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Machine Learning Engineer Jobs in Lakeville, MN (NOW HIRING)

Accenture

Senior Data Scientist

Minneapolis, MN · On-site

Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps ...

Pwc

CTIO AI Engineering Manager

Minneapolis, MN

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Ultimus Fund Solutions

Senior AI Engineer

Minneapolis, MN · On-site

$150 - $200/hr

Architect and scale machine learning pipelines to support automated workflows across Fund ... Mentor junior engineering staff and advise the Managing Director on technical priorities and secure ...

New

THOMSON REUTERS

Senior Research Engineer

Eagan, MN · Hybrid

$106K - $146K/yr

Experience integrating Machine Learning and Generative AI solutions into production-grade ... Hands-on experience in other programming language/scripting language and development stack (Java ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Machine learning model selection and evaluation * Model monitoring, drift detection, and performance optimization * Development versus production environments * Data pipelines and feature engineering

New

Pwc

NGA AI Engineer Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Thomson Reuters

Senior Research Engineer

Eagan, MN · On-site

$106K - $146K/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 ...

Javen Technologies, Inc

Product Manager

Richfield, MN · On-site

Working at the intersection of business, design, engineering, and machine learning, this person coordinates cross-functional efforts, supports data-informed decision-making, and helps ensure the ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lakeville, MN

Machine Learning Engineer information

See Lakeville, MN salary details

$32.6K

$133.4K

$200.4K

How much do machine learning engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning engineer in Lakeville, MN is $133,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $160,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

More about Machine Learning Engineer jobs

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

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lakeville, MN as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,360 per year, or $64.1 per hour.

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

Winning Edge Solutions, LLC

Minneapolis, MN • On-site

Other

Posted 11 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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