Machine Learning Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's machine learning engineer job market is anchored by healthcare technology in Nashville, FedEx and logistics-adjacent AI teams in Memphis, and a growing research corridor tied to Oak Ridge National Laboratory and Vanderbilt University. Employers across these hubs actively sponsor H-1B and other work visas for qualified ML engineers.
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Get Access To All JobsOur 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
Machine Learning Engineer Job Roles in Tennessee
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Search Machine Learning Engineer Jobs in TennesseeMachine Learning Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Tennessee?
Several large Tennessee employers have a documented history of H-1B sponsorship for machine learning and AI roles. Vanderbilt University Medical Center, Change Healthcare, Nissan North America's technology division, and FedEx are among those that have filed Labor Condition Applications for ML-adjacent positions. Oak Ridge National Laboratory also hires ML engineers, though as a federal contractor its sponsorship pathways differ from private employers.
Which visa types are most common for machine learning engineer roles in Tennessee?
The H-1B is the most common visa for machine learning engineers in Tennessee, as ML roles routinely qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with a master's degree may benefit from the advanced degree exemption during the H-1B lottery. O-1A visas are an alternative for engineers with demonstrated extraordinary ability, such as notable research publications or patents.
Which cities in Tennessee have the most machine learning engineer sponsorship jobs?
Nashville leads the state for ML engineer sponsorship activity, driven by its concentration of healthcare IT companies and startups building AI-powered clinical tools. Memphis has a smaller but active market tied to supply chain and logistics technology at companies like FedEx. Knoxville and Oak Ridge form a research-oriented corridor, with opportunities linked to national laboratory work and University of Tennessee affiliated projects.
How to find machine learning engineer visa sponsorship jobs in Tennessee?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles by visa sponsorship availability, including positions in Tennessee. Rather than sorting through general job postings manually, you can use Migrate Mate to identify Tennessee employers currently hiring ML engineers who are willing to sponsor. This is particularly useful for narrowing focus to healthcare tech hubs in Nashville or research-linked roles near Knoxville and Oak Ridge.
Are there state-specific considerations for machine learning engineers seeking visa sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects prevailing wage calculations indirectly through cost-of-living benchmarks used in Labor Condition Applications. The Department of Labor sets prevailing wage levels by metropolitan area, so Nashville, Memphis, and Knoxville each have distinct wage tiers. ML engineers should also note that Tennessee's strong university pipeline, including Vanderbilt and UT Knoxville, means employers in the state are generally familiar with international candidate hiring processes.
What is the prevailing wage for sponsored machine learning engineer jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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