ML Engineer Jobs in Tennessee
ML Engineer jobs in Tennessee are active and growing, with demand concentrated in healthcare technology, logistics, defense systems, and financial services at levels from entry-level data associate through principal engineer. Nashville, Memphis, and Knoxville account for most of the openings, where employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory have established ML and data science teams. The most sought-after specialties in Tennessee are 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 12+ ML 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 12 ML Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
ML Engineer Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- St. Jude Children's Research Hospital4
- Starbucks3
- Conexess2
- AutoZone1
- Dollar General1
Top Industries Hiring
- Healthcare & Medical Services4
- Food & Beverage3
- Technology & Software2
- Retail1
- Automotive1
What Tennessee Employers Look For
The qualifications that appear most often in ML engineer jobs across Tennessee.
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production-grade machine learning models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
- Strong understanding of data engineering concepts including pipelines, feature stores, and data versioning
- Experience with MLOps practices including model monitoring, CI/CD for ML, and experiment tracking
ML Engineer Jobs in Tennessee: Frequently Asked Questions
How do you become a ml engineer in Tennessee?
There is no state-issued license required to work as a ml engineer in Tennessee. The standard path is a bachelor's degree in computer science, mathematics, or a related field, followed by hands-on experience with ML frameworks and cloud platforms. Many Tennessee employers, particularly in healthcare technology and defense contracting around Oak Ridge and Huntsville, look for candidates who can demonstrate production model deployments through a portfolio, GitHub repository, or prior internship experience.
Which companies hire ml engineers in Tennessee?
Employers hiring ml engineers in Tennessee right now include St. Jude Children's Research Hospital, Starbucks, and Conexess, based on current listings on Migrate Mate as of June 2026. Tennessee's concentration of healthcare systems, federal research institutions, and logistics companies means demand tends to be strongest in applied ML roles tied to clinical data, supply chain optimization, and document intelligence.
Which Tennessee cities have the most ml engineer jobs?
Memphis, Nashville, and Spring Hill have the most ml engineer openings in Tennessee. Nashville leads because of its large healthcare technology and financial services ecosystem, Memphis draws demand through logistics and supply chain analytics anchored by major freight and distribution employers, and Knoxville benefits from proximity to Oak Ridge National Laboratory and the University of Tennessee, which together attract research-oriented ML roles.
Are there remote ml engineer jobs in Tennessee?
Yes, and more than most fields. About 8% of ml engineer openings tied to Tennessee are remote or hybrid as of June 2026, reflecting how naturally the role lends itself to distributed work. Model development, experimentation, and pipeline engineering are the sub-functions most likely to be fully remote, while roles involving on-site data access at hospitals or federal facilities typically require at least a hybrid presence.
How can I get hired as a ml engineer in Tennessee with little or no experience?
The most realistic entry path is a junior data scientist or machine learning associate role, which Tennessee employers in healthcare technology and logistics often fill with recent graduates. HCA Healthcare and Oak Ridge National Laboratory both run research internship and new-graduate programs that feed into full-time ML positions. Building a portfolio of end-to-end projects using public datasets and completing a cloud certification such as AWS Certified Machine Learning Specialty gives candidates a meaningful edge in a competitive applicant pool.
Where can I find and apply to ml engineer jobs in Tennessee?
You can find and apply to ml engineer jobs in Tennessee on Migrate Mate, which lists current Tennessee openings updated regularly. Find the roles that fit your experience and specialization and apply directly through each listing.
See All 12 ML Engineer Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find ML Engineer Jobs