1

Mlops Manager Jobs (NOW HIRING)

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 ...

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 ...

MLOps Technical Architect

Atlanta, GA · On-site

$63.75 - $77/hr

Proficiency with GitHub for source control and version management. * Experience in model ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

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 ...

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 ...

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ... Hands on Kubernetes experience in deploying and managing containerized ML workloads with ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...

Senior Software Developer (MLOps)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

Design and implement data and model-serving services that integrate machine learning components into operational C-UAS workflows MLOps, ML Integration & Lifecycle Management * Collaborate with data ...

San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an experienced MLOps Engineer to build and manage scalable machine learning infrastructure, automate model ...

This is a hands-on technical leadership role, not a management position; you will be a primary ... Own the technical direction for the MLOps platform - define subsystem interfaces, drive ...

MLOps Platform Engineer Location: Reston VA - In person interviews so need Local In EAST coast only ... Container & Kubernetes Workloads · Design and manage EKS workloads supporting containerized ML ...

Establish and maintain MLOps practices, including automated training, deployment, monitoring, retraining, and performance management. Ensure AI solutions are reliable, scalable, secure, and optimized ...

MLOps Technical Architect

Atlanta, GA · On-site

$64 - $77.25/hr

Proficiency with GitHub for source control and version management. * Experience in model ... Architect scalable AI/ML, MLOps, Generative AI, and Agentic AI solutions. * Lead the design and ...

Showing results 41-60

Mlops Manager information

What is the salary of MLOps manager?

The salary of an MLOps manager typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those in high-demand regions may offer higher compensation, often including benefits such as bonuses and stock options.

What is the difference between Mlops Manager vs Data Scientist?

AspectMlops ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; certifications in cloud platforms or MLOps toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentCollaborates with engineering, DevOps, and data teams to deploy and maintain ML systemsAnalyzes data, builds models, and provides insights to inform business decisions
Employer & Industry UsageTech companies, AI startups, enterprises implementing ML pipelinesResearch institutions, tech firms, finance, healthcare, and marketing sectors

The Mlops Manager focuses on deploying, maintaining, and optimizing machine learning systems within an organization, working closely with engineering and DevOps teams. In contrast, a Data Scientist primarily analyzes data, develops models, and provides insights. While both roles require knowledge of machine learning, the Mlops Manager emphasizes operationalizing ML solutions, whereas the Data Scientist emphasizes data analysis and modeling.

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

To thrive as an MLOps Manager, you need expertise in machine learning, software engineering, and DevOps practices, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and certifications such as AWS Certified Machine Learning or Google Cloud Professional ML Engineer are highly beneficial. Strong leadership, problem-solving, and cross-functional communication skills help manage teams and bridge the gap between data science and IT operations. These abilities are crucial for ensuring reliable, scalable, and efficient deployment of machine learning solutions in production environments.

What are some common challenges an MLOps manager faces when integrating machine learning models into production environments?

MLOps Managers often encounter challenges such as ensuring seamless collaboration between data science and engineering teams, managing model versioning, and maintaining reliable deployment pipelines. Balancing rapid experimentation with the need for robust, scalable, and secure production systems can be complex. Additionally, monitoring model performance post-deployment and handling data drift or model degradation are ongoing responsibilities. Effective communication and establishing standardized processes are key to overcoming these challenges and ensuring successful model operations.

Is MLOps in high demand?

MLOps managers are in high demand due to the increasing adoption of machine learning and AI across industries. Organizations seek professionals skilled in deploying, monitoring, and maintaining ML models using tools like Kubernetes, Docker, and cloud platforms, making MLOps a rapidly growing field with strong job prospects.

What is an MLOps manager?

MLOps Managers are professionals responsible for overseeing the deployment, operation, and scaling of machine learning models in production environments. They coordinate teams to ensure seamless collaboration between data scientists, engineers, and IT staff, facilitating the automation of machine learning workflows. Their role involves managing infrastructure, optimizing processes for model monitoring and maintenance, and ensuring compliance with organizational and industry standards. MLOps Managers play a key role in bridging the gap between model development and operationalization, ensuring that machine learning solutions are reliable, reproducible, and scalable.
More about Mlops Manager jobs
What cities are hiring for Mlops Manager jobs? Cities with the most Mlops Manager job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Mlops Manager jobs? States with the most job openings for Mlops Manager jobs include:
Infographic showing various Mlops Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Staff MLOps Engineer

HCA Healthcare

Murfreesboro, TN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


HCA Healthcare rating

6.5

Company rating: 6.5 out of 10

Based on 2,286 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.


What HCA Healthcare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom