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Machine Learning Biology Jobs in Tennessee (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Showing results 21-40

Machine Learning Biology information

See Tennessee salary details

$20.9K

$47.4K

$67.6K

How much do machine learning biology jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning biology in Tennessee is $47,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $54,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in machine learning biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

What is a machine learning biology?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in machine learning biology?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are popular job titles related to Machine Learning Biology jobs in Tennessee? For Machine Learning Biology jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Tennessee look for? The top searched job categories for Machine Learning Biology jobs in Tennessee are:
Infographic showing various Machine Learning Biology job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $47,368 per year, or $22.8 per hour.

Staff MLOps Engineer

HCA Healthcare

Nashville, TN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


HCA Healthcare rating

6.5

Company rating: 6.5 out of 10

Based on 2,283 frontline employees who took The Breakroom Quiz

605th of 887 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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