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Ml Engineer Jobs in Minnesota (NOW HIRING)

Centraprise

ML Engineer

Minneapolis, MN · On-site

Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years software engineering with 2+ years shipping ML models to production. * Strong ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses ...

UnitedHealth Group

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ability in designing and training LLMs. * Expertise in Databricks/Apache Spark for large-scale data ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ability in designing and training LLMs. * Expertise in Databricks/Apache Spark for large-scale data ...

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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 Aug 6, 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 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.

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 find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

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 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.

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 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 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $87,347 per year, or $42 per hour.

ML Engineer

Centraprise

Minneapolis, MN • On-site

Contractor

Re-posted 12 days ago

Job description

Job Description:
  • 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."
  • 5+ years software engineering with 2+ years shipping ML models to production.
  • Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
  • Experience with containers and orchestration (Docker/Kubernetes) and API development.
  • Understanding of ML system design (data leakage, training-serving skew, drift).
  • CI/CD and DevOps practices applied to ML workloads (MLOps).
  • Experience with feature stores, model registries, and model monitoring stacks.
  • GPU optimization and distributed training experience.
  • Experience with responsible AI toolkits and compliance requirements."
  • Python, TensorFlow, PyTorch, Docker, REST APIs

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