Machine Learning Jobs in Tennessee
Machine Learning jobs in Tennessee are in strong and growing demand, concentrated in healthcare technology, logistics optimization, financial services analytics, and defense contracting, with opportunities from entry-level ML engineer through senior research scientist. Nashville, Memphis, and the Knoxville-Oak Ridge corridor are the state's primary hiring centers, where employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory maintain ongoing machine learning teams. The most sought-after specialties in Tennessee are natural language processing, computer vision, and applied ML for healthcare data pipelines. Find a role that fits below and apply directly.
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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 Machine Learning Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Machine Learning 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 machine learning jobs across Tennessee.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying predictive models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML workloads
- Strong understanding of data preprocessing, feature engineering, and model evaluation methods
- Ability to communicate model results and technical findings clearly to non-technical stakeholders
Machine Learning Jobs in Tennessee: Frequently Asked Questions
How do you become a machine learning engineer in Tennessee?
Machine learning roles in Tennessee require no state-issued license, so the path runs through education and demonstrated technical skill. Most Tennessee employers expect at minimum a bachelor's degree in computer science, mathematics, or a related field, though many research-oriented positions at institutions like Vanderbilt University or Oak Ridge National Laboratory prefer a master's or doctoral degree. Building a portfolio of deployed models and contributing to open-source projects strengthens a candidacy significantly.
Which companies hire machine learning engineers in Tennessee?
Employers hiring machine learnings 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 large healthcare systems, logistics companies, and federally funded research institutions makes it one of the more consistent states for applied ML hiring outside the coastal tech hubs.
Which Tennessee cities have the most machine learning jobs?
Memphis, Nashville, and Spring Hill account for the largest share of machine learning openings in Tennessee. Nashville leads because of its dense concentration of healthcare technology companies and financial services firms, Memphis adds volume through logistics and supply chain analytics driven by FedEx and related freight companies, and the Knoxville-Oak Ridge area draws heavily from federally funded research at Oak Ridge National Laboratory and the University of Tennessee.
Are there remote machine learning jobs in Tennessee?
Yes, and more than most fields. About 8% of machine learning openings tied to Tennessee are remote or hybrid as of June 2026, reflecting how well the work translates to distributed teams. Roles focused on model development, research, and data pipeline engineering are the most likely to be fully remote, while positions that require close collaboration with on-site clinical or operational teams tend to be hybrid.
How can I get hired as a machine learning engineer in Tennessee with little or no experience?
The most realistic entry path is through an internship or rotational data science program at one of Tennessee's large employers. HCA Healthcare and FedEx run structured analytics and data science programs that bring in candidates without full-time ML experience. Entry roles with titles like data analyst, ML operations associate, or junior data engineer are common stepping stones. A strong GitHub portfolio, a completed Kaggle competition, or a graduate capstone project involving real Tennessee-industry data gives a candidate a clear edge when competing for these positions.
Where can I find and apply to machine learning jobs in Tennessee?
You can find and apply to machine learning jobs in Tennessee on Migrate Mate, which lists current Tennessee openings updated regularly. Find the roles that fit your experience and target industry, then apply directly to each one. No signup is required to search and review listings.
See All 12 Machine Learning Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
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