AI ML Engineer Visa Sponsorship Jobs in Tennessee
Tennessee's AI/ML engineering roles are concentrated in Nashville, Memphis, and Knoxville, with employers spanning healthcare technology firms like HCA Healthcare and Change Healthcare, logistics companies, and Oak Ridge National Laboratory's growing research programs. Vanderbilt University and the University of Tennessee also generate strong local pipelines that attract international talent seeking visa sponsorship.
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INTRODUCTION
When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
All the benefits listed above are subject to the terms of their individual Plans.
And that’s just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
GENERAL SUMMARY:
Unum Group seeks Directors, AI/ML Transformation in Chattanooga, TN.
Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref #18817) for consideration.
ROLE AND RESPONSIBILITIES
- Lead AI/ML Strategy and Roadmap – Define and oversee the strategic direction for AI/ML transformation initiatives, aligning model development and deployment with overall business goals.
- Design and Develop Advanced Models – Architect, train, and validate machine learning and generative AI models (including supervised, unsupervised, and reinforcement learning approaches) to solve complex business problems.
- Implement and Operationalize AI Solutions – Translate model outputs into production-ready digital products, ensuring scalability, robustness, and integration with existing enterprise systems.
- Model Governance and Risk Management – Establish and enforce responsible AI practices including explainability, fairness, bias detection, security, and regulatory compliance throughout the AI lifecycle.
- Cross-Functional Collaboration – Partner with product managers, engineers, data scientists, and business leaders to identify high-value use cases and drive adoption of AI/ML capabilities.
- Performance Monitoring and Continuous Improvement – Implement monitoring frameworks to track accuracy, drift, and performance of deployed models, ensuring timely retraining and updates.
- Team Leadership and Talent Development – Mentor and guide data science and engineering teams, fostering a culture of innovation, experimentation, and best practices in AI/ML.
- Stakeholder Communication – Present technical concepts and business impact of AI/ML initiatives to executive leadership, external partners, and non-technical audiences in a clear and compelling way.
- Innovation and Research – Stay current on emerging AI/ML methodologies, tools, and industry trends; pilot new technologies such as large language models and generative AI to maintain a competitive edge.
BASIC QUALIFICATIONS
Requires a Bachelor’s degree in AI/ML, Data Science or related analytical field plus 5 years of related experience. Alternatively, employer will accept a Master’s degree in AI/ML, Data Science or related analytical field plus 3 years of related experience. Requires 5 years of experience with a Bachelor’s degree, or 3 years with a Master’s degree, with the following:
- Statistics, calculus, and algorithm-based mathematics; building generalized linear models, and processing/analyzing time series data
- Coding abilities with an emphasis on Python and understanding many ML/AI based Python libraries, including Scikit-Learn, NumPy, pandas, and OpenCV
- Deep-learning (neural network) model building, training, and deployment, with PyTorch or Tensorflow
- Other forms of supervised learning, unsupervised learning, and optimization algorithms; experience with building gradient boosted tree models (LightGBM or XGBoost)
- DevOps and the ownership of a model’s lifecycle, including experimentation, deployment, monitoring of feature drift and inference performance, model evaluation, and model iteration
- Feature engineering for model performance improvement and data leakage prevention
- Working with healthcare-related claims data
- Version control of code, with a git-based code version control and repository system
Requires 4 years of experience with a Bachelor’s degree, or 2 years of experience with a Master’s degree, with the following:
- AI/ML cloud platforms (Amazon Web Services, Google Cloud Platform, or Microsoft Azure) and leveraging one or more of these platforms to deploy AI solutions
- Optical Character Recognition (OCR) in Python; experience with document processing, handwriting recognition, and document classification
- Querying relational databases (SQL) and non-relational databases (MongoDB) from a Python environment
Requires 2 years of experience with a Bachelor’s degree, or any amount of experience with a Master’s degree with the following:
- Generative AI/large language model applications; must be able to run off-the-shelf open-source LLMs and call commercial LLM APIs in a Python environment
- Fine-tuning LLMs/VLMs using PEFT (LoRA/QLoRA), plus quantization (4/8-bit, AWQ/GPTQ) for efficient, scalable inference
- Experience with data prep, evaluation, and deployment (Hugging Face or vLLM)
LOCATION
Chattanooga, TN
WORK ARRANGEMENT
100% telecommuting permitted. 25% domestic travel to company events.
COMPENSATION
- Salary Range: $170,000 - $210,000 per year. This wage range supersedes the base salary range listed below, due to the salary range below reflecting a national range.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$109,100.00-$224,000.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

INTRODUCTION
When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
All the benefits listed above are subject to the terms of their individual Plans.
And that’s just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
GENERAL SUMMARY:
Unum Group seeks Directors, AI/ML Transformation in Chattanooga, TN.
Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref #18817) for consideration.
ROLE AND RESPONSIBILITIES
- Lead AI/ML Strategy and Roadmap – Define and oversee the strategic direction for AI/ML transformation initiatives, aligning model development and deployment with overall business goals.
- Design and Develop Advanced Models – Architect, train, and validate machine learning and generative AI models (including supervised, unsupervised, and reinforcement learning approaches) to solve complex business problems.
- Implement and Operationalize AI Solutions – Translate model outputs into production-ready digital products, ensuring scalability, robustness, and integration with existing enterprise systems.
- Model Governance and Risk Management – Establish and enforce responsible AI practices including explainability, fairness, bias detection, security, and regulatory compliance throughout the AI lifecycle.
