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Remote Machine Learning Engineer Jobs in Denver, CO

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Maxar

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

Research, prototype, and deploy innovative solutions leveraging machine learning and computer ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer ... remote sensing applications. * Experience with machine learning frameworks and modern AI ...

Wsgr

Innovations and AI Solutions Engineer

Boulder, CO · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Paradigm

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... AI and machine learning applications, ensuring data is structured and documented for model ...

DomainTools

Senior Software Engineer

Denver, CO · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Denver, CO

Remote Machine Learning Engineer information

See Denver, CO salary details

$32.4K

$132.5K

$199.1K

How much do remote machine learning engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote machine learning engineer in Denver, CO is $132,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Denver, CO? The most popular types of Machine Learning Engineer jobs in Denver, CO are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Denver, CO? For Remote Machine Learning Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Denver, CO look for? The top searched job categories for Remote Machine Learning Engineer jobs in Denver, CO are:
What cities near Denver, CO are hiring for Remote Machine Learning Engineer jobs? Cities near Denver, CO with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Denver, CO as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $132,527 per year, or $63.7 per hour.

Machine Learning Engineer

Canals

Denver, CO • Remote

Full-time

Posted 16 days ago

Job description

About Canals

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

The Role

Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.

What You’ll Do

  • Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

  • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.

  • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

  • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

  • Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

  • Help shape the future of Canals as we continue scaling with our customers.

What You'll Bring

  • Senior-level experience building and deploying machine learning models in production environments.

  • Experience designing scalable data pipelines and working with large datasets.

  • Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

  • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

  • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

  • Experience working independently in a fast-paced, product-focused environment.

  • Previous experience in high-growth startups or small teams is a plus.

  • Familiarity with MLOps practices and tools is a plus.

Why Join Canals

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.