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Python Jobs in Denver, CO (NOW HIRING)

Python Private Tutoring Jobs

Aurora, CO · On-site

$51 - $70.25/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Python Private Tutoring Jobs

Denver, CO · On-site

$51.75 - $71.25/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Python Private Tutoring Jobs

Thornton, CO · On-site

$50.75 - $69.75/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Strong proficiency in Python and microservicesbased architectures * Handson experience with AWS cloud infrastructure * Production experience with CI/CD , Terraform , and Kubernetes * Experience ...

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Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data. ● Cloud Operations: Deploy and monitor high-scale data workloads on ...

Showing results 21-40

Python information

See Denver, CO salary details

$13

$60

$88

How much do python jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python in Denver, CO is $60.44, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $68.65 per hour, depending on experience, location, and employer.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What are the most commonly searched types of Python jobs in Denver, CO? The most popular types of Python jobs in Denver, CO are:
What cities near Denver, CO are hiring for Python jobs? Cities near Denver, CO with the most Python job openings:
Infographic showing various Python job openings in Denver, CO as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 2% Part Time, and 6% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $125,711 per year, or $60.4 per hour.

Technology Lead | OpenSystem | Python - OpenSystem

Spruce Infotech

Englewood, CO • On-site

$138K - $169K/yr

Full-time

Posted 2 days ago

New


Job description

Job title: AI Engineer (CAN submit Visa dependent profiles)
Work Location: Denver(CO)
Vendor Rate: XXX USD
Minimum years of experience: 8 TO 10
Would you require the candidates to meet you for in person interview? NO
Is Skype/WebEx interview,OK? OK
Is this onsite/remote position: ONSITE
If onsite, will you be considering relocation candidates: Yes
Does this position require Visa independent candidates only? No
Job Description:
Role Overview
We are looking for a Senior AI / GenAI Engineer with strong experience in production-grade ML systems, Generative AI (LLMs, RAG, Agents), and enterprise automation. The ideal candidate will have hands-on expertise in deploying scalable AI systems, ensuring reliability, monitoring, and governance, and working across domains such as healthcare or enterprise IT operations.
Key Responsibilities
1. GenAI & LLM Engineering
Design and implement RAG pipelines using vector stores (Pinecone, FAISS, etc.)
Build and deploy LLM-based applications using OpenAI, Claude, LLaMA, or similar
Develop multi-agent systems (LangChain, LangGraph, CrewAI, Autogen)
Optimize prompts, retrieval strategies, and model performance for production use
2. ML Engineering & Data Science
Build and deploy ML models across:
Classification, Regression, NLP, Time-series, and Anomaly Detection
Perform EDA, feature engineering, and experiment design
Implement A/B testing frameworks and performance evaluation pipelines
3. MLOps & Productionization
Implement end-to-end ML lifecycle:
Model training, testing, deployment, monitoring, and rollback
Use tools like MLflow, CI/CD pipelines (GitHub Actions/Azure DevOps)
Ensure model versioning, reproducibility, and governance
Manage online & batch inference systems
4. Observability & Reliability
Build monitoring systems for:
Model drift
Performance degradation
Hallucination detection in LLMs
Define incident response and rollback strategies
Maintain dashboards and alerting frameworks
5. AI Safety & Compliance
Implement AI guardrails:
PII/PHI detection
Content filtering
Prompt injection defense
Ensure compliance with regulatory standards (e.g., HIPAA)
6. Cloud & Infrastructure
Deploy solutions on AWS, GCP, or Azure
AWS Bedrock, SageMaker
GCP Vertex AI
Azure OpenAI / AI Foundry
Build scalable infra using Docker, Kubernetes, Terraform
7. Enterprise Automation (RPA Integration)
Design and support RPA workflows using Automation Anywhere / UiPath
Integrate AI/ML models into automation pipelines
Manage bot lifecycle, orchestration, and governance
8. Collaboration & Leadership
Work with product, data, and engineering teams to deliver scalable solutions
Mentor junior engineers and review technical designs
Create documentation (PDDs, SDDs, architecture designs)
Required Skills
Core Technical Skills
Strong Python development (FastAPI, ML libraries)
ML frameworks: PyTorch / TensorFlow / Scikit-learn
GenAI stack: OpenAI, Claude, LLaMA, Hugging Face
RAG systems and vector databases (Pinecone, FAISS, etc.)
MLOps & Systems
MLflow, model registry, CI/CD pipelines
Experiment tracking and automated testing
Deployment patterns (batch + real-time inference)
Data & APIs
SQL, REST/SOAP APIs
Experience with enterprise systems (SAP, Salesforce, etc. is a plus)
Nice to Have
Healthcare domain experience (HIPAA compliance, clinical or claims data)
Experience with agentic workflows & human-in-the-loop systems
Hands-on experience in cost optimization for LLM workloads
RPA certifications (Automation Anywhere / UiPath)
Project Code: SDIT Nebula Dev amp Support