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Remote Machine Learning Engineer Jobs in Boulder, CO

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation ... Contribute to automation and data-driven technologies, including support for machine learning and ...

Collaborate with cross-functional partners, such as product and engineering to design effective and safe Machine Learning and AI solutions. * Train and iterate on models, thinking critically about ...

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:

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 ...

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 ...

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Account Engineer

Denver, CO · On-site +1

$105K - $137K/yr

As an Account Engineer , you'll play a key role in delivering technical expertise and building ... Familiarity with data science, machine learning workflows, or governance tools. Our Team Culture At ...

Principal Software Engineer

Denver, CO · On-site +1

$139K - $186K/yr

Principal Engineer We're looking for someone to lead all technical aspects of an engineering team ... Many of the features we offer - in particular, Machine Learning and AI-driven scheduling and ...

We remain open to remote work options for applicants whose background and performance standards ... copy machines. May require occasional exposure to work environments that may include inclement ...

We remain open to remote work options for applicants whose background and performance standards ... copy machines. May require occasional exposure to work environments that may include inclement ...

We remain open to remote work options for applicants whose background and performance standards ... copy machines. May require occasional exposure to work environments that may include inclement ...

Application Engineer

Louisville, CO · Remote

$70K - $85K/yr

... edge machine vision IdentiFlight technology. The primary responsibility to maintain a fleet of ... Specific actions will involve (remote) optical calibration, electrical diagnostics, network system ...

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... Explore a wide range of learning and growth opportunities within and across industries. * Health ...

... machine learning, building a robot for school or prototyping your first (or tenth) product. No ... The Engineering department focuses on team collaboration and success, developing users centered ...

Showing results 21-40

Remote Machine Learning Engineer information

See Boulder, CO salary details

$33.2K

$135.5K

$203.7K

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 Boulder, CO is $135,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $163,100.00 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 Boulder, CO? The most popular types of Machine Learning Engineer jobs in Boulder, CO are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Boulder, CO? For Remote Machine Learning Engineer jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Boulder, CO look for? The top searched job categories for Remote Machine Learning Engineer jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Remote Machine Learning Engineer jobs? Cities near Boulder, CO with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Boulder, CO as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $135,538 per year, or $65.2 per hour.
Lead Cloud Platform & Dev Ops Engineer

Lead Cloud Platform & Dev Ops Engineer

State of Colorado

Denver, CO • On-site, Remote

$121K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


State Of Colorado rating

7.2

Company rating: 7.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

39th of 50 rated states


Job description

Department Information To apply, please go to: https://cu.taleo.net/careersection/2/jobdetail.ftl?job=40286 Join Our Team and Make a Difference in Higher Education. At the System Administration office at the University of Colorado, we are dedicated to building a workplace where everyone feels valued, supported, and empowered to thrive. Our office is committed to fostering a culture where employees find community, a sense of belonging, and the opportunity to contribute meaningfully to our mission and purpose

By joining our team, you'll have a direct impact on shaping the future of higher education. In addition to the Office of the Board of Regents, the University of Colorado's system administration includes 19 units that provide essential services to CU's campuses in Aurora, Boulder, Colorado Springs, and Denver, as well as the Office of the President. While not a part of any one campus, we are proud to serve in the centralized office for the University system.

Together, we ensure CU continues to deliver outstanding education, groundbreaking research, and valuable service to our communities. We believe in creating an environment where the unique experiences and perspectives of everyone are embraced, enriching the work we do and the strategic outcomes we pursue. If you're passionate about making a difference, contributing to a dynamic team, and supporting a mission that matters, we encourage you to apply and be part of our journey.

Learn more about CU System Administration. Position Summary: University Information Services (UIS) provides technical services and enterprise applications to the University of Colorado campuses and the Office of the President. UIS is committed to delivering reliable, secure, and scalable technology solutions that support academic, administrative, and research functions.

The Lead Cloud Platform & DevOps Engineer is responsible for leading the design, implementation, and support of cloud-based platforms and DevOps practices that enable consistent and efficient delivery of applications and services. This role focuses on cloud platform architecture, infrastructure automation, CI/CD processes, system integration, and operational reliability. This position supports the development and adoption of platform engineering practices, including infrastructure-as-code, containerization, and monitoring/observability solutions.

The role also contributes to the implementation of automation and data-driven technologies, including support for machine learning and intelligent automation workloads, in alignment with institutional standards and requirements. The Lead Cloud Platform & DevOps Engineer collaborates with campus IT teams, information security, and other stakeholders to implement platform solutions that meet security, compliance, and operational needs. Responsibilities include supporting service reliability practices, contributing to technical standards and documentation, and assisting with the evaluation and adoption of new tools and technologies.

