The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Your role on our team As a Machine Learning Engineer II, you will create, develop, and validate machine learning models while working with highly cross-functional teams to make power tool solutions ...
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
Machine Learning Tutor
Milwaukee, WI · Remote
$18 - $40/hr
About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver innovative technologies and accelerate product development in the Power Tool Accessories business ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver innovative technologies and accelerate product development in the Power Tool Accessories business ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...
Senior MLOps Engineer (Remote)
Menomonee Falls, WI · On-site
$104K - $144K/yr
Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance ...
Principal Data & AI Architect
Waukesha, WI · On-site
$180 - $250/hr
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.
Principal Data & AI Architect
Waukesha, WI · On-site
$180 - $250/hr
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.
Principal Data & AI Architect
Waukesha, WI · On-site
$140 - $190/hr
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.
Principal Data & AI Architect
Waukesha, WI · On-site
$140 - $190/hr
Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.
Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI ...
Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI ...
Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI ...
Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI ...
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Data Scientist
Milwaukee, WI · On-site
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Data Scientist
Milwaukee, WI · On-site
Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:
New
Machine Learning information
See Mequon, WI salary details
$22.6K - $27.7K
5% of jobs
$29.4K is the 25th percentile. Wages below this are outliers.
$27.7K - $32.7K
59% of jobs
$32.7K - $37.8K
9% of jobs
$38.2K is the 75th percentile. Wages above this are outliers.
$37.8K - $42.8K
17% of jobs
$42.8K - $47.9K
4% of jobs
$47.9K - $52.9K
2% of jobs
$52.9K - $58K
3% of jobs
$58K - $63K
0% of jobs
$63K - $68K
0% of jobs
$68K - $73.1K
0% of jobs
$73.1K - $78.1K
0% of jobs
$22.6K
$37.8K
$78.1K
How much do machine learning jobs pay per year?
As of Aug 29, 2026, the average yearly pay for machine learning in Mequon, WI is $37,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,800.00 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 cities near Mequon, WI are hiring for Machine Learning jobs?
Cities near Mequon, WI with the most Machine Learning job openings:
Job description
Job Summary:
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .
Techtronic Industries - TTI is a company that values its people and culture as key to its success. The Machine Learning Engineer II will create and validate machine learning models, innovate solutions for power tools, and collaborate with cross-functional teams to enhance user experiences.
Responsibilities:
• create, develop, and validate machine learning models
• work with highly cross-functional teams
• innovate and explore new machine learning solutions
• demonstrate excellent problem-solving skills
• exhibit critical thinking
• thrive under pressure in a dynamic environment
• show strong technical communication skills
• exercise fundamental project management abilities
• take proactive ownership for projects and tasks
• understand how projects connect to broader initiatives
Qualifications:
Required:
• Bachelor of Science Degree in Computer Science, Computer Engineering, Electrical Engineering or other scientific or engineering discipline.
• Completed course work or specialization in Machine Learning and/or Data Science
• At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field
• Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
• Demonstrated experience with machine learning and AI methods such as CNNS, transformers, or computer vision
• Proficient developing and debugging code in Python
• Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
• Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
• Solid mathematical foundation in statistics, linear algebra, calculus and optimization
• Experience working with modern software development tools and version control tools
• Excellent problem-solving skills, critical thinking, and ability to work well under pressure in a dynamic environment.
• Excellent technical communication skills and fundamental project management abilities
• Demonstrated strong sense of ownership of a project or tasks and understanding of relationships to other tasks/projects
• Ability to travel up to 10% of the time (domestic and international).
Preferred:
• Master’s degree or PhD in Machine Learning or related field is preferred
• At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
• Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
• Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
• Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
• Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
• Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
• Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
• Experience developing and deploying machine learning algorithms to edge environments
• Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models
Company:
Milwaukee Tool manufactures electric power tools and accessories. It is a sub-organization of Techtronic Industries. Founded in 1924, the company is headquartered in Brookfield, USA, with a team of 5001-10000 employees. The company is currently .