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Senior Machine Learning Engineer Jobs in Tennessee

Domtar

Sr Process Engineer - Paper Machine

Kingsport, TN

$99K - $128K/yr

The location in Kingsport, TN is seeking talent to fill the position of Sr Process Engineer - Paper ... Willing to explore machine learning principles * Safety * Be a safety advocate, lead by example

Domtar

Sr Process Engineer - Paper Machine

Kingsport, TN · On-site

$99K - $128K/yr

The location in Kingsport, TN is seeking talent to fill the position of Sr Process Engineer - Paper ... Willing to explore machine learning principles * Safety * Be a safety advocate, lead by example

Pwc

NGA AI Engineer Senior Manager

Nashville, TN

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Deloitte

AI Solutions Architect

Nashville, TN

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

omnia

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Applied Machine Learning: Practical experience integrating Machine Learning into production ...

HEALTHSTREAM INC

Sr. AI/ML Engineer

Nashville, TN · On-site

$103K/yr

Position Title: Sr. AI/ML Engineer Job Location: 500 11th Avenue North, Suite 850, Nashville, TN ... Perform studies and testing to develop machine learning algorithms along with pattern recognition ...

OMNIA Partners LLC

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Applied Machine Learning: Practical experience integrating Machine Learning into production ...

Elevance Health

Distinguished AI Engineer

Nashville, TN · On-site +1

... machine learning, generative AI, and AI agents. This role is for a senior technical expert who can directly develop production-grade AI capabilities while also influencing architecture, delivery ...

Revecore

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations. The Senior Data Engineer will join the Technology function ...

Federal Express Corporation

AI Engineer II

Memphis, TN

$87K - $119K/yr

Write clean, efficient, and well-documented code to develop and implement machine learning and AI models that support various business use cases. * Implement data engineering and preprocessing ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Tennessee

Senior Machine Learning Engineer information

See Tennessee salary details

$54K

$114.9K

$166.5K

How much do senior machine learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior machine learning engineer in Tennessee is $114,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $130,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Tennessee? The most popular types of Machine Learning Engineer jobs in Tennessee are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Tennessee? For Senior Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Tennessee look for? The top searched job categories for Senior Machine Learning Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Machine Learning Engineer jobs? Cities in Tennessee with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Senior AI Engineer

Senior AI Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN • On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 14 days ago

Job description

BlueCross BlueShield of Tennessee is seeking a Senior AI Engineer to lead the design, development, deployment, and support of advanced AI solutions across the healthcare payer ecosystem.
As part of the MLOps team, this position operates at the intersection of AI engineering, MLOps, and applied business problem-solving. The Senior AI Engineer will help evaluate and adopt emerging AI platforms, shape how AI solutions are architected and delivered, and collaborate with cross-functional teams to bring production-ready solutions to life. This role also plays a key part in mentoring engineers and establishing best practices for modern AI development.
Why This Role Is Exciting:
  • End-to-End Impact - Work across the full lifecycle, from use case discovery and prototyping to delivering enterprise-scale AI solutions
  • Hybrid AI Role - Engage across AI engineering, Generative AI, and MLOps in a single, high-impact position
  • Modern Technology Exposure - Work hands-on with LLMs, evaluation frameworks, observability tools, and cloud-native platforms
  • Cross-Functional Collaboration - Partner with business and technical stakeholders to solve real-world challenges
  • Influence & Ownership - Help define standards, delivery models, and enterprise AI architecture
  • Culture of Innovation - Thrive in an environment that encourages continuous learning, experimentation, and collaborative ideation

Note:
  • This is a fully remote role, but final interviews at our Chattanooga, TN headquarters will be required.
  • Sponsorship is available for this role.

Job Responsibilities
  • Lead the ideation, development, and productionalization of sophisticated AI solutions tailored for healthcare payer use cases.
  • Architect, design, and implement complex, state-of-the-art AI models and algorithms, leveraging Python and cloud platforms like GCP Vertex AI.
  • Partner strategically with product teams and business stakeholders to define and prioritize opportunities for applying advanced AI techniques to solve critical business challenges and drive process automation.
  • Conduct in-depth research and maintain expertise in the latest advancements in AI, championing the adoption of cutting-edge techniques and methodologies within the team.
  • Architect and develop robust, scalable, and efficient systems and code bases for deploying AI models into production environments, ensuring high availability and performance.
  • Serve as a key technical advisor to our internal Lines-of-Businesses, understanding complex needs, gathering requirements, and translating them into impactful, actionable AI solutions.
  • Define and oversee the evaluation and validation frameworks for AI models, ensuring their accuracy, reliability, fairness, and performance exceed business requirements.
  • Mentor and guide junior engineers on best practices in AI development, model implementation, and system design.

Job Qualifications
Education
  • Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
  • Master's or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.

Experience
  • 5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience.
  • 3+ years of hands-on experience specifically with machine learning, deep learning, and preferably AI models (e.g., LLMs, diffusion models) is required.
  • Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines.
  • Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers).
  • Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable).

Skills/Certifications
  • Expert proficiency in Python and relevant data science/ML libraries.
  • Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint).
  • Proven ability to architect, design, and implement complex systems. Demonstrated success leading technically challenging projects from conception through to deployment.
  • Exceptional ability to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership.
  • Strong technical leadership and mentorship capabilities.
  • Must be able to communicate effectively and influence both technical and non-technical co-workers and stakeholders.
  • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

Number of Openings Available
1
Worker Type:
Employee
Company:
BCBST BlueCross BlueShield of Tennessee, Inc.
Applying for this job indicates your acknowledgement and understanding of the following statements:
BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.
Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:
BCBST's EEO Policies/Notices
BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

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