ML Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's ML engineer hiring is concentrated in Nashville, Memphis, and Knoxville, with employers across healthcare technology, logistics, and financial services driving demand. Companies like HCA Healthcare, FedEx, and Oak Ridge National Laboratory have recruited ML talent requiring visa sponsorship. Vanderbilt University and the University of Tennessee also feed local pipelines.
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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
ML Engineer Job Roles in Tennessee
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Search ML Engineer Jobs in TennesseeML Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for ML engineers?
Healthcare and logistics companies account for a significant share of ML engineer sponsorship activity in Tennessee. HCA Healthcare and Change Healthcare in Nashville have sponsored ML roles, as has FedEx in Memphis for supply chain and operations modeling work. Oak Ridge National Laboratory near Knoxville sponsors researchers in applied machine learning. Smaller fintech and healthtech startups in the Nashville corridor also file H-1B petitions for ML positions.
Which visa types are most common for ML engineer roles in Tennessee?
The H-1B is the most common visa category for ML engineers in Tennessee, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also see O-1A petitions filed for demonstrated expertise. Some research-focused roles at Oak Ridge or university-affiliated labs may involve J-1 or F-1 OPT before transitioning to H-1B.
How to find ml engineer visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML engineer roles in Tennessee without sorting through positions that won't support international candidates. The platform surfaces openings at Tennessee employers across healthcare technology, logistics, and research sectors. Filtering by state and role on Migrate Mate saves significant time compared to manually screening general job postings for sponsorship signals.
Which cities in Tennessee have the most ML engineer sponsorship jobs?
Nashville concentrates the largest share of ML engineer sponsorship activity in Tennessee, driven by its healthcare IT sector and growing fintech presence. Memphis generates demand through logistics and supply chain analytics, particularly among large freight and distribution companies. Knoxville and the Oak Ridge corridor attract ML talent for federal research and energy sector applications. Chattanooga has a smaller but emerging tech scene with some sponsored ML positions.
Are there any Tennessee-specific considerations for ML engineers seeking visa sponsorship?
Employers filing H-1B petitions for ML engineers in Tennessee must meet Department of Labor prevailing wage requirements for the relevant metropolitan area, which differ across Nashville, Memphis, and Knoxville metro regions. Tennessee's research ecosystem, anchored by Oak Ridge National Laboratory and Vanderbilt, creates pathways through research appointments before employer-sponsored status. The state has no income tax on wages, which factors into total compensation discussions but does not affect the visa sponsorship process itself.
What is the prevailing wage for sponsored ml 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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