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Model Predictive Control Jobs in Illinois (NOW HIRING)

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$59K - $60K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

UL Solutions

Associate Data Scientist

Northbrook, IL · Hybrid

$60K - $60K/yr

... predictive models, data-driven and AI solutions for laboratory, field engineering, and ... Exposure to cloud platforms (Azure preferred) and version control (Git/GitHub) is a plus. * Strong ...

Formic

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Design and implement preventative and predictive strategies that improve system reliability * Lead ...

Formic

Controls & Automation Engineer

Chicago, IL · On-site

$86K - $113K/yr

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Design and implement preventative and predictive strategies that improve system reliability * Lead ...

MessageControl

Data Scientist

Chicago, IL

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

MessageControl

Data Scientist

Chicago, IL · On-site

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Caterpillar Inc.

Lead Data Engineer

Peoria, IL · On-site

$100K - $132K/yr

... models and deliver actionable insights • Analyze large, complex datasets to identify trends ... update, control, or enhance existing business or work processes. Preferred : • Hands-on ...

Caterpillar Inc.

Lead Data Engineer

Peoria, IL · On-site

$100K - $132K/yr

... models and deliver actionable insights • Analyze large, complex datasets to identify trends ... update, control, or enhance existing business or work processes. Preferred : • Hands-on ...

Vizient, Inc.

Lead Data Scientist

Chicago, IL · On-site

$117K - $206K/yr

You will guide data scientists, lead the design of predictive, machine learning, and generative AI ... Experience implementing model governance practices such as documentation standards, version control ...

Sunrun

Regional Safety Manager

Olive Branch, IL

Our vertically integrated model gives us total control over every part of the energy lifecycle ... Predictive Modeling: Partner with Data Science/IT teams to implement AI tools that analyze ...

Guidehouse

AI / Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... control, testing, and secure development practices. What Would Be Nice To Have * Experience ... Experience with AI-enabled analytics, predictive modeling, forecasting, scenario analysis, workflow ...

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Illinois

Model Predictive Control information

What is Model Predictive Control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with Model Predictive Control (MPC) systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a Model Predictive Control (MPC) Engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in Illinois? For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Illinois look for? The top searched job categories for Model Predictive Control jobs in Illinois are:
What cities in Illinois are hiring for Model Predictive Control jobs? Cities in Illinois with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Illinois as of June 2026, with employment types broken down into 2% As Needed, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Motion Recruitment

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

Our client in the industrial distribution space is hiring for a full time Machine Learning Manager in the Chicago area. This organization is a large, well established global distributor that quietly powers millions of businesses every day through technology, logistics, and data. *This role is hybrid in downtown Chicago a few times a month*
Our client is looking for a leader who combines genuine technical depth with the vision to build and scale a world class ML team. You’ll own the end-to-end relationship with business partners translating complex challenges into production ready ML solutions across classification, NLP, deep learning, time series forecasting, and optimization while also shaping the culture, roadmap, and infrastructure your team works within. This is not a role for someone who just manages; you’ll still be hands on with model design, MLOps practices, and emerging AI research. If you’re energized by driving real business impact through applied ML at significant scale, this is a career defining opportunity for you.
Required Skills & Experience
  • BS, MS or PhD in Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, or Engineering
  • 5+ years of hands-on experience delivering production-grade machine learning solutions at scale
  • Previous experience leading, mentoring, and developing a high-performing ML/AI team
  • Advanced proficiency in Python and SQL; hands-on experience with ML frameworks such as scikit-learn, PyTorch, and TensorFlow
  • Solid understanding of MLOps practices including MLflow, model registry, drift monitoring, and hyperparameter optimization
  • Proven ability to apply deep learning and transformer-based modeling methods in production; familiarity with LLMs, diffusion models, or generative AI
  • Excellent communication skills — able to convey technical concepts clearly to both technical and business audiences, including executives
Desired Skills & Experience
  • Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git)
  • Experience building interactive, model-driven applications using React, Streamlit, or similar frameworks
  • Experience with databases at scale including Teradata, Snowflake, and S3
  • Background in optimization, simulation, or decision-science techniques to complement predictive modeling
  • Proven ability to lead cross-functional collaborations and influence both technical and business stakeholders
What You Will Be Doing
Tech Breakdown
  • 50% Python and SQL
  • 50% Machine learning frameworks
Daily Responsibilities
  • 50% Hands On
  • 50% Management Duties

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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