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Senior Meta Machine Learning Jobs in Highlands Ranch, CO

Cultivate organizational excellence by mentoring senior technical talent, fostering research ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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 ...

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

General Information

Denver, CO · On-site

$145K - $175K/yr

Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI ... The targeted base salary pay range for the Senior Consultant role is $145,000 to $175,000. In ...

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques ...

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Senior Meta Machine Learning information

See Highlands Ranch, CO salary details

$26.2K

$84.3K

$171.6K

How much do senior meta machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior meta machine learning in Highlands Ranch, CO is $84,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $108,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Highlands Ranch, CO? For Senior Meta Machine Learning jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What cities near Highlands Ranch, CO are hiring for Senior Meta Machine Learning jobs? Cities near Highlands Ranch, CO with the most Senior Meta Machine Learning job openings:
Senior Data Scientist (TS/SCI with CI Poly Required)

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

DeNOVO Solutions

Aurora, CO • On-site

$150K - $190K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 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 amp; 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.