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Model Predictive Control Jobs in Florida (NOW HIRING)

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

Subway

Data Scientist - FP&A

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

New

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

Subway

Data Scientist - FP&A

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

New

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Apply a variety of advanced analytical techniques including predictive modeling, machine learning ... Solid understanding of software development best practices (version control, testing, code reviews ...

USAA Careers

Data Scientist (Mid-Level)

Tampa, FL · On-site

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 ...

USAA

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

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 ...

USAA

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

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 ...

USAA Careers

Data Scientist (Mid-Level)

Tampa, FL · On-site +1

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 ...

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Showing results 21-40

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Florida

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 Florida?

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

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

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

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

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

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Manufacturing Engineer - Automation & Digitalization

Gibsonton, FL • On-site

Siemens Energy, Inc.
Engine, Turbine, and Power Transmission Equipment Manufacturing • 10K+ employees
Learn more about Siemens Energy, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

Job description

A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
  • Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
  • Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
  • Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
  • Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
  • Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
  • Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
  • Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
  • Manage automation project lifecycles from requirements gathering through deployment and post‑implementation support.
  • Build and maintain scalable data pipelines for collecting, cleaning, and processing high‑volume industrial data.
  • Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
  • Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.
What You Bring
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
  • Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
  • Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
  • Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem‑solving in cross-functional environments.
  • Candidates with more experience can be considered for a higher level or vice versa.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
  • This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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