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Mlops Jobs in Tennessee (NOW HIRING)

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable ...

Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance * Develop scalable pipelines for data ingestion, feature engineering ...

MLOps and AI Delivery Automation: Establish CI/CD and MLOps pipelines, infrastructure-as-code, environment management, automated testing, release controls, and observability practices for AI-enabled ...

Machine Learning Operations Engineer

Nashville, TN · On-site

$51 - $69.75/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...

Machine Learning Operations Engineer

Nashville, TN · On-site +1

$51 - $69.75/hr

Learn more at Position Summary We are seeking an experienced Machine Learning Ops (MLOps) Engineer to architect, develop, and maintain the full lifecycle of data and model pipelines that power ...

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Ensure compliance with data governance, security, CI/CD, and MLOps best practices across all environments. Required Skills & Experience * 7-12 years of total IT experience, including strong hands-on ...

Pre-Sales Leader

Nashville, TN · On-site +1

$100K - $175K/yr

MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...

Pre-Sales Leader

Nashville, TN · On-site

$100K - $175K/yr

MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...

Pre-Sales Leader

Nashville, TN · On-site +1

$100K - $175K/yr

MLOps environments * SQLMesh * AI-powered productivity tools and workflows Why Consider This Opportunity? * Opportunity to help shape a rapidly growing fintech organization * Direct influence on ...

Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI, AMD Silo AI, ClearML, MLFlow * Experience using HPC hardware for Kubernetes - e.g. RDMA, DPUs, Infiniband ...

Develop and maintain robust MLOps pipelines and practices including model versioning, automated retraining workflows, continuous integration and delivery for ML models, and comprehensive model ...

Define and govern enterprise AI architecture standards , including model lifecycle management, MLOps, and AI platform integration. * Ensure responsible and compliant AI adoption, aligned with AI ...

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Mlops information

See Tennessee salary details

$102.4K

$160.8K

$191.3K

How much do mlops jobs pay per year?

As of Sep 1, 2026, the average yearly pay for mlops in Tennessee is $160,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,907.00 and $174,617.00 per year, depending on experience, location, and employer.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.

What are the key skills and qualifications needed to thrive as an MLOps engineer?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

Is MLOps outdated?

MLOps is an evolving field focused on deploying and managing machine learning models efficiently. It remains highly relevant as organizations increasingly adopt AI solutions, with skills in automation, cloud platforms, and monitoring tools in demand. Staying current with new tools and best practices is essential for MLOps professionals.

What is the average salary in MLOps?

The average salary for MLOps engineers typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning deployment tend to earn higher salaries.

What are the most commonly searched types of Mlops jobs in Tennessee?

The most popular types of Mlops jobs in Tennessee are:

What are popular job titles related to Mlops jobs in Tennessee?

For Mlops jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Mlops jobs?

Cities in Tennessee with the most Mlops job openings:

Infographic showing various Mlops job openings in Tennessee as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $160,776 per year, or $77.3 per hour.

Staff MLOps Engineer

HCA Healthcare

Murfreesboro, TN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 hours ago


HCA Healthcare rating

6.5

Company rating: 6.5 out of 10

Based on 2,306 frontline employees who took The Breakroom Quiz

612th of 896 rated healthcare providers


Job description

Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. Submit your application for the opportunity below: Staff ML Ops Engineer 

Job Summary and Qualifications

Position Summary

The Staff MLOps Engineer plays a pivotal role in shaping our MLOps practice within ITG by building and enhancing a scalable, reliable, and cutting-edge Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless collaboration, and drive innovation.

As a key contributor to the organization’s AI/ML strategy, you will partner with cross-functional teams, including data scientists, product managers, and cloud engineers, to align platform development with business objectives. Your work will directly support the deployment of Responsible AI solutions that prioritize transparency, fairness, and ethical practices.

Major Responsibilities:

• Platform Development: Lead the enhancement of the AI platform to improve the developer experience for data and ML engineers. Optimize workflows by integrating state-of-the-art tools and technologies, ensuring scalability and efficiency.

• Cloud Infrastructure Design and Management: Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging infrastructure-as-code (IaC) tools like Terraform. Optimize for scalability, security, cost-effectiveness, and high availability.

• Cross-Functional Collaboration and Stakeholder Management: Partner with data science, product management, engineering, and business teams to understand their requirements and ensure the MLOps platform effectively supports their needs. Effectively communicate technical concepts and strategies to both technical and non-technical audiences.

• AI/ML Reliability and Observability: Collaborate with the AI/ML reliability engineering team to design and implement components that ensure the platform’s operational reliability, observability, and fault tolerance.

• Cross-Disciplinary Knowledge: Apply knowledge from related disciplines, such as data science and health/biology sciences, to design holistic MLOps solutions that meet the unique needs of the organization.

• DevOps for Machine Learning Workloads: Build and maintain robust DevOps pipelines tailored for ML workflows, enabling automated model training, testing, deployment, and monitoring.

• Tool Development and System Reliability: Design and manage tools to enhance platform reliability, including dashboards, logging systems, and alerting frameworks, to ensure seamless operations.

• Performs other duties as assigned

• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”

Education & Experience:

•  Bachelor's degree preferred

•  Master's degree in Computer Science, Data Science, AI, or related field preferred

•  5+ years of experience in ML Ops, Dev Ops, or related role required

Knowledge, Skills, Abilities, Behaviors Required:

• Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients.

• Honor our Mission and Values: Ability to build trust and act with authenticity to cultivate a culture of integrity, inclusion, and mutual respect.

• Effective Decision Making: Ability to make timely, informed decisions that are in the best interest of our patients, employees, providers, community and HCA.

• Attain and Leverage Strategic Relationships: Ability to develop and strengthen collaborative relationships with both internal and external stakeholders to advance the care of our patients and the growth of HCA.

• Lead and Develop Others: Ability to lead others to accomplish organizational goals and objectives; provide meaningful coaching and mentoring to increase the capabilities of individuals and teams and drive employee engagement.

• Communicate with Impact: Ability to deliver information in a clear, concise, and compelling manner to effectively engage others and achieve desired results.

• Achieve Success through Change: Ability to identify opportunities for improvement and innovation, remove barriers and resistance, and enable desired behaviors.

• Drive Execution and Financial Results: Ability to commit to the success and financial wellbeing of HCA by challenging others to excel and hold themselves and others accountable for achieving results.

• Advanced proficiency in cloud platforms, especially Google Cloud Platform (GCP). Experience with on-premises and edge deployments is a plus.

• Solid understanding of AI/ML concepts, technologies, and best practices, with hands-on experience deploying ML solutions at scale.

• Proven ability to work closely with peer teams, data scientists, and product managers to align platform development with strategic goals.

• Proficiency in Python and other scripting tools for automation and platform optimization.

• Strong analytical and troubleshooting skills, with a track record of solving complex problems under pressure.

• Proven experience managing and leading cloud architecture and engineering teams preferred

• Strong background in AI/ML or data science technologies and platform development.

• Demonstrated expertise in leading Responsible AI initiatives, with a focus on ethical AI practices.

• Excellent communication, leadership, and project management skills.

Required in office 2 days a week minimum and occasional/ intermittent travel required

Benefits

HCA Healthcare, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:

  • Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services
  • Wellbeing support, including free counseling and referral services
  • Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence
  • Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling
  • Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing
  • Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts

Learn more about Employee Benefits

Note: Eligibility for benefits may vary by location.

HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.


"There is so much good to do in the world and so many different ways to do it."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder

If you find this opportunity compelling, we encourage you to apply for our Staff ML Ops Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team. We are interviewing - apply today!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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