ML Software Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's ML software engineer market is anchored by healthcare technology employers in Nashville, financial services firms in Memphis, and a growing tech presence in Knoxville tied to Oak Ridge National Laboratory. Companies like HCA Healthcare, FedEx, and Vanderbilt University Medical Center have sponsored ML engineering roles, making Tennessee a meaningful destination for international candidates.
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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 Software Engineer Job Roles in Tennessee
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Search ML Software Engineer Jobs in TennesseeML Software Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for ML software engineers?
Healthcare technology companies lead sponsorship activity in Tennessee, with Nashville-based employers like HCA Healthcare and Change Healthcare filing H-1B petitions for ML engineering roles. Logistics and financial services firms in Memphis, including FedEx and AutoZone, have also sponsored ML positions. Oak Ridge National Laboratory near Knoxville offers another pathway, particularly for candidates with research-oriented machine learning backgrounds.
Which visa types are most common for ML software engineer roles in Tennessee?
The H-1B is the most common visa category for ML software engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with exceptional research records may also encounter O-1A petitions. International students completing degrees at Tennessee universities often bridge through OPT or STEM OPT before an employer files an H-1B petition.
Which cities in Tennessee have the most ML software engineer sponsorship jobs?
Nashville concentrates the largest share of ML sponsorship activity in Tennessee, driven by its healthcare technology sector and growing startup ecosystem. Knoxville is a secondary hub, where proximity to Oak Ridge National Laboratory and the University of Tennessee creates demand for research-oriented ML engineers. Memphis adds additional opportunities through its logistics and supply chain technology employers, though at lower volume than Nashville.
How to find ml software engineer visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to browse ML software engineer openings in Tennessee without sorting through roles that exclude international candidates. The platform surfaces positions from healthcare technology, logistics, and research-sector employers across Nashville, Knoxville, and Memphis, giving you a targeted view of where active sponsorship opportunities exist for this role in the state.
Are there any state-specific considerations for ML software engineers seeking sponsorship in Tennessee?
Tennessee's ML engineering market is shaped heavily by healthcare data applications, so candidates with experience in predictive modeling, clinical NLP, or medical imaging often find stronger employer interest in the Nashville area. Oak Ridge National Laboratory also sponsors researchers under unique federal contractor arrangements. Tennessee has no state income tax, which is worth factoring into compensation discussions, though prevailing wage obligations under H-1B rules still apply at the federal level.
What is the prevailing wage for sponsored ml software 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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