ZipRecruiter

Log In

1

Machine Learning Jobs in Minneapolis, MN (NOW HIRING)

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Mercy

Ada - Sonography Intern - PRN

Anoka, MN

This position provides hands-on training and exposure to diagnostic imaging techniques, with a focus on learning the practical and theoretical aspects of ultrasound technology. The intern will assist ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Define the right AI approach across machine learning and Generative AI initiatives * Establish architecture standards, reusable patterns, and best practices for AI development * Guide integration of ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

previous page

Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Minneapolis, MN

Machine Learning information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

How much do machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Minneapolis, MN?

The most popular types of Machine Learning jobs in Minneapolis, MN are:

What are popular job titles related to Machine Learning jobs in Minneapolis, MN?

For Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Minneapolis, MN look for?

The top searched job categories for Machine Learning jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Machine Learning jobs?

Cities near Minneapolis, MN with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

GCP ML Architect - Data

Precision Technologies Corp

Chaska, MN • On-site

$68.25 - $88/hr

Full-time

Re-posted 27 days ago

Job description

Role: GCP ML Architect - Data

Location: Chaska MN

Hire type: Full-TIme

Detailed JD:

  • Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform
  • Key Responsibilities:
  • Design end-to-end data solutions, including data ingestion, storage, processing, and analysis pipelines, as well as machine learning model development, deployment, and monitoring pipelines.
  • Design and implement scalable, secure, and cost-optimized cloud infrastructure using GCP services like BigQuery, Dataflow, Dataproc, Cloud Storage, and Kubernetes Engine.
  • Design and implement data models, ensuring data consistency, accuracy, and accessibility for various applications and users.
  • Establish MLOps practices, enabling the automation of machine learning model training, deployment, and monitoring.
  • Ensure that all data solutions adhere to security and compliance standards, implementing access controls, encryption, and other security measures.
  • Monitor and optimize the performance of data and machine learning systems, ensuring they meet business requirements and SLAs.
  • Develop and implement strategies for managing and optimizing cloud costs, ensuring efficient resource utilization.
  • They provide technical guidance and mentorship to other team members, fostering a culture of best practices and continuous improvement.

Key Skills:

  • 10+ years of experience designing and developing production grade data architectures using google cloud data services and solutions
  • Proficiency in BigQuery, Dataflow, Dataproc, Cloud Storage, pub-sub, Kubernetes Engine, and other relevant GCP services.
  • Strong Experience with data warehousing, ETL processes, data modeling, and data pipeline development.
  • Strong hands on experience in Python and SQL
  • Strong experience of model development, deployment, and monitoring using Vertex AI
  • Good experience of LLM, agents and agentic AI, Agent Space and hands on RAG experience
  • Experience with cloud computing concepts, including infrastructure as code (IaC), scalability, security, and cost optimization.