1

Uncertainty Quantification Jobs in Colorado (NOW HIRING)

Experience with industry leading verification and validation practices, model uncertainty quantification, industry standard design of experiment processes, and application of statistical analysis of ...

Senior Machine Learning Engineer

Denver, CO · On-site

$107.50K - $147.70K/yr

... uncertainty quantification, or safety-critical ML validation Company : True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital ...

next page

Showing results 1-20

Uncertainty Quantification information

See Colorado salary details

$31.5K

$73K

$127.2K

How much do uncertainty quantification jobs pay per year?

As of Jun 1, 2026, the average yearly pay for uncertainty quantification in Colorado is $73,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $87,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Uncertainty Quantification Specialist, and why are they important?

To thrive as an Uncertainty Quantification Specialist, you need a strong background in applied mathematics, statistics, and computational modeling, often supported by an advanced degree in a quantitative field. Familiarity with programming languages such as Python or MATLAB, and experience with simulation tools and statistical analysis software, are typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals convey complex concepts to interdisciplinary teams. These skills are crucial for accurately assessing risks, making data-driven decisions, and improving the reliability of models in engineering, finance, or scientific research.

What are some common challenges faced by professionals in Uncertainty Quantification when working on multidisciplinary teams?

Professionals in Uncertainty Quantification (UQ) often collaborate with experts from fields like engineering, data science, and physics. A common challenge is communicating complex statistical concepts in an accessible way to team members without a quantitative background. Additionally, integrating uncertainty models into existing workflows and ensuring that all stakeholders understand how uncertainty impacts decision-making can be demanding. Effective UQ professionals are proactive in facilitating clear communication and tailoring their approach to fit the needs of diverse teams.

What is Uncertainty Quantification?

Uncertainty Quantification (UQ) is the science of quantifying, managing, and reducing uncertainties in computational models and real-world systems. It involves identifying sources of uncertainty in data, model parameters, and algorithms, then using statistical and mathematical methods to assess their impact on model predictions. UQ is essential in fields like engineering, finance, and environmental science to ensure that predictions and decisions are robust and reliable. Practitioners use techniques such as sensitivity analysis, probabilistic modeling, and Monte Carlo simulations to quantify and analyze uncertainties.

What is the difference between Uncertainty Quantification vs Data Scientist?

AspectUncertainty QuantificationData Scientist
Required credentialsAdvanced degrees in engineering, mathematics, or statisticsDegree in computer science, statistics, or related fields
Work environmentResearch labs, engineering firms, simulation-based industriesTech companies, finance, healthcare, and marketing
Industry usageEngineering, aerospace, manufacturing, scientific researchBusiness analytics, product development, predictive modeling

Uncertainty Quantification focuses on assessing and reducing uncertainty in models and simulations, often requiring advanced mathematical skills. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve statistics and data analysis, Uncertainty Quantification is more specialized in modeling uncertainties in engineering and scientific contexts, whereas Data Scientists work across diverse industries with a broader focus on data-driven insights.

What are popular job titles related to Uncertainty Quantification jobs in Colorado? For Uncertainty Quantification jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Uncertainty Quantification jobs in Colorado look for? The top searched job categories for Uncertainty Quantification jobs in Colorado are:
Computer Vision Analyst (Level II) - Top Secret clearance

Computer Vision Analyst (Level II) - Top Secret clearance

Lockheed Martin

Littleton, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 377 frontline employees who took The Breakroom Quiz

33rd of 59 rated aerospace companies


Job description

Job Description
About Lockheed Martin Space:
Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future.
At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We're erasing boundaries and forming partnerships across industries and around the world. We're advancing spacecraft and the workforce to fuel the next generation. And we're reimagining how space can connect us, ensuring security and prosperity.
Join us in shaping a new era in space and find a career that's built for you
About the Team:
You'll collaborate with some of the brightest minds in engineering to design and integrate pioneering capabilities that shape the future of our mission. Our high-impact, cross-functional team delivers cutting-edge perception solutions for a variety of mission-critical platforms. We specialize in classical computer-vision algorithms-feature detection, stereo matching, optical flow-while also integrating modern AI techniques such as semantic segmentation and learned feature representations. Every solution is engineered with the strict hardware constraints of resource-limited processors in mind, including the ultra-low-power, radiation-hardened CPUs typical of space-borne systems.
About the Role:
We are seeking a motivated engineer to develop and support the end to end digital simulation platform. The ideal candidate will:
• Operate and update the simulation
• Conduct statistical analysis & uncertainty quantification via Monte-Carlo simulations, Design-of-Experiments (DoE), sensitivity testing, and algorithm-level error modeling
• Develop interactive dashboards, generate plots/reports for stakeholders, and tailor visual output for different audiences
• Define test cases, compare simulation results against analytical/ground-truth data, document V&V evidence, and support formal review packages
• Debug computer-vision algorithm performance in the simulation by debugging the underlying code and using visualizations to diagnose issues
Collaborate with embedded-hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream toolchains
Generally has 1+ years of related experience and may have a post-secondary degree or training in a related discipline.
Basic Qualifications
Skill Requirements:
• Proficiency in Python (including libraries such as NumPy, SciPy, Pandas, and Bokeh)
• Understanding of Statistical Methods (Monte-Carlo, basic uncertainty quantification)
• Ability to generate clear visualizations and communicate results to both technical and non-technical audiences
• Experience with Linux development environments and shell scripting
• Proficiency in C++, including the ability to read, maintain, and/or extend C++ codebase
Security Clearance / Work Authorization:
• To meet requirements of the program/customer, this position requires the selected employee to be a U.S. Citizen.
• Active Top Secret security clearance is necessary for consideration and is required prior to start.
Desired skills
• Bachelor's degree in Computer Science, Aerospace Engineering, Mathematics, or a related technical field (or equivalent professional experience) with 1+ year(s) of relevant experience
• Experience with MATLAB
• Foundational knowledge of core algorithms used in computer-vision and signal-processing (e.g., feature extraction, optical flow, SLAM, matrix factorization, optimization, linear-algebra routines)
• Docker - experience containerizing applications for reproducible builds and testing
• CI/CD pipelines - familiarity with GitLab CI or similar tools for automated testing and deployment
Requirements verification
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $89,300 - $157,435. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $102,700 - $177,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lockheed Martin logo

About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912