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Python Ml Developer Jobs in Wheat Ridge, CO (NOW HIRING)

Sr. Staff AI/ML Engineer

Denver, CO · On-site

$245K - $272K/yr

Strong Python skills and sound software engineering fundamentals - testing, code review, CI/CD, reliability, and API design. * Proven track record shipping impactful AI/ML projects to production ...

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

In this hybrid role, you'll collaborate closely with designers, ML engineers, and software experts ... Python skills with experience writing production-quality code and working with deep learning ...

... Senior Software Engineer to design, build, deploy, monitor, and optimize production-ready ML ... Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). * Experience with unit ...

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Python Ml Developer information

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$14

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$91

How much do python ml developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python ml developer in Wheat Ridge, CO is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $51.35 and $70.77 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What job categories do people searching Python Ml Developer jobs in Wheat Ridge, CO look for? The top searched job categories for Python Ml Developer jobs in Wheat Ridge, CO are:
What cities near Wheat Ridge, CO are hiring for Python Ml Developer jobs? Cities near Wheat Ridge, CO with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Wheat Ridge, CO as of July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $129,580 per year, or $62.3 per hour.
Principal AI/ML Engineer

Principal AI/ML Engineer

Sierra Nevada Corporation

Lone Tree, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

18th of 61 rated aerospace companies


Job description

In this role, you will help shape the long-term AI/ML technical vision for the organization, guide high-impact R&D initiatives, and lead the development of advanced autonomy, perception, analytics, and generative AI capabilities. You will be responsible for setting technical direction across multiple simultaneous efforts, defining architectural standards, and ensuring that JTF Sierra's prototypes and initiatives represent industry-leading innovation. This role requires exceptional technical depth, the ability to operate with extreme autonomy, and the leadership presence to influence engineering culture, collaborate with program leadership, mentor staff, and represent the team to senior executives, customers, and external partners.The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems. Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries.

Role Expectations Specific to JTF Sierra

  • Translate broad mission objectives into program-level AI/ML architectures, strategies, staffing plans, data approaches, and technical frameworks.

  • Drive system-level AI/ML decision-making by establishing technical standards and guiding engineering trade studies that shape platform-level autonomy and perception capabilities.

  • Identify and champion high-value R&D opportunities, emerging technologies, and cross-organizational partnerships that accelerate SNC's AI/ML advancements.

  • Provide deep technical consultation across JTF Sierra and adjacent Business Unit product lines, ensuring architectural coherence and consistent technical excellence.

  • Ensure AI/ML solutions are architected for scalability and seamless integration with enterprise-wide platforms. Collaborate with IT and infrastructure teams to define and implement the necessary tools, data pipelines, and computing resources to support sustainable AI/ML operations across the organization.

  • Balance program-specific AI/ML solution development with the strategic creation of reusable frameworks, shared data assets, and foundational infrastructure that enable cross-program and enterprise-wide AI/ML adoption.

Responsibilities:

  • Lead design and technical direction for next-generation architectures spanning deep learning, reinforcement learning, multimodal generative AI, and advanced perception/decision systems

  • Architect and oversee end-to-end multi-program AI/ML systems across platforms and embedded systems

  • Assist with development of long-term technical strategies, roadmaps, and requirements for emerging AI/ML initiatives

  • Identify, define, and advocate for the foundational data, compute, MLOps, and cloud/on-prem infrastructure necessary to support sustainable and secure AI/ML development and deployment across JTF Sierra and related business units.

  • Establish and promote best practices for the full AI/ML lifecycle-including data management, model versioning, CI/CD for ML, monitoring, and continuous improvement-to ensure reliable deployment and operation of AI/ML models in production.

  • Oversee multiple development streams, providing technical reviews, risk assessments, and mitigations plans

  • Shape system-level behavior and engineering tradeoffs when requirements are ambiguous

  • Lead development of simulations, sensor fusion models, vision models, and planning/decision algorithms

  • Represent JTF Sierra to leadership, customers, and partners (assist in developing and presenting briefings, demos, high-level technical presentations, etc)

  • Establish adaptive, agile AI/ML validation, verification, and safety frameworks for proof-of-concept level mission-critical systems

  • Evaluate and introduce emerging technologies (examples: transformers, RLHF, edge AI, XAI, GPU acceleration)

  • Partner with Program Manager and Project Engineer to define staffing, data, schedules, and resources required to execute JTF Sierra technical initiatives

  • Coach and develop engineering talent, raising JTF Sierra's overall AI/ML capabilities

Qualifications You Must Have:

  • Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related STEM field

  • 14+ years of experience in AI/ML or related fields, or 16+ years without a degree

  • Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture

  • Proven experience architecting and deploying mission-critical and/or large-scale AI/ML systems

  • Strong proficiency in Python, C++, C#, and/or Java with experience building scalable Machine Learning systems

  • Experience providing technical leadership across teams, projects, or programs

  • Ability to define technical strategies, influence senior stakeholders, and make organization-level architecture decisions

  • In-depth experience with aerospace/defense-relevant regulatory and cybersecurity considerations

  • Demonstrated ability to mentor and grow engineering talent within an organization

Qualifications We Prefer:

  • Advanced degree (MS or PhD) in AI/ML or related field

  • Experience applying AI/ML to autonomy, multimodal sensor fusion, or embedded/real-time platforms

  • Experience establishing or scaling ML engineering standard (MLOps, validation frameworks, data management)

  • Expertise with GPU acceleration, CUDA/TensorRT, or parallel computing

  • Publications, patents, or thought leadership in AI/ML

  • Familiarity with edge AI, explainable AI (XAI), or emerging/advanced ML topics

  • Experience translating high-level mission objectives into complex AI/ML system architectures (HMI scenarios, autonomy stacks)

Essential Functions:

  • Define and lead complex AI/ML projects across multiple programs

  • Collaborate in a hybrid environment while supporting rapid demonstration timelines

  • Travel 10-30% for R&D, customer and partner engagement, field testing, and conferences

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $165,010.21 - $226,889.04. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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