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Model Predictive Control Jobs in Kentucky (NOW HIRING)

... to ensure model fidelity and predictive accuracy. * Conduct process optimization studies ... control narratives, etc.) Our culture is built on four principles: Everyone Gets Home Safe. We ...

Develop predictive models for areas such as revenue, expenses, headcount, bookings, customer ... CD, code review, and version control * Experience working in a large, global, or matrixed ...

$63K - $80K/yr

... C playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and ... Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive ...

$84K - $101K/yr

This role partners closely with the Commercial Data Science team to integrate predictive models ... Familiarity with cloud services/model execution environments (e.g., AWS) and version control ...

Familiar with overfitting and multiple testing control methods, such as cross-validation and random resampling techniques. Familiar with machine learning and predictive modeling methods. Additional ...

Implement predictive maintenance APIs that integrate with manufacturing systems to predict ... Design data models for supply chain entities: suppliers, SKUs, inventory levels, production ...

... model. * Architect AI enrichment, opportunity scoring, similarity matching, and predictive ... Establish governance for data quality, privacy, lineage, explainability, and cost control. * Work ...

KY · On-site

... control findings, and staffing utilization. * Identify and assess data risks, including data ... Strong understanding of forecasting, trend analysis, outlier detection, predictive modeling, and ...

... control findings, and staffing utilization. * Identify and assess data risks, including data ... Strong understanding of forecasting, trend analysis, outlier detection, predictive modeling, and ...

Build and deploy statistical and predictive models. * Consultation: Work cross-organizationally to ... validation, and control. Collaborate with business stakeholders to ensure sound data and ...

$220K - $260K/yr

Build and validate system models in MATLAB/Simulink/Stateflow for control development and ... Analyze field data to refine predictive models for battery degradation and performance over time. ...

$147K - $274K/yr

Applies predictive models, third party data, and other tools to develop and execute appropriate ... control functions as appropriate. Interacts with regulators, internal audit, and management ...

$58K - $79K/yr

... hydraulic modeling, river/stream/habitat restoration and fish passage, pollution control and ... principles, predictive models, spreadsheets, and tools. * Proven track record of upholding ...

Showing results 21-40

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 are popular job titles related to Model Predictive Control jobs in Kentucky?

For Model Predictive Control jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Kentucky look for?

The top searched job categories for Model Predictive Control jobs in Kentucky are:

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

LifeMade - Manager, Reliability Automation

Erlanger, KY

jadex
Plastics Product Manufacturing • 1 - 5K employees

Full-time

Re-posted 2 days ago


Job description

Position Summary

Leads plant maintenance, equipment reliability, automation, and controls across a 24/7 injection molding operation. Responsible for maximizing machine uptime and overall equipment effectiveness (OEE), reducing maintenance cost, and advancing the facility from a reactive maintenance model to a proactive and predictive one. Directs maintenance and controls technicians, manages outside vendors and service partners, and drives automation that improves equipment capability, extend asset life, and support the production needs of the facility.

Primary Functions
  • Lead all preventive, predictive, and corrective maintenance activities to maximize machine uptime and overall equipment effectiveness (OEE).
  • Develop and implement machine reliability strategies that reduce downtime and extend asset life across the press fleet, automation, and plant auxiliaries.
  • Manage maintenance technicians, controls technicians, and outside contractors through thorough job analysis, proper job assignments, training and development, and effective personnel management.
  • Oversee automation and controls systems, including PLCs, HMIs, servo and robotics, vision systems, and end-of-line automation.
  • Develop, implement, and continually improve the preventive and predictive maintenance program for all equipment, advancing the facility toward a proactive maintenance model.
  • Analyze downtime data and lead root-cause corrective action using a systematic, data-driven approach.
  • Build predictive maintenance capability using condition monitoring, vibration analysis, and thermography.
  • Manage maintenance budgets, spare parts inventory, and capital improvement projects.
  • Maintain plant auxiliaries in partnership with outside vendors to improve system capability and reliability, and develop cost-effective plans that extend system life.
  • Evaluate facility equipment needs and make recommendations for improvement in new and existing technology, including equipment purchases, ensuring timely ordering and installation ahead of customer requirements.
  • Develop training and development recommendations for self and direct reports to keep all personnel current with the latest technologies.
  • Ensure compliance with OSHA, safety, environmental, quality, and ISO requirements, and manage in a proactive, professional manner consistent with all company policies and directives.
  • Proactively support continuous improvement and lean manufacturing initiatives.
  • Performs such individual assignments as management may direct. Other duties as assigned.
Key Qualifications
  • Bachelor’s degree in Engineering, Engineering Technology, Industrial Maintenance, or related field preferred.
  • 7+ years of manufacturing maintenance experience with Injection Molding.
  • 3+ years of leadership experience managing maintenance teams.
  • Strong knowledge of PLC control and programming, HMIs, VFDs, servo systems, robotics, and industrial networking.
  • Experience with reliability-centered maintenance (RCM), total productive maintenance (TPM), and predictive maintenance programs.
  • Proven success reducing downtime and improving equipment reliability.
Preferred Experience
  • Injection molding, packaging, food processing, or high-speed manufacturing environments.
  • Multi-platform press fleets (Netstal, Arburg, Sumitomo) and integrated automation.
  • CMMS systems
  • Six Sigma, Lean Manufacturing, or reliability certifications such as CMRP or CRL.
 Physical Requirements

  The conditions herein are representative of those that must be met by an employee to       successfully  perform the essential functions of this job.

    • Must be able to lift/carry up to 50lbs
    • Must be able to push/pull up to 40lbs
    • Must be able to stand and carry consistently.
    • Ability to wear required PPE including hearing protection, safety glasses, and safety toed shoes
    • Must be able to work near/with machinery and hand tools
    • Must have adequate abilities to hear, see and speak.
    • Moderate exposure to cold, heat, & noise