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Scientific Machine Learning Jobs in Colorado (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107K - $147K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

The ideal candidate has a strong computer science foundation, hands-on experience developing production-ready machine learning models using TensorFlow and PyTorch , and a passion for researching and ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

DevIQ

Senior AI/Machine Learning Engineer

Denver, CO · On-site +1

$126K - $166K/yr

Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and ... Machine learning depth * 4+ years building, training, and deploying ML models in production ...

Lockheed Martin

$89K - $157K/yr

Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent ... Machine Learning, Deep Learning, Computer Vision, or Image Processing • Experience with modern ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Education: A degree in Computer Science, Statistics, or a comparable quantitative field.

Code, LLC

Director of AI & ML

Denver, CO · On-site

Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous learning. Technical ...

Code, LLC

Director of AI & ML

Denver, CO

Lead, mentor, and inspire a cross-functional team of data scientists, machine learning engineers, and AI specialists. Foster a culture of innovation, collaboration, and continuous learning. Technical ...

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Showing results 1-20

All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Colorado

Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Colorado? For Scientific Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Colorado look for? The top searched job categories for Scientific Machine Learning jobs in Colorado are:
Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Senior Data Scientist (TS/SCI with CI Poly Required)

Senior Data Scientist (TS/SCI with CI Poly Required)

DeNOVO Solutions LLC

Aurora, CO • On-site

$150K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Position: Senior Data Scientist
Location: Aurora, CO
Clearance: TS/SCI with CI Polygraph
Support Emerging Mission Needs and Help Shape DeNOVO's Data Science Capability
DeNOVO Solutions is seeking a Senior Data Scientist to help develop, refine, and strengthen our data science and mission-focused technical capabilities. This is a unique opportunity for a senior-level data scientist with a strong background in applied machine learning, data engineering, software development, secure deployment environments, and technical leadership. The ideal candidate will be comfortable working across research, development, architecture, deployment, and stakeholder engagement while helping shape practical AI/ML solutions for emerging mission needs.
Why You'll Love This Role:
  • Help develop and refine DeNOVO's broader data science capability
  • Work closely with DeNOVO's CEO in a highly visible role focused on capability growth and technical direction
  • Apply advanced data science, machine learning, data engineering, and software development experience to emerging mission needs
  • Help shape practical AI/ML solutions that support mission-focused opportunities
  • Work in a hands-on role that blends research, solution design, implementation, deployment, and stakeholder collaboration

A Day in the Life:
  • Help develop and refine DeNOVO's data science capability
  • Research, build, evaluate, and deploy machine learning and AI-enabled applications
  • Design and implement data science solutions that align with user needs, mission goals, and technical objectives
  • Communicate with technical and non-technical stakeholders to understand requirements, data landscapes, and solution goals
  • Provide technical recommendations to ensure data science and AI/ML solutions are practical, scalable, and aligned to stakeholder needs
  • Develop and support machine learning, generative AI, and LLM-based applications where applicable
  • Support semantic search, summarization, text extraction, classification, embedding analysis, and natural language processing use cases
  • Build scalable data pipelines and support data engineering workflows
  • Develop backend services, APIs, microservices, and data-driven applications
  • Support deployment of software and data science applications in commercial cloud and secure environments
  • Use containerization and orchestration technologies to package, deploy, and manage software components
  • Support MLOps, DevOps, and GitOps practices to improve repeatability, deployment efficiency, and lifecycle management
  • Develop visualizations, dashboards, and analytical tools to help communicate insights and recommendations
  • Collaborate with leadership, engineers, and stakeholders to identify opportunities for data science, automation, and AI/ML capability growth
  • Provide technical leadership, mentoring, and guidance to other technical contributors as needed
  • Create documentation, technical recommendations, and capability-development materials to support long-term growth

What You Bring to the Table:
  • Senior-level experience in data science, data engineering, machine learning, and software development
  • Experience researching, building, evaluating, and deploying machine learning and AI-enabled applications
  • Strong background with applied machine learning, including supervised and unsupervised learning approaches
  • Experience with generative AI, large language models, RAG, semantic search, summarization, text extraction, and NLP-related use cases
  • Experience building scalable data pipelines and supporting data engineering workflows
  • Experience developing APIs, microservices, backend services, and data-driven applications
  • Experience deploying software or data science applications in commercial cloud and secure environments
  • Experience with containerization, orchestration, and modern deployment practices
  • Familiarity with MLOps, DevOps, GitOps, Agile/Scrum, and modern software development methodologies
  • Strong communication skills with the ability to work with technical and non-technical stakeholders
  • Ability to provide technical leadership, mentorship, and solution guidance in a hands-on environment

What You Need:
  • Experience: 15 years of experience in data science, data engineering, machine learning, software development, or a related technical discipline
  • Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field preferred
  • Clearance: An active TS/SCI with CI Polygraph

Salary Range: $150,000.00 - $190,000.00 (Commensurate with experience)
Note: The above salary range is a guideline and represents a broad spectrum of potential compensation. We recognize that a candidate's unique experience and qualifications may justify compensation beyond this range. Therefore, we remain open to considering higher salary offers for exceptionally qualified candidates.
About Us: DeNOVO Solutions. We make improving the competitive position of our customer paramount in importance and work collaboratively to ensure the best service possible. DeNOVO Solutions provides cleared personnel and cost competitive solutions to our customers. We strive to be the leader amongst small businesses in the Intelligence Community and provide personnel with talent & skills equal to the larger companies.
Join Our Team! DeNOVO Solutions, LLC, a Minority Owned-Service Disabled Veteran Owned Small Business (MO/SDVOSB) dedicated to providing the best technical and professional services throughout the Intelligence Community (IC). We offer the following as part of our benefits package to all of our full-time employees:
  • Medical, Dental, and Vision Premiums 100% Employer Paid for you and your legal dependents or plus up, cost split plan.
  • DeNOVO Paid Health Reimbursement Account (HRA)
  • 401k with 6% Match
  • 11 Paid Federal Holidays
  • 120 hours of Paid Time Off (PTO)
  • Company Outings and Trips
  • Tuition Reimbursement, Skillset Training, and New/Renewed Certification assistance
  • HomeFundIt Company Down Payment Match - Employer match towards the down payment of buying a new home

DeNOVO Solutions is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.
Ready to Apply?
Join DeNOVO Solutions and help shape the data science capability supporting emerging mission-focused opportunities.
Pay Range: $150,000 - $190,000 per hour

Apply