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Artificial Intelligence Machine Learning Engineer Jobs in Minnesota

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Guide clients in navigating ML algorithms, tools, and frameworks Requirements * 2+ years of experience with artificial intelligence, data science, or machine learning engineering * Experience with ...

Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

... Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

... Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

... Artificial Intelligence services such as Azure ML or AWS SageMaker. 5) Providing deep insights from business data using Power BI, Tableau or similar business intelligence tools. 6) Utilizing the ...

AeroVironment

Machine Learning Engineer II

Minneapolis, MN · On-site

$102K - $155K/yr

Citizenship required Summary The Machine Learning Engineer II will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Minnesota

Artificial Intelligence Machine Learning Engineer information

See Minnesota salary details

$30.9K

$126.1K

$189.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for artificial intelligence machine learning engineer in Minnesota is $126,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $151,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Minnesota? For Artificial Intelligence Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Minnesota look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Minnesota with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,118 per year, or $60.6 per hour.

Machine Learning Engineer

Jobtailor

Virginia, MN • On-site

$150 - $190/hr

Other

Posted 8 days ago

Job description

Responsibilities
  • Train, test, deploy, and maintain models that learn from data
  • Define the direction of mission‑critical solutions by implementing AI
  • Collaborate with data engineers, data scientists, solutions architects, and product owners
  • Guide clients in navigating ML algorithms, tools, and frameworks
Requirements
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • TS/SCI clearance
  • Bachelor's degree
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