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Model Predictive Control Jobs in Virginia (NOW HIRING)

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

We are looking for talentedData Scientists to join our team and deliver generative and predictive ... models * Strong programming skills in Python required. Experience in java and html a plus.

... control repositories. • Employ data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Experienced with knowledge ...

... control repositories. • Employs data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Strong experience with ...

... control repositories. • Employ data science techniques to support predictive analysis, social ... modeling, data mining, statistical analysis, and ML algorithms. • Experienced with knowledge ...

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

... analytics models, and machine-learning solutions to support process automation and predictive ... Support the creation and enforcement of data governance, metadata, and access-control frameworks in ...

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi ... Proficiency with Git and collaborative version control workflows * Ability to read and write REST ...

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Showing results 1-20

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 Virginia? For Model Predictive Control jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Virginia look for? The top searched job categories for Model Predictive Control jobs in Virginia are:
What cities in Virginia are hiring for Model Predictive Control jobs? Cities in Virginia with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Virginia as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution.

Principal Data Analyst/ Developer/Engineer

JANSON

Fairfax, VA • On-site

Full-time

Re-posted 14 days ago


Job description

Description:

The Principal Data Analyst analytics delivery, instructional design, and technical mentorship for Army Vantage enablement. This position will serve as the primary integrator between operational needs, analytics solutions, and training delivery.

This position requires the ability to obtain and maintain a U.S. Government security clearance, which requires U.S. citizenship. Candidates without an active clearance may perform unclassified preparatory work while clearance processing is underway.


Location: Wiesbaden, Germany

Start: Immediately

Clearance: Secret or Higher

Key Requirements


  • Secret Security Clearance: active or eligibility to obtain and maintain
  • Ability to operate in classified and unclassified environments, including NIPRNet systems
  • Strong written and verbal communication skills for military and civilian interaction
  • Willingness to travel up to 10% for in-person training and operational support
  • Demonstrated ability to learn new tools, workflows, and operational contexts
  • Team-oriented and capable of collaborating with diverse Army and contractor personnel


Responsibilities

  • Lead delivery of prototype-level predictive analytics and dashboards
  • Serve as primary instructor for ORSA-level and advanced analytics training
  • Guide development of reusable analytics patterns and standards
  • Mentor mid-level and junior personnel
  • Ensure analytics products are instructional, reusable, and sustainment-ready
  • Design and oversee delivery of Army Vantage–specific training curricula aligned to defined USAREUR-AF personas (executives, staff, analysts, ORSAs)
  • Serve as lead instructor for advanced training events, including ORSA training and executive-level courses
  • Ensure training materials emphasize Army Vantage workflows, permissions, classification, and reuse, not generic analytics tools
  • Review and approve training content developed by mid-level and junior staff for technical accuracy and instructional quality
  • Lead development of instructional analytics products, ensuring dashboards, workflows, and predictive analytics are suitable as teaching exemplars
  • Guide incorporation of data lineage, version control, and collaborative development practices into all training demonstrations
  • Mentor mid-level personnel on instructional techniques, classroom delivery, and facilitation of Army training events
  • ·Serve as primary technical advisor supporting Data program design and execution
  • Ensure training events support organizational change objectives and reinforce adoption milestones outlined in the SOW
  • Lead after-action reviews (AARs) for training events and incorporate feedback into subsequent deliveries


Minimum Qualifications


  • Master’s degree in Computer Science, Data Science, Engineering, Operations Research, Information Systems, or related technical field7–10 years of experience in analytics, data engineering, software development, or operational research
  • 2+ years delivering analytics or data products using an enterprise analytics platform (e.g., Palantir Foundry, Army Vantage, Databricks, Snowflake, or cloud-based analytics platforms)
  • Strong proficiency in Python and SQL
  • Experience developing dashboards, data pipelines, or analytical workflows that support operational decision-making
  • Demonstrated experience teaching, mentoring, or leading technical personnel or delivering structured training
  • Experience using Palantir Foundry or Army Vantage (preferred)


Preferred Qualifications


  • Prior experience with Palantir Foundry or Army Vantage
  • Familiarity with version control (Git), data lineage, and reproducibility practices
  • Knowledge of PII/PHI handling, DoD security practices, and classification workflows
  • Exposure to predictive analytics or statistical modeling
  • Experience supporting organizational change, analytics adoption, or analytics enablement initiatives


JANSON’S COMMITMENTJANSON is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join us in delivering signature excellence—where precision meets purpose


Requirements: