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Python Ml Developer Jobs in Colorado (NOW HIRING)

Gusto, Inc.

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 ...

Maximus

AI/ML Software Developer

Denver, CO · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Maximus

AI/ML Software Developer

Greeley, CO · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Maximus

AI/ML Software Developer

Thornton, CO · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Maximus

AI/ML Software Developer

Aurora, CO · Remote

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Apple

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167.50K/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 ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

Experience with programming in Python, R, or other relevant languages * Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras * Experience with Large ...

Cleerly

Sr. Software Engineer - ML Systems

Denver, CO

$176K - $206K/yr

... 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 ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

Experience with programming in Python, R, or other relevant languages * Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras * Experience with Large ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO

Experience with programming in Python, R, or other relevant languages * Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras * Experience with Large ...

Eliassen Group

Python MLOps Engineer

Almont, CO · On-site +1

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

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Python Ml Developer information

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 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.

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 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.

What are popular job titles related to Python Ml Developer jobs in Colorado? For Python Ml Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Colorado look for? The top searched job categories for Python Ml Developer jobs in Colorado are:
What cities in Colorado are hiring for Python Ml Developer jobs? Cities in Colorado with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Colorado as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.
Sr. Staff AI/ML Engineer

Sr. Staff AI/ML Engineer

Gusto, Inc.

Denver, CO • On-site

$245K - $272K/yr

Full-time

Posted 9 days ago

Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) - because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
  • You'll design, build, and scale the AI platform that empowers Gusto's internal teams to build intelligent agents and deliver customer value. This includes developing core platform capabilities - agent orchestration, RAG infrastructure, eval tooling, model serving, prompt management, observability, and safety guardrails - that enable product teams to rapidly build, test, and ship AI-powered experiences. You'll own the full lifecycle from problem framing to production deployment, ensuring the platform is reliable, performant, and easy to adopt. As a Staff MLE, you'll also shape technical standards, drive architectural decisions, and mentor engineers across the organization.

About the Team:
  • You'll join the CoreX AI Platform team, responsible for building the foundational AI infrastructure that Gusto's internal app teams rely on to create and ship intelligent agents. We're a small, high-impact group of ML engineers and platform builders working closely with Product Engineers, PMs, and Designers across the company. We move fast, prototype boldly, and focus on making it easy for any team a

What you'll do day-to-day:
  • Design and build scalable platform services - agent orchestration, RAG pipelines, eval frameworks, model serving - that internal teams use to ship AI-powered products.
  • Lead technical strategy and architecture for the AI platform, including model lifecycle, observability, safety guardrails, and evaluation infrastructure.
  • Collaborate cross-functionally with app teams, PMs, and Designers to understand their AI needs and deliver platform capabilities that unblock them.
  • Build, harden, and operate shared infrastructure that powers intelligent agents across Gusto (e.g., retrieval, routing, prompt management, content selection).
  • Stay current with AI/ML research; rapidly prototype and productionize new techniques that strengthen the platform.
  • Establish robust practices for validation, deployment, monitoring, and ongoing performance management of platform services and the agents built on them.
  • Communicate technical strategy, tradeoffs, and impact clearly to executives and non-technical partners.
  • Mentor engineers across teams, raising the bar on AI/ML best practices and fostering a culture of pragmatic innovation.

Here's what we're looking for
  • 12+ years building and deploying end-to-end AI/ML systems, with experience designing platform-level infrastructure that other engineering teams build on.
  • Deep expertise in one or more areas: LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning.
  • Hands-on experience building LLM-based applications and agentic workflows - including prompt engineering, retrieval design, evaluation, and production deployment.
  • Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure).
  • 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, ideally in a platform or infrastructure context.
  • Demonstrated ability to lead cross-functionally, influence technical direction, and communicate clearly with both engineers and non-technical stakeholders.
  • Ph.D. or Master's in CS, ML, Statistics, Mathematics, or related field is a plus.

Compensation
Our cash compensation amount for this role is targeted at $245,000-272,000 in Denver & most remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
#LI-DNI
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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