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Remote Python Machine Learning Jobs in Denver, CO

Crocs

Senior Manager Analytics & AI

Broomfield, CO · On-site +1

... a flexible, remote environment while traveling to collaborate with global stakeholders and ... Build and scale enterprise AI and machine learning capabilities across supply chain functions ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

Relativity

Principal Applied Scientist

Denver, CO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94.87K - $158.12K/yr

Conduct exploratory data analyses and proof-of-concept machine learning models to understand ... Experience with exploratory data analysis and model prototyping, using languages such as Python and ...

Paradigm

Senior Applied ML Engineer

Denver, CO · Remote

$125.25K - $183.70K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

Planet Labs PBC

Senior Geospatial AI/ML Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, hybrid role which will require you to work ...

DataAnnotation

Software Developer - AI Trainer

Denver, CO · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

Web Developer - AI Trainer

Denver, CO · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

Mobile QA Engineer - AI Trainer

Denver, CO · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

React Developer - AI Trainer

Denver, CO · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

Mobile Software Engineer

Denver, CO · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

CUJO AI

Director Platform Product Owner

Denver, CO · On-site +1

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

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How much do remote python machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python machine learning in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.
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Remote Python Machine Learning jobs near you
Senior Manager Analytics & AI

Senior Manager Analytics & AI

Crocs

Broomfield, CO • On-site, Remote

Other

Posted 10 days ago

Crocs rating

6.8

Company rating: 6.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

25th of 102 rated fashion retailers

Job description

Overview

Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AIdriven capabilities across our global supply chain. This role will drive the evolution from reporting and dashboards to predictive, prescriptive, and AIassisted decisionmaking embedded into daytoday operations. This leader will own the endtoend Data science & AI portfolio for Supply Chain, translating business priorities into a structured pipeline of AI use cases, guiding those ideas from concept through deployment, and ensuring solutions deliver measurable operational impact. The role requires a strong combination of handson data science expertise, platform and product thinking, and enterprise leadership. The ideal candidate can move seamlessly between strategy and execution while building scalable, governed AI capability.

This position aligns to our Explorer Persona, designed for leaders who thrive in a flexible, remote environment while traveling to collaborate with global stakeholders and influence supply chain operations in-market.
What You'll Do
  • Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor.
  • Translate business problems into welldefined AI use cases, with clear success metrics and operational outcomes.
  • Define and operationalize standard frameworks for AI usecase intake, prioritization, development, deployment, and lifecycle management.
  • Lead the endtoend delivery of MLdriven solutions, from problem framing and model development through production deployment and adoption tracking.
  • Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and longterm capability goals.
  • Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models.
  • Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner.
  • Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and longterm scalability.
  • Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery.
  • Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization.
  • Communicate progress, risks, and outcomes to senior stakeholders using clear, businessfocused language.
What You'll Bring to the Table

Required

  • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Supply Chain, or a related field.
  • 8+ years of experience in data science, machine learning, or advanced analytics roles.
  • Proven experience deploying machine learning solutions in production environments, not just proofs of concept.
  • Strong programming skills in Python and proficiency in SQL.
  • Experience working with largescale data, modern ML frameworks, and enterprise analytics platforms.
  • Demonstrated application of analytics in supply chain, logistics, operations, or planning domains.
  • Strong understanding of the AI/ML lifecycle, including deployment, monitoring, governance, and ongoing optimization.
  • Ability to translate complex technical concepts into clear business outcomes and influence crossfunctional stakeholders.
  • Experience leading complex initiatives in a global, matrixed enterprise environment.

Nice to Have

  • Experience with the Microsoft AI ecosystem, including Azure AI, Azure Foundry, Copilot, and Power Platform.
  • Exposure to Generative AI, including LLMbased solutions, prompt design, or AIassisted workflows.
  • Familiarity with AI orchestration, agentbased systems, or humanintheloop automation.
  • Experience working with external AI vendors or SaaS AI platforms.
  • Knowledge of supply chain systems such as WMS, TMS, ERP, or planning tools.
  • Background in retail, manufacturing, or logisticsdriven environments.

The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.

Job Category: Corporate

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