Machine Learning Scientist Jobs in Tennessee
Machine Learning Scientist jobs in Tennessee are consistently active, with demand concentrated in healthcare AI, defense and aerospace systems, and supply chain analytics, covering roles from entry-level research positions through senior principal scientists. Nashville, Memphis, and the Knoxville corridor are the primary hiring hubs, where employers like HCA Healthcare, FedEx, and Oak Ridge National Laboratory maintain substantial machine learning teams. The most in-demand specialties in Tennessee are clinical NLP, computer vision for logistics, and predictive modeling for large-scale operations. Find a role that fits below and apply directly.
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Showing 5 of 62+ Machine Learning Scientist jobs
Our history: From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nationwide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are: Conexess is a full-service staffing firm offering contract, contract-to-hire, and direct placements. We have a wide range of recruiting capabilities, from help desk technicians to CIOs. We are also capable of offering project-based work.
ROLE AND RESPONSIBILITIES
Our client is looking for a Senior Data Scientist / Machine Learning Engineer to join their rapidly growing team that has deep optical transport-network domain experience. This role applies advanced analytics and ML to legacy and modern telecom transport networks to proactively identify outages, capacity risk, and migration issues. We are looking for someone who has worked directly with real transport data in multi-vendor environments.
- Apply data science and ML to SONET/TDM and DWDM/OTN transport networks
- Ingest, normalize, and analyze large-scale network inventory, topology, performance, and alarm data
- Build models and analytics to:
- Predict network outages
- Identify capacity exhaustion and congestion risk
- Support legacy network consolidation and migration planning
- Translate internal and customer requirements into production-ready analytics
- Work directly with software engineering and product teams to deploy solutions
- Engage with customers as a technical expert when needed
BASIC QUALIFICATIONS
- 5+ years in telecom, transport networking, or network analytics
- Strong background with graph databases (e.g., Neo4j or equivalent)
- Strong hands-on knowledge of:
- Legacy transport: SONET, SDH, TDM hierarchies
- Modern transport: DWDM, OTN, optical channel modeling
- Proven experience organizing and analyzing complex, multi-vendor network data
- Strong Python and SQL skills
- Experience delivering production analytics or ML solutions
- Ability to operate across engineering, product, and customer teams
- Background with OSS, network inventory systems, or transport planning tools
Our history: From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nationwide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are: Conexess is a full-service staffing firm offering contract, contract-to-hire, and direct placements. We have a wide range of recruiting capabilities, from help desk technicians to CIOs. We are also capable of offering project-based work.
ROLE AND RESPONSIBILITIES
Our client is looking for a Senior Data Scientist / Machine Learning Engineer to join their rapidly growing team that has deep optical transport-network domain experience. This role applies advanced analytics and ML to legacy and modern telecom transport networks to proactively identify outages, capacity risk, and migration issues. We are looking for someone who has worked directly with real transport data in multi-vendor environments.
- Apply data science and ML to SONET/TDM and DWDM/OTN transport networks
- Ingest, normalize, and analyze large-scale network inventory, topology, performance, and alarm data
- Build models and analytics to:
- Predict network outages
- Identify capacity exhaustion and congestion risk
- Support legacy network consolidation and migration planning
- Translate internal and customer requirements into production-ready analytics
- Work directly with software engineering and product teams to deploy solutions
- Engage with customers as a technical expert when needed
BASIC QUALIFICATIONS
- 5+ years in telecom, transport networking, or network analytics
- Strong background with graph databases (e.g., Neo4j or equivalent)
- Strong hands-on knowledge of:
- Legacy transport: SONET, SDH, TDM hierarchies
- Modern transport: DWDM, OTN, optical channel modeling
- Proven experience organizing and analyzing complex, multi-vendor network data
- Strong Python and SQL skills
- Experience delivering production analytics or ML solutions
- Ability to operate across engineering, product, and customer teams
- Background with OSS, network inventory systems, or transport planning tools
See All 62 Machine Learning Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
Find JobsMachine Learning Scientist Jobs by City in Tennessee
Where Tennessee roles are concentrated, by current openings.
Machine Learning Scientist Job Market in Tennessee
A snapshot from current Tennessee openings, updated as new roles post.
Who's Hiring
- HCA Healthcare8
- Amazon6
- Schneider Electric5
- Capgemini4
- Vanderbilt University4
Top Industries Hiring
- Technology & Software13
- Human Resources8
- Healthcare & Medical Services8
- Manufacturing6
- Investment & Asset Management6
What Tennessee Employers Look For
The qualifications that appear most often in machine learning scientist jobs across Tennessee.
- Master's or PhD in computer science, statistics, or a quantitative field required
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying models in production environments
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud
- Strong background in statistics, probability, and applied mathematics
- Ability to communicate model results and trade-offs to non-technical stakeholders
Machine Learning Scientist Jobs in Tennessee: Frequently Asked Questions
How do you become a machine learning scientist in Tennessee?
Machine learning scientist roles in Tennessee do not require a state-issued license. Most employers expect at least a master's degree in computer science, statistics, or a related quantitative field, though a PhD is preferred for research-focused positions. Candidates who build a portfolio demonstrating deployed models, contribute to open-source projects, or complete graduate work at institutions like Vanderbilt University, the University of Tennessee, or Tennessee State University are consistently competitive for Tennessee openings.
How much do machine learning scientists make in Tennessee?
Machine learning scientists in Tennessee earn a median of about $100,330 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,200 for the lowest 10% to over $156,160 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning scientists in Tennessee?
Employers hiring machine learning scientists in Tennessee right now include HCA Healthcare, Amazon, and Schneider Electric, based on current listings on Migrate Mate as of June 2026. Tennessee's concentration of large healthcare systems, defense contractors, and logistics companies creates steady demand for applied machine learning talent across multiple industries.
Which Tennessee cities have the most machine learning scientist jobs?
Nashville, Memphis, and Brentwood have the most machine learning scientist openings in Tennessee. Nashville dominates hiring due to its large healthcare technology ecosystem anchored by HCA Healthcare and a growing startup sector, while Memphis benefits from FedEx's global logistics and analytics operations, and Knoxville draws demand from Oak Ridge National Laboratory and the University of Tennessee research community.
Are there remote machine learning scientist jobs in Tennessee?
Yes, and more than most fields. About 21% of machine learning scientist openings tied to Tennessee are remote or hybrid as of June 2026, reflecting the largely desk-based and computational nature of the work. Model development, experimentation, and data pipeline work transfer well to remote settings, though roles involving proprietary government data or on-site clinical systems at Tennessee health networks tend to require an in-person or hybrid arrangement.
How can I get hired as a machine learning scientist in Tennessee with little or no experience?
The most realistic entry path is through a research assistant or junior data scientist role while completing a graduate program at Vanderbilt University, the University of Tennessee, or Tennessee Tech. Oak Ridge National Laboratory runs competitive student internship and postdoctoral research programs that often convert to full-time machine learning positions. Candidates transitioning from adjacent roles in data engineering or software development can strengthen their candidacy with a demonstrable project portfolio and coursework in statistical modeling.
Where can I find and apply to machine learning scientist jobs in Tennessee?
You can find and apply to machine learning scientist jobs in Tennessee on Migrate Mate, which lists current Tennessee openings across healthcare, defense, logistics, and tech employers. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 62 Machine Learning Scientist Jobs in Tennessee
Find roles in Tennessee that match your experience and apply in just a few clicks.
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