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Model Predictive Control Jobs in Colorado (NOW HIRING)

AI/ML Engineer II

Lone Tree, CO ยท On-site

$99K - $136K/yr

Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance ... models for applications such as object detection, signal processing, predictive analytics, and ...

AI/ML Engineer II

Lone Tree, CO ยท On-site

$99K - $136K/yr

Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance ... models for applications such as object detection, signal processing, predictive analytics, and ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

Reliability Engineer II

Englewood, CO ยท On-site

$98K - $122K/yr

The role is responsible for overseeing management of the preventative and predictive maintenance of ... Statistical process control * Reliability modeling and prediction * Root cause analysis (RCA) and ...

This is a high-ownership role at the intersection of causal inference, predictive modeling, and ... control, propensity scoring) * Familiarity with data visualization libraries (e.g. matplotlib ...

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 Colorado?

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

What cities in Colorado are hiring for Model Predictive Control jobs?

Cities in Colorado with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

AVP, Machine Learning & Modeling

Centennial, CO โ€ข On-site

Vizient, Inc.
Health Care and Social Assistanceย โ€ขย 501 - 1,000 employees

$156K - $290K/yr

Full-time

Posted 15 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

In this role, you will lead the design, development, and implementation of advanced analytics, statistical modeling, and artificial intelligence solutions to drive data-informed decision-making across the enterprise. Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable solutions that support strategic business objectives, operational excellence, and client value creation. Serve as a key thought leader, guiding the organization's data science strategy, ensuring model governance and compliance, and advancing the use of cutting-edge machine learning methodologies.

Role Responsibilities: Strategic Leadership and Vision Provide strategic direction for the organization's machine learning and modeling initiatives. Develop and execute a roadmap for data-driven innovation aligned with corporate goals and emerging technologies in AI, predictive analytics, and optimization. Model Development and Deployment Oversee the design, development, and validation of statistical, econometric, and machine learning models that support forecasting, risk assessment, operational efficiency, and client performance improvement.

Ensure model accuracy, interpretability, and ethical use of data. Model Governance and Compliance Establish and maintain robust model governance frameworks, including documentation, version control, validation, and ongoing performance monitoring. Partner with risk management and compliance teams to ensure adherence to regulatory and ethical standards.

Team Development and Leadership Lead and mentor a multidisciplinary team of data scientists, ML engineers, and quantitative analysts. Foster a culture of innovation, continuous learning, and collaboration while ensuring alignment with business priorities and project timelines. Cross-Functional Collaboration Collaborate with business leaders, IT, and analytics stakeholders to identify opportunities for data science applications that drive measurable business outcomes.

Translate complex analytical results into actionable insights for executive decision-making. Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and scalability.

Promote experimentation and best practices in applied data science. Requirements: Bachelors or Masters or Doctorate degree in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Economics, or a related quantitative field preferred Expertise in machine learning, deep learning, and statistical modeling techniques (e.g., regression, time series, NLP, ensemble methods, neural networks). Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML, Databricks, etc.) Knowledge of ML Ops, model governance, and lifecycle management best practices

Demonstrated ability to translate business problems into analytical frameworks and deliver measurable outcomes. Excellent leadership, communication, and stakeholder management skills, with the ability to present complex findings to non-technical audiences. Proven experience building and leading high-performing data science teams in a large, matrixed organization.

Familiarity with healthcare, financial, or operational analytics. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range.

Compensation decisions are tailored to individual circumstances. The current salary range for this role is $156,500.00 to $290,100.00. This position is also incentive eligible

Vizient has a comprehensive benefits plan. Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.