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Mlops Engineer Remote Jobs in Chaska, MN (NOW HIRING)

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Mlops Engineer Remote information

See Chaska, MN salary details

$40.7K

$124.2K

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How much do mlops engineer remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for mlops engineer remote in Chaska, MN is $124,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $162,400.00 per year, depending on experience, location, and employer.

What does an MLOps engineer do in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are common challenges faced by remote MLOps engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

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

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What job categories do people searching Mlops Engineer Remote jobs in Chaska, MN look for?

The top searched job categories for Mlops Engineer Remote jobs in Chaska, MN are:

What cities near Chaska, MN are hiring for Mlops Engineer Remote jobs?

Cities near Chaska, MN with the most Mlops Engineer Remote job openings:

Infographic showing various Mlops Engineer Remote job openings in Chaska, MN as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,232 per year, or $59.7 per hour.

Lead AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • Remote

$145K - $249K/yr

Full-time

Retirement

Re-posted yesterday


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 891 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.    

As a Lead AI/ML Engineer on the Optum Rx technology team in Eden Prairie, MN, you will lead the architectural design, development, and enterprise deployment of advanced machine learning models and AI-driven solutions that transform pharmacy benefit management, medication access, and prescription fulfillment operations. In this role, you will collaborate closely with data science, software engineering, and business leaders to solve complex health technology problems, automate key workflows, and scale robust, secure AI solutions across our digital pharmacy platforms.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Design, develop, and deploy scalable, production-grade AI-powered solutions and machine learning architectures to address complex business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
  • Leverage enterprise-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and drive continuous operational improvement
  • Evaluate emerging technology trends, Generative AI models, and machine learning techniques to inform solution design, platform architecture, and strategic enterprise innovation
  • Lead the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and real-time model monitoring
  • Partner with cross-functional teams, data scientists, and business leaders to translate healthcare requirements into reliable, high-performance AI services and microservices
  • Provide technical leadership, architectural guidance, and code reviews, establishing best practices and mentoring engineering team members

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, OR 4 years of equivalent software engineering experience
  • 5 years of software engineering experience with a strong focus on building, scaling, and deploying machine learning models and AI systems
  • 3 years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
  • 3 years of experience programming in Python and utilizing core ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • 2 years of hands-on experience with cloud platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., Docker, Kubernetes)
  • 2 years of experience with big data technology stacks (e.g., Spark) and database systems (SQL/NoSQL)

Preferred Qualifications:

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field
  • Experience building and deploying Generative AI applications, Large Language Models (LLMs), and retrieval-augmented generation (RAG) patterns in cloud environments
  • Experience working with pharmacy benefit management (PBM) data, clinical workflows, healthcare transaction systems, or HIPAA compliance standards
  • Solid knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform) and continuous integration/continuous deployment (CI/CD) practices
  • Proven leadership experience guiding cross-functional technical projects and mentoring mid-level engineers

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 

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