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Remote Python Machine Learning Jobs in Colorado (NOW HIRING)

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94K - $158K/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 ...

USAA

Data Scientist Senior

Colorado Springs, CO · On-site +1

... machine learning, and other advanced analytics models. * 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building ...

USAA

Data Scientist Senior

Colorado Springs, CO · On-site +1

... machine learning, and other advanced analytics models. * 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building ...

Frontier Technology Inc.

AI/ML Engineer

Colorado Springs, CO · On-site +1

$190K - $220K/yr

... machine learning solutions supporting defense and national security missions. This role focuses on ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

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 Jul 9, 2026, the average hourly pay for remote python machine learning in Colorado is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 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.

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 Remote Python Machine Learning jobs in Colorado? For Remote Python Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Colorado look for? The top searched job categories for Remote Python Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Python Machine Learning jobs? Cities in Colorado with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Denver, CO • Remote

$50 - $90/hr

Part-time

Posted 10 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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