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Senior Machine Learning Engineer Jobs in Minnesota

Data Scientist Sr

Minneapolis, MN · On-site

$108.80K - $149.60K/yr

COUNTRY Financial is seeking a Senior Data Scientist to join our Information Technology department ... Proven experience as a Machine Learning Engineer or similar role * Proficiency in managing and ...

Senior AI Engineer - SFL Scientific

Minneapolis, MN

$109.10K - $149.80K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you?ll collaborate with talented experts to build innovative solutions that address our company?s evolving ...

Senior Research Engineer

Eagan, MN · Hybrid

$106.60K - $146.30K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

AI Solutions Architect

Minneapolis, MN

$65.75 - $86.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Senior Research Engineer

Eagan, MN · On-site

$106.60K - $146.30K/yr

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

AI and Data Science Engineer III

Minneapolis, MN · On-site +1

$119.50K - $143.50K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Senior AI Engineer - SFL Scientific

Minneapolis, MN · On-site

$109.10K - $149.80K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

Report: You will report to the Machine Learning Manager in the Architecture, Engineering, and ... Perform requirements analysis with senior stakeholders, ensuring technical solutions meet both ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Minnesota salary details

$58.3K

$124K

$179.7K

How much do senior machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior machine learning engineer in Minnesota is $123,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Minnesota? The most popular types of Machine Learning Engineer jobs in Minnesota are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Minnesota? For Senior Machine Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Senior Machine Learning Engineer jobs? Cities in Minnesota with the most Senior Machine Learning Engineer job openings:

Data Scientist Sr

Countryfinancial

Minneapolis, MN • On-site

$108.80K - $149.60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Experience more with a career at COUNTRY Financial!

We're excited you're interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients.

About the roleDo you have advanced data skills and want to work in a high profile area focused on delivering mission critical data solutions for a wide variety of clients? We might be a good fit for you! COUNTRY Financial is seeking a Senior Data Scientist to join our Information Technology department. This position leads the design, development, and deployment of data-driven solutions to drive innovation and cost reduction for our business and technology partners. The ideal candidate is comfortable working with structured data, writing Spark jobs, and building models to support reporting or automation needs.
Key Responsibilities:
-Build and maintain robust Machine Learning (ML) and Artificial Intelligence (AI) models and deployment environments
-Drive activities with a special focus on model engineering and deployment of code to production workflows
-Work with IT and business stakeholders to understand requirements and translate them into technical solutions
-Develop data pipelines using PySpark and Hive within the Cloudera ecosystem
-Expand the use of AI, Large Language Models (LLM), and Retrieval Augmented Generation (RAG) capabilities
-Build and validate machine learning models for classification, regression, or clustering tasks.
-Write queries and perform analysis on large datasets using Hive and SQL
-Contribute to documentation, testing, and model handoff to ensure stability and maintainability
-Maintain and optimize GitLab templates for efficient workflow automation
-Ensure the scalability and reliability of ML/AI infrastructure
-Monitor and troubleshoot issues related to ML/AI pipelines and deployments
-Stay updated with the latest advancements in machine learning and AI technologiesHow does this role make an impact?

- Engages with business to understand business problems to be solved. Helps business frame problems in a way that can be addressed with analytics.
- Performs data mining and transforms raw data into actionable business information.
- Develops and implements data-driven business solutions using advanced statistical methods and machine learning techniques.
- Uses a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and documentation of data.
- Develops and produces supervised and unsupervised machine learning, forecasting and optimization. #LI-Corp

Do you have what we're looking for?
  • Typically requires 7+ years of relevant experience or a combination of related experience, education and training.

  • Proven experience as a Machine Learning Engineer or similar role

  • Proficiency in managing and maintaining ML/AI development and deployment environments

  • Experience with AI Engineering and Architecture

  • Understanding and experience with Cloud-based Infrastructure

  • Proficiency in Python and SQL

  • Recent experience working with vendors on build and delivery of data models/AI solutions

  • Experience with PySpark, Hive, and the Cloudera platform

  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

  • Familiarity with machine learning workflows using scikit-learn or similar libraries

  • Strong attention to detail and ability to follow established IT processes

  • Strong knowledge of GitLab and experience in maintaining CI/CD pipelines

  • Proficiency in data engineering and ETL processes

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud

  • Knowledge of DevOps practices and tools

  • Understanding of version control and CI/CD processes (ex: GitLab CI)

  • Familiarity with Jupyter Notebooks and dashboarding tools (ex: Tableau)

  • Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)

  • Excellent problem-solving skills and attention to detail

  • Strong communication and collaboration skills

  • Prior experience working in insurance or regulated environments

Base Pay Range:

$108,800-$149,600

The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience.

Incentive Pay:

In addition to base salary, this position is eligible for a Short-Term Incentive plan.

Why work with us?

Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We're a big company, yet small enough you can make an impact and won't get lost in the shuffle. You'll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business.

You'll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match.

COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations.

Come join our team at COUNTRY today!