- Cross-Functional Collaboration – Partner with product managers, engineers, data scientists, and business leaders to identify high-value use cases and drive adoption of AI/ML capabilities.
- Performance Monitoring and Continuous Improvement – Implement monitoring frameworks to track accuracy, drift, and performance of deployed models, ensuring timely retraining and updates.
- Team Leadership and Talent Development – Mentor and guide data science and engineering teams, fostering a culture of innovation, experimentation, and best practices in AI/ML.
- Stakeholder Communication – Present technical concepts and business impact of AI/ML initiatives to executive leadership, external partners, and non-technical audiences in a clear and compelling way.
- Innovation and Research – Stay current on emerging AI/ML methodologies, tools, and industry trends; pilot new technologies such as large language models and generative AI to maintain a competitive edge.
BASIC QUALIFICATIONS
Requires a Bachelor’s degree in AI/ML, Data Science or related analytical field plus 5 years of related experience. Alternatively, employer will accept a Master’s degree in AI/ML, Data Science or related analytical field plus 3 years of related experience. Requires 5 years of experience with a Bachelor’s degree, or 3 years with a Master’s degree, with the following:
- Statistics, calculus, and algorithm-based mathematics; building generalized linear models, and processing/analyzing time series data
- Coding abilities with an emphasis on Python and understanding many ML/AI based Python libraries, including Scikit-Learn, NumPy, pandas, and OpenCV
- Deep-learning (neural network) model building, training, and deployment, with PyTorch or Tensorflow
- Other forms of supervised learning, unsupervised learning, and optimization algorithms; experience with building gradient boosted tree models (LightGBM or XGBoost)
- DevOps and the ownership of a model’s lifecycle, including experimentation, deployment, monitoring of feature drift and inference performance, model evaluation, and model iteration
- Feature engineering for model performance improvement and data leakage prevention
- Working with healthcare-related claims data
- Version control of code, with a git-based code version control and repository system
Requires 4 years of experience with a Bachelor’s degree, or 2 years of experience with a Master’s degree, with the following:
- AI/ML cloud platforms (Amazon Web Services, Google Cloud Platform, or Microsoft Azure) and leveraging one or more of these platforms to deploy AI solutions
- Optical Character Recognition (OCR) in Python; experience with document processing, handwriting recognition, and document classification
- Querying relational databases (SQL) and non-relational databases (MongoDB) from a Python environment
Requires 2 years of experience with a Bachelor’s degree, or any amount of experience with a Master’s degree with the following:
- Generative AI/large language model applications; must be able to run off-the-shelf open-source LLMs and call commercial LLM APIs in a Python environment
- Fine-tuning LLMs/VLMs using PEFT (LoRA/QLoRA), plus quantization (4/8-bit, AWQ/GPTQ) for efficient, scalable inference
- Experience with data prep, evaluation, and deployment (Hugging Face or vLLM)
LOCATION
Chattanooga, TN
WORK ARRANGEMENT
100% telecommuting permitted. 25% domestic travel to company events.
COMPENSATION
- Salary Range: $170,000 - $210,000 per year. This wage range supersedes the base salary range listed below, due to the salary range below reflecting a national range.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$109,100.00-$224,000.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
AI ML Engineer Job Roles in Tennessee
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Search AI ML Engineer Jobs in TennesseeAI ML Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies in Tennessee sponsor visas for AI/ML engineers?
Healthcare technology is the dominant sponsoring sector in Tennessee. HCA Healthcare, Change Healthcare (now part of Optum), and Vanderbilt University Medical Center have all filed H-1B petitions for machine learning and data science roles. Oak Ridge National Laboratory sponsors researchers under both H-1B and J-1 categories. Logistics and supply chain firms headquartered in Memphis, including FedEx, also have a track record of sponsoring AI and ML engineering positions.
Which visa types are most common for AI/ML engineer roles in Tennessee?
The H-1B is the most common visa category for AI/ML engineers in Tennessee, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Researchers at institutions like Oak Ridge National Laboratory may also work under O-1 or J-1 visas. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA/USMCA computer systems analyst category.
Which cities in Tennessee have the most AI/ML engineer visa sponsorship jobs?
Nashville leads the state for AI/ML sponsorship activity, driven by its large healthcare IT sector and a growing startup ecosystem. Knoxville is notable for research-oriented roles tied to Oak Ridge National Laboratory and the University of Tennessee. Memphis sees sponsorship mainly through large logistics and operations firms. Smaller clusters exist in Chattanooga, which has invested in smart infrastructure and technology initiatives attracting engineering talent.
How to find ai ml engineer visa sponsorship jobs in Tennessee?
Migrate Mate is designed specifically for international job seekers and filters AI/ML engineer roles in Tennessee by visa sponsorship history, so you are not wasting time on employers unlikely to sponsor. The platform surfaces positions from healthcare tech, research institutions, and logistics firms active in Nashville, Knoxville, and Memphis. Filtering by role and state on Migrate Mate gives you a focused list of employers with a verified sponsorship track record in this field.
Are there any state-specific factors AI/ML engineers should know before pursuing sponsorship in Tennessee?
Tennessee has no state income tax on wages, which affects overall compensation packages and sometimes influences how employers structure offers, though H-1B prevailing wage requirements set by the Department of Labor still apply regardless of state tax policy. The Oak Ridge corridor creates a concentration of research-focused roles that may require security clearance eligibility, which can limit sponsorship options for some international candidates. Vanderbilt and UT Knoxville alumni networks are active hiring pipelines worth engaging early.
What is the prevailing wage for sponsored ai 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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