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Senior Mlops Engineer Jobs in Rochester, MN (NOW HIRING)

Senior Mlops Engineer information

See Rochester, MN salary details

$60.5K

$128.6K

$186.5K

How much do senior mlops engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior mlops engineer in Rochester, MN is $128,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $145,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior MLOps Engineer, you need deep expertise in machine learning workflows, software engineering, and cloud infrastructure, typically supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, GCP, or Azure, as well as certifications in cloud or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills set standout professionals apart in this role. These skills and qualities are crucial to ensuring robust, scalable, and efficient deployment of machine learning models in production environments.

What is the difference between Senior Mlops Engineer vs Data Scientist?

AspectSenior Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML deployment toolsBachelor's/Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in productionFocus on data analysis, model development, and insights generation
Industry UsageUsed in tech, finance, healthcare for ML deploymentUsed across industries for data analysis and modeling

The main difference is that Senior Mlops Engineers specialize in deploying and maintaining machine learning models in production environments, while Data Scientists focus on developing models and analyzing data. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ significantly.

What are some common challenges senior MLOps engineers face when deploying machine learning models to production environments?

Senior MLOps Engineers often encounter challenges such as managing model versioning, ensuring reproducibility, and scaling deployments across diverse infrastructure. Balancing the needs of data scientists for experimentation with the stability and reliability requirements of production systems can be complex. Additionally, integrating continuous integration and continuous deployment (CI/CD) pipelines for ML workflows and monitoring model performance post-deployment are ongoing responsibilities. Collaboration with data scientists, software engineers, and IT operations is crucial to address these challenges and maintain robust, efficient ML systems.

What is a senior MLOps engineer?

A Senior MLOps Engineer is an experienced professional who bridges the gap between data science, machine learning, and software engineering. They are responsible for designing, deploying, and maintaining scalable machine learning systems in production environments. Their role involves automating workflows, monitoring model performance, ensuring reproducibility, and managing the infrastructure needed to support machine learning operations. Senior MLOps Engineers also collaborate with data scientists, software developers, and IT teams to ensure smooth integration and continuous delivery of ML models. They play a crucial role in making machine learning solutions reliable, efficient, and scalable for business applications.
What are popular job titles related to Senior Mlops Engineer jobs in Rochester, MN? For Senior Mlops Engineer jobs in Rochester, MN, the most frequently searched job titles are:
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What cities near Rochester, MN are hiring for Senior Mlops Engineer jobs? Cities near Rochester, MN with the most Senior Mlops Engineer job openings:

Senior Software Engineer - AI Platform Engineering

Mayo Clinic

Rochester, MN • On-site

$119K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 696 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description


The Role
As a Senior Software Engineer for AI Platform Engineering, you will bridge the gap between high-scale systems architecture and frontier AI. You will be one of architects and builders of our Model & Agent Runtimes-the specialized engines that govern how models and autonomous agents execute across our hybrid-cloud footprint.
This isn't just about deployment; it's about a platform-first mindset. You will ensure that AI capabilities are scalable, secure, and governed through world-class AgentOps, LLMOps, and MLOps practices.
What You'll Do
  • Architect the Future of Runtimes: Design and implement high-performance hosting environments for both specialized models and autonomous agents.
  • Scale Hybrid-Cloud Infrastructure: Build multi-tenant platform capabilities that support seamless agent and model execution across diverse cloud and on-prem environments.
  • Drive Operational Excellence: Implement robust solutions for real-time monitoring, distributed tracing, and automated evaluation of agents & models in production.
  • Operational Stewardship: Act as a member of our rotational platform operational team, ensuring the reliability and uptime of critical AI services.
  • Collaborate & Advocate: Partner with cross-functional AI teams to identify system friction, streamlining their workflows and accelerating the delivery of AI-driven value.

What You'll Bring
  • Deep Systems Expertise: Proven experience building scalable back-end systems, ideally with a focus on containerization and orchestration (Kubernetes).
  • AI/ML Fluency: Strong understanding of the lifecycle of LLMs and autonomous agents, including inference optimization and RAG architectures.
  • Operational Rigor: A track record of implementing observability (logging, metrics, tracing) in complex, distributed environments.
  • Problem-Solving Mindset: The ability to turn abstract AI research into production-grade, hardened platform features.

Why this team? We are moving beyond simple model serving. We are building the foundational "nervous system" for autonomous agents in a high-stakes environment where performance and governance are non-negotiable.
This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
Qualifications
Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience.
Have in-depth knowledge of software engineering with experience coding applications or services in a high-level programming language, preferably Python, and a basic knowledge of related fields.
Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. Experience with Agile software development techniques.
• Preferred qualifications for this position include:
• Master's degree in Computer Science/Engineering or related field.
• Ability to use a wide variety of open-source technologies and cloud-based services.
• Experience writing software for the cloud (GCP, AWS, Azure).
• Experience in databases, analytics, big data systems or business intelligence products.
• Experience building high-performance, highly available and scalable distributed systems.
• Experience developing software for healthcare related industries.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

What Mayo Clinic employees say

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Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919