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Model Predictive Control Jobs in Illinois (NOW HIRING)

Data Scientist

Bloomington, IL · On-site

$110 - $151/hr

... predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and ...

... predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and ...

Data Scientist

Bloomington, IL · On-site

$110K - $151K/yr

... predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and ...

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using ... control, testing, and review practices Desired skills: Ability to work as part of a team and to ...

Reliability Engineer

Chicago, IL · On-site

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

Reliability Engineer

Chicago, IL · On-site

$105K - $132K/yr

Establish a strong governance to review & control Operational performance and continuous ... Role model Values and principles through effective coaching, mentoring and builds skills capability ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Build predictive models using large-scale financial, transactional, and behavioral datasets to ... Through our user-friendly tools and intuitive platforms, we empower our members to take control of ...

SVP, Technical Operations

Chicago, IL · On-site

$235K - $250K/yr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

SVP, Technical Operations

Chicago, IL · On-site

$185K - $239K/yr

... predictive modeling and analysis to identify high-probability interconnection locations for site acquisition. Ensure interconnection applications are submitted ASAP after gaining site control, to the ...

Showing results 41-60

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 are the typical challenges faced by engineers working with model predictive control 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 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 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 does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

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:

Infographic showing various Model Predictive Control job openings in Illinois as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

COUNTRY Financial

Bloomington, IL • On-site

$110 - $151/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


COUNTRY Financial rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

144th of 311 rated insurance


Job description

Experience more with a career at COUNTRY Financial!We’re excited you’re interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients.About the roleDevelops and analyzes business cases for analytic opportunities. Provides technical and quantitative support to build, test, validate and maintain predictive models. Analyzes business data to provide insight and recommendations. Applies statistical methods to formulate solutions to complex business problems.How does this role make an impact?- Engages with business to understand business problems to be solved. Helps business frame problems in a way that can be addressed with analytics. - Performs data mining and transforms raw data into actionable business information. - Develops and implements data-driven business solutions using advanced statistical methods and machine learning techniques. - Uses a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Validates model performance using the appropriate standards/error metrics. Manages version control and documentation of data. - Develops and produces supervised and unsupervised machine learning, forecasting and optimization.Do you have what we're looking for?Typically requires 7+ years of relevant experience or a combination of related experience, education and training.This position is part of a job family. Placement will be determined by skills and qualifications of the candidate.#LI-CORPBase Pay Range:$110,000-$151,250The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience.Incentive Pay:In addition to base salary, this position is eligible for a Short-Term Incentive plan.Why work with us?Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We’re a big company, yet small enough you can make an impact and won’t get lost in the shuffle. You’ll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business.You’ll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match.COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations.Come join our team at COUNTRY today! #J-18808-Ljbffr

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