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Flexible Remote Machine Learning Engineer Jobs in Colorado

Snowflake

Account Engineer

Denver, CO · On-site +1

$105K - $137K/yr

Familiarity with data science, machine learning workflows, or governance tools. Our Team Culture At ... vision, flexible PTO, and professional development budget. Snowflake is growing fast, and we're ...

Booz Allen Hamilton, Inc.

Software Engineer

Aurora, CO · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0241258 Location: Aurora,CO,US Share job via: Share Software Engineer ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... our machine learning algorithms. * Contribute to the system architecture's design and make ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... flexible work schedules, paid parental leave, and eligibility for hybrid and remote work options ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

... copy machines. May require occasional exposure to work environments that may include inclement ... flexible work schedules, paid parental leave, and eligibility for hybrid and remote work options ...

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Flexible Remote Machine Learning Engineer information

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Colorado?

The most popular types of Remote Machine Learning Engineer jobs in Colorado are:

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Colorado?

For Flexible Remote Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Colorado look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Colorado are:

What cities in Colorado are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities in Colorado with the most Flexible Remote Machine Learning Engineer job openings:

Flexible Remote Machine Learning Engineer jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Longmont, CO • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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