ZipRecruiter

Log In

1

Ml Engineer Jobs in Wisconsin (NOW HIRING)

Johnson Controls, Inc.

Ai Engineer

Milwaukee, WI · On-site

Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems-ingestion, transformation, and ETL across structured and unstructured sources (e.g., Snowflake, Azure)

Accenture

Google Senior Data Engineer

Milwaukee, WI · On-site

$94K - $266K/yr

Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment). * Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation.

Pwc

ERP AI Engineer - Manager

Milwaukee, WI

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps. * Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring ...

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI · On-site

$96K - $126K/yr

Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps. * Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring ...

Rite-Hite

Systems Architect - Edge AI/ML

Milwaukee, WI · On-site

$238K/yr

Required : • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field required • 8+ years of experience delivering AI/ML ...

Acrisure

Senior AI Engineer

Stevens Point, WI

$101K - $139K/yr

Senior AI Engineer Austin, TX (Onsite 4 days per week) Note: This is a full-time role and we do not ... Build and deploy ML models from prototype to production Own the full lifecycle of ML projects ...

previous pagenext page

Showing results 21-40

All JobsMl Engineer JobsMl Engineer Jobs in Wisconsin

Ml Engineer information

See Wisconsin salary details

$33.3K

$90K

$143.3K

How much do ml engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml engineer in Wisconsin is $90,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $110,000.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

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

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What are the most commonly searched types of Ml Engineer jobs in Wisconsin?

The most popular types of Ml Engineer jobs in Wisconsin are:

What are popular job titles related to Ml Engineer jobs in Wisconsin?

For Ml Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ml Engineer jobs in Wisconsin look for?

The top searched job categories for Ml Engineer jobs in Wisconsin are:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $90,017 per year, or $43.3 per hour.

Ai Engineer

Johnson Controls, Inc.

Milwaukee, WI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 hours ago

Johnson Controls rating

8.0

Company rating: 8.0 out of 10

Based on 409 frontline employees who took The Breakroom Quiz

136th of 540 rated manufacturers

Job description

Build your best future with the Johnson Controls team
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
What we offer:
  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy

Johnson Controls International (JCI) is seeking an AI Engineer to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for an engineer who combines solid software, data, and ML engineering skills with hands-on Generative AI experience-and a data scientist's curiosity for how models behave. You build the pipelines, tooling, and applications that turn AI and LLM models into dependable production software.
As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from data pipeline through deployed application. You will make sound technical decisions within your scope, partner directly with cross-functional stakeholders, and guide junior engineers on specific problems as you deliver measurable business value.
How you will do it
Generative AI Systems & Applications
  • Develop and deploy Generative AI systems and LLM-powered applications (e.g., GPT, Claude, LLaMA) for use cases such as enterprise search, document summarization, and conversational AI.

  • Apply prompt engineering, fine-tuning, and orchestration techniques to adapt foundation models for domain-specific applications.

  • Build agentic workflows and task-specific AI agents-using Palantir AIP or the Microsoft Agent Framework-that orchestrate tools, retrieval, and reasoning.

  • Evaluate and improve model outputs for accuracy, relevance, latency, and cost, applying data science techniques to measure and validate performance.

Data, ML & Software Engineering
  • Build and maintain the data pipelines that feed AI systems-ingestion, transformation, and ETL across structured and unstructured sources (e.g., Snowflake, Azure).

  • Develop and operate ML pipelines and MLOps workflows-training, evaluation, deployment, and monitoring-using CI/CD, containerization (Docker), and model serving.

  • Build reusable components, services, and APIs around AI models that help the team ship features faster.

  • Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate knowledge retrieval.

  • Apply software engineering best practices-testing, version control, and code review-across your projects.

Business Impact & Stakeholder Communication
  • Partner with cross-functional stakeholders to translate business challenges into AI solutions.

  • Support workshops and proofs-of-concept that demonstrate the value of LLM and agent use cases across business units.

  • Translate model outputs, data findings, and technical tradeoffs into clear insights for non-technical audiences.

Mentorship & Collaboration
  • Guide junior engineers on specific technical problems and code quality.

  • Contribute to design discussions and technical decisions within the team.

  • Share knowledge and help raise the bar on engineering and data science practices.

Qualifications & Experience
  • Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical or quantitative discipline.

  • 2-5 years of experience in software, data, ML engineering, or data science, including hands-on work with LLMs or generative AI.

  • Demonstrated success delivering data or ML pipelines and AI/ML solutions to production.

  • Experience with data science fundamentals-exploratory analysis, statistical modeling, or classic ML (classification, regression, forecasting).

  • Experience with cloud AI platforms such as Azure OpenAI/Azure ML, AWS SageMaker/Bedrock, or Google Cloud Vertex AI.

Technical Expertise
  • Strong proficiency in Python and SQL, with good software engineering habits-testing, version control, and clean code.

  • Hands-on experience with the Generative AI stack: prompt engineering, fine-tuning (e.g., LoRA), LLM orchestration, and agent frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework).

  • Experience building ETL and ML pipelines and applying MLOps practices (CI/CD, Docker, model serving).

  • Familiarity with data science libraries and workflows-pandas, scikit-learn, and model evaluation and experimentation.

  • Experience with JCI's stack-or comparable platforms-including Palantir AIP, Azure ML, Microsoft Agent Framework, Power Automate, and Snowflake.

  • Working knowledge of embeddings, vector databases, and retrieval systems.

Soft Skills
  • Ability to own projects and communicate progress, risks, and tradeoffs clearly.

  • Strong collaboration skills across product, engineering, and business teams.

  • Comfortable presenting technical and analytical work to both technical and non-technical stakeholders.

  • Self-directed problem solver who manages priorities independently.

Preferred Qualifications
  • Experience with IoT, edge analytics, or smart building systems.

  • Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.

  • Data science depth-statistical modeling, experimentation, or deep learning (forecasting, computer vision, or NLP).

  • Experience with the Microsoft ecosystem (Microsoft 365 Copilot, SharePoint, Power Platform, Snowflake).

  • Knowledge of data privacy and governance considerations for enterprise LLM usage.

Additional Information
Work Location & Arrangement: Glendale, WI, hybrid
Sponsorship: Johnson Controls will not sponsor applicants for work visas or provide immigration-related employment sponsorship for this position, now or in the future.
HIRING SALARY RANGE: $85,000 - $110,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at ;br>
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

What Johnson Controls employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Johnson Controls logo

About Johnson Controls

Sourced by ZipRecruiter

Johnson Controls is a world leader in smart buildings, creating safe, healthy and sustainable spaces. For nearly 140 years, we’ve made buildings better and now we’re transforming them again with our award-winning digital technologies and services. We’re using artificial intelligence and data driven solutions to give you deeper insight into your building’s health, sustainability and performance. It’s changing the way we design, operate and maintain indoor environments and driving to a new era of autonomous buildings. We deliver the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, hotels, manufacturing and beyond through OpenBlue, our comprehensive suite of connected solutions. Johnson Controls offers the world’s largest portfolio of building technology, software and services. Supported by a team of more than 100,000 dedicated employees working across 150 countries, we’re helping customers achieve their sustainability goals and power their mission.

Industry

Machinery manufacturing, water transportation, public safety statistics centers and offices and manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

View All Johnson Controls Jobs

Apply