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Machine Learning Engineer Jobs in Mequon, WI (NOW HIRING)

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Makes use of machine learning tools to select features, create and optimize data classifiers.

Accenture

Agentic DevOps Lead

Milwaukee, WI · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Key Responsibilities * Lead Agentic DevOps Strategy : Define and implement scalable DevOps ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO), GitHub Actions, Jenkins

Generac

Senior Engine Code Engineer

Waukesha, WI · On-site

$104K - $143K/yr

Senior Engine Code Engineer For more than 65 years, we've turned big ideas into solutions that help ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods * Expert in using modern analytics tools, programming languages ...

GE Aerospace

Software Engineer AI/ML

Waukesha, WI

$114K - $137K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

JDA

Sr Gen AI Engineer

Waukesha, WI · On-site

$87K - $140K/yr

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX * Familiarity with ...

Pwc

AI & GenAI Data Scientist - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

KOHLS

Data Scientist I

Menomonee Falls, WI

... using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value * Experience using modern analytics tools, programming ...

Indeed

Staff ML Software Engineer

Milwaukee, WI

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine Learning Model Platform team at Indeed, you will be responsible for leading and executing key objectives ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Mequon, WI

Machine Learning Engineer information

See Mequon, WI salary details

$28K

$114.3K

$171.8K

How much do machine learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for machine learning engineer in Mequon, WI is $114,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $137,600.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 job categories do people searching Machine Learning Engineer jobs in Mequon, WI look for? The top searched job categories for Machine Learning Engineer jobs in Mequon, WI are:
What cities near Mequon, WI are hiring for Machine Learning Engineer jobs? Cities near Mequon, WI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Mequon, WI as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,329 per year, or $55 per hour.
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI

$77K - $108K/yr

Full-time

Posted 24 days ago

Job description

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 


  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects.
  • Sets and manages project milestones and dates.
  • Performs other related duties as assigned.
  • Provides guidance and best practice advice to data science interns. 

  • Bachelor's Degree required; Master’s degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of one (1) year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.
-Milwaukee - $77,500 to $108,500

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