roles tied to proprietary healthcare data or government research environments.
How can I get hired as a machine learning engineer in Tennessee with little or no experience?
The most realistic entry path is through a junior data analyst or associate data scientist role, then transitioning into ML engineering once you have production exposure. HCA Healthcare and FedEx both run structured early-career data programs that place new graduates into teams where ML work is part of the daily workflow. Tennessee's research universities, particularly Vanderbilt and the University of Tennessee, maintain employer partnerships that connect graduating students to first ML roles. A GitHub portfolio demonstrating end-to-end model deployment carries more weight than certifications alone for candidates with limited professional experience.
Where can I find and apply to machine learning engineer jobs in Tennessee?
You can find and apply to machine learning engineer jobs in Tennessee on Migrate Mate, which lists current Tennessee openings updated regularly. Search the available roles, find the ones that match your background and preferences, and apply directly to the employers posting them.
See All 169+ Machine Learning Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
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