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Ml Engineer Jobs in Minnesota (NOW HIRING)

Wipro Limited

AI ML Engineer

Minneapolis, MN · On-site

$60K - $135K/yr

AI ML Engineer City: Minneapolis State/Province: Minnesota Posting Start Date: 8/28/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

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UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Growing together We are seeking a Sr AI/ML Engineer to join our LMIS team in supporting UnitedHealthcare Employer & Individual (E&I) modernization and our underwriting team. In this role, you will ...

UnitedHealth Group

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Growing together We are seeking a Sr AI/ML Engineer to join our LMIS team in supporting UnitedHealthcare Employer & Individual (E&I) modernization and our underwriting team. In this role, you will ...

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Showing results 21-40

All JobsMl Engineer JobsMl Engineer Jobs in Minnesota

Ml Engineer information

See Minnesota salary details

$32.3K

$87.3K

$139.1K

How much do ml engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ml engineer in Minnesota is $87,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $106,800.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

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

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are popular job titles related to Ml Engineer jobs in Minnesota?

For Ml Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Minnesota look for?

The top searched job categories for Ml Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Ml Engineer jobs?

Cities in Minnesota with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $87,347 per year, or $42 per hour.

ML Engineer in Minneapolis MN /Hartford, CT (Onsite)

Winning Edge Solutions, LLC

Minneapolis, MN • On-site

Other

Posted 29 days ago

Job description

Role: ML Engineer

Location: Minneapolis MN / Hartford, CT (Onsite)

Duration: 12+ Month Contract

Key Skills: Machine Learning, Python, ML Pipelines, Model Deployment, Model Serving, Data Engineering, Model Monitoring, Drift Detection, Performance Optimization, Automated Testing

Job Description:

Role Summary: Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Responsibilities:

Translate data science prototypes into production-grade ML services and pipelines.

Build training and inference code with reproducibility, versioning, and automated testing.

Implement scalable model serving (online/offline), batching, and latency/throughput optimization.

Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).

Collaborate with Data Engineering on feature pipelines and data contracts.

Own production health: drift detection, performance regression, rollback strategies, and incident response.

About Us WinningEdge:

Job Search can be a painful & frustrating process. We take time to understand candidate skill sets, and job search preferences and match them with our ideal clients. Our team has a combined experience of over 100 years and we have successfully placed hundreds of candidates.


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