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Home Based Python Machine Learning Jobs in Colorado

... based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult ... Develop and maintain backend services using Python, focusing on AI-driven applications. * Design ...

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Machine Learning Engineer

Denver, CO · On-site

$205K - $316.40K/yr

We are looking for Machine Learning Engineers ranging from the Senior to Staff levels (note ... Proficiency in Python and common ML frameworks * Ability to operate across ambiguity and drive end ...

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors ... Proficient in Python * Foundational understanding of machine learning concepts including supervised ...

$228K - $253K/yr

... as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Principal Machine Learning Engineer, you ... Not based in one of these areas? We will offer a relocation bonus to help make your move to the ...

$206K - $230K/yr

... as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will ... Not based in one of these areas? We will offer a relocation bonus to help make your move to the ...

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Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are the most commonly searched types of Python Machine Learning jobs in Colorado? The most popular types of Python Machine Learning jobs in Colorado are:
What are popular job titles related to Home Based Python Machine Learning jobs in Colorado? For Home Based Python Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Home Based Python Machine Learning jobs? Cities in Colorado with the most Home Based Python Machine Learning job openings:
Infographic showing various Home Based Python Machine Learning job openings in Colorado as of May 2026, with employment types broken down into 1% Internship, 6% As Needed, 35% Full Time, 6% Part Time, 51% Contract, and 1% Nights. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution.

Machine Learning Engineer

Judi Health

Denver, CO • Remote

Other

Posted 20 days ago


Job description

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

  • Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 
  • Develop and maintain backend services using Python, focusing on AI-driven applications. 
  • Design and implement APIs for seamless integration with AI models and services. 
  • Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 
  • Participate in code reviews, testing, and quality assurance processes. 
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 
  • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 
  • Document and communicate development processes and implementation details with peers and supervisors 
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. 
  • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 
  • Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 
  • Proficiency in Python and familiarity with ML libraries such as PyTorch. 
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 
  • Good written communication skills that enable collaboration in a remote environment.