This position provides technical guidance to development and operations teams, supports onboarding and enablement efforts, and contributes to continuous improvement of platform services. The role works across multiple projects and technical environments, supporting consistent implementation of DevOps and cloud engineering practices. This position reports to the Assistant Director of Integrations Platform and is exempt from the State of Colorado Classified Staff system.

Where You Will Work: Applicants must be Colorado residents or able to relocate to Colorado within a month of starting employment with University of Colorado System Administration. This role is eligible to work remotely within Colorado. Please note, leadership may adjust in-office work requirements with a minimum of three months' notice before any change can be implemented.

Description of Job Duties and Responsibilities: Platform Architecture, Engineering & Delivery (60%) Design, implement, and maintain cloud platform architecture, including security, identity, networking, and policy controls aligned with institutional standards Design, implement, and maintain CI/CD pipelines and release processes, including build, testing, security, and deployment workflows across development and production environments Support system integration across cloud and enterprise environments Drive adoption of platform engineering practices, including containerization and automation Contribute to automation and data-driven technologies, including support for machine learning and intelligent automation workloads Work across multiple projects and technical environments to ensure consistent implementation of DevOps and cloud engineering practices Reliability, Security & Operations (20%) Support platform reliability and operational practices, including defining service performance metrics (e.g., SLOs/SLIs), implementing monitoring and observability solutions, and participating in incident response and disaster recovery activities Collaborate with information security and compliance teams to implement and maintain platform security controls, access management, and data protection measures in alignment with regulatory requirements (e.g., FERPA, HIPAA) Monitor and optimize platform performance, capacity, and cost utilization across cloud environments, ensuring consistency across environments Ensure operational reliability and performance of platform services Align platform solutions with institutional standards, policies, and requirements Leadership, Enablement & Continuous Improvement (20%) Provide technical guidance and support to development and operations teams through documentation, training, and onboarding to promote effective use of platform services and DevOps practices Evaluate and implement new technologies and tools to support cloud platform capabilities, automation, data integration, and data-driven initiatives in collaboration with internal stakeholders Contribute to development of technical standards, documentation, and governance practices Contribute to continuous improvement of platform services and engineering processes Minimum Qualifications, Substitutions, Conditions of Employment & Appeal Rights Minimum Qualifications: Please include all relevant experience in your resume to be accurately assessed against these qualifications. You must meet all minimum requirements at the time of application to be considered for this role. Master's degree in Computer Science, Computer or Electrical Engineering, or related IT field plus three (3) years of progressively responsible professional experience as a Platform Engineer (or a similar position) supporting production systems or A Bachelor's degree in Computer Science, Computer or Electrical Engineering, or related IT field plus five (5) years of progressively responsible experience as a Platform Engineer (or a similar position) supporting production systems Professional experience must include: Three (3) years of experience in: programming languages such as Python and/or Java, including with machine learning frameworks; leading or supporting DevOps initiatives, including implementation of CI/CD pipelines, infrastructure-as-code, and release/change management practices; designing, developing, and maintaining cloud-based solutions using public cloud platforms (e.g

AWS services such as EKS, ECS, or Lambda), including containerized or serverless applications in production environments; and implementing monitoring, logging, and reliability practices and supporting incident response using industry tools (e.g. Prometheus, Grafana, etc.) Two (2) years of experience in: artificial intelligence and enterprise IT and cloud environments, including API and integration development, streaming technologies (e.g. Kafka or RabbitMQ) and collaboration with security or compliance stakeholders in support of technical controls Supplemental Information How to Apply: For full consideration, please attach the following as separate documents to your application at https://cu.taleo.net/careersection/2/jobdetail.ftl?job=40286: A cover letter identifying the job specific minimum qualifications you possess and interest in the position

A resume including all relevant experience to be accurately assessed against the qualifications listed in the posting. Benefits: With our unparalleled range of benefits, including top-notch healthcare, comprehensive wellness programs, enriching professional development, and a dynamic work-life balance, we ensure your holistic growth and happiness. No-cost or low-cost medical & dental plan options, some inclusive of IVF assistance.

Disability, Life, Vision Insurance options. Multiple retirement planning options including a mandatory 401(a) plan where CU contributes 10% of your gross pay, a 401k or 403b plan and a 457 deferred compensation plan. Pre-tax savings plans, such as Health care and Dependent care flexible spending accounts.

Embrace a healthy work-life balance with ample sick and vacation leave, along with at least 12 paid holidays. This includes a dedicated week off for winter break. 6 weeks of parental leave to adjust to the joys of parenthood.

A tuition benefit program for you and/or your dependents. Free RTD EcoPass and free onsite parking at our 1800 Grant Street Office. Many additional perks & programs with the CU Advantage.

Additional taxable fringe benefits may be available. For more information on benefits programs, please review our Comprehensive Benefits Guide. Access our Total Compensation Calculator to see what your total rewards could be at CU.

(This position is a University Staff position)


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