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Remote Senior Machine Learning Engineer Jobs in Denver, CO

Pearson

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

Senior Data Engineering Manager Role Summary We are seeking a highly skilled Data Engineer III to ... Experience supporting AI, machine learning, and conversational analytics use cases. * Experience ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · On-site +1

$112K - $193K/yr

Partner with product owners, business analysts, and engineering leads to govern design patterns and ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

UnitedHealth Group

Solution Architect - Remote

Denver, CO · Remote

$112K - $193K/yr

Partner with product owners, business analysts, and engineering leads to govern design patterns and ... Experience evaluating and integrating advanced AI technologies, machine learning, or large language ...

Synergetics

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... This is a mostly remote position; candidates should reside or be willing to relocate to Northern ...

Axon

Senior Sales Engineer, Enterprise Air

Denver, CO · Remote

$107K - $147K/yr

Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ... Learning & Development programs * Employee Resource Groups (ERGs) * And yes, we have snacks in our ...

Mondo

Sr Backend Engineer

Denver, CO · Remote

$185K - $230K/yr

Remote Start Date: Flexible Duration: Permanent Compensation: $185,000 - $230,000 base equity ... They are seeking a Senior DevOps / Infrastructure Engineer to strengthen the cloud, security, and ...

ServiceTitan

Principal Software Engineer

Denver, CO · On-site +1

$139K - $186K/yr

Many of the features we offer - in particular, Machine Learning and AI-driven scheduling and ... on senior engineering roles (designing APIs, abstractions, and tools used by other engineers ...

Boulder Imaging Inc

Application Engineer

Louisville, CO · Remote

$70K - $85K/yr

... edge machine vision IdentiFlight technology. The primary responsibility to maintain a fleet of ... the Senior Application Engineer. Specific actions will involve (remote) optical calibration ...

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

Remote Senior Machine Learning Engineer information

See Denver, CO salary details

$77.7K

$147.5K

$197.6K

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

As of Aug 12, 2026, the average yearly pay for remote senior machine learning engineer in Denver, CO is $147,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,100.00 and $166,200.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Denver, CO? For Remote Senior Machine Learning Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Denver, CO look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Denver, CO are:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $147,487 per year, or $70.9 per hour.

Data Engineer III

Pearson

Denver, CO • On-site, Remote

$117K - $141K/yr

Full-time

Posted 7 days ago

Job description

Data Engineer III
Location: Denver, CO Hybrid (US)
Team: Global Data Platform Engineering (Datamancers)
Reports To: Senior Data Engineering Manager
Role Summary
We are seeking a highly skilled Data Engineer III to help design, build, and scale enterprise data products on Google Cloud Platform (GCP). This role is responsible for developing modern data pipelines, transformation frameworks, semantic data models, and analytics solutions that power business-critical reporting, advanced analytics, and AI-enabled use cases across Pearson. The ideal candidate combines strong data engineering practices with deep expertise in cloud-native data platforms, data modeling, analytics engineering, and platform governance. This role will work across Data Products / Data 360s and other strategic data initiatives utilizing BigQuery, dbt, Looker, Power BI, and modern CI/CD practices.
Key Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT workflows on GCP using our DBT platform.
  • Develop and support data products using Medallion Architecture (Bronze, Silver, and Gold layers).
  • Build and maintain dbt models, reusable transformations, and analytics engineering frameworks.
  • Design optimized BigQuery data models, datasets, views, and performance tuning strategies.
  • Implement automated data quality, testing, observability, and monitoring solutions.
  • Develop and support semantic models for analytics and reporting platforms including Looker and Power BI.
  • Partner with analytics engineers, software engineers, QA engineers, architects, and business stakeholders to deliver trusted data products.
  • Support CI/CD, release management, automated testing, and deployment processes.
  • Implement and maintain data governance, security, privacy, and access control standards.
  • Contribute to architecture decisions, platform standards, and engineering best practices.
  • Troubleshoot production issues and drive continuous platform improvements focused on reliability, scalability, and operational excellence.

Required Skills & Experience Technical Skills
  • Google Cloud Platform (GCP)
  • BigQuery
  • dbt Core
  • Advanced SQL
  • Python
  • REST API integration
  • Git / GitHub
  • CI/CD pipelines
  • Data modeling and dimensional modeling
  • Data quality and test automation
  • Performance optimization and query tuning
  • Cloud-native architecture and software engineering practices
  • AI Agent Frameworks and Implementations (GCP Gemini)

Analytics & Visualization
  • Looker / LookML
  • Power BI
  • Semantic modeling
  • KPI and metric development
  • Dashboard optimization and analytics enablement

Engineering Practices
  • Agile development methodologies
  • DevOps and automation practices
  • Infrastructure-as-Code concepts
  • Monitoring and observability frameworks
  • Technical design and architecture documentation
  • Peer reviews and collaborative engineering practices

Preferred Qualifications
  • Experience building enterprise-scale data and analytics platforms.
  • Experience supporting Marketing, Digital Analytics, Customer, or Advertising data domains.
  • Experience implementing Medallion Architecture and data product operating models.
  • Experience with orchestration technologies such as Airflow, Cloud Composer, or Cloud Run.
  • Understanding of data governance, GDPR, PII management, and enterprise security controls.
  • Experience supporting AI, machine learning, and conversational analytics use cases.
  • Experience working in highly collaborative cross-functional environments with product, engineering, governance, and business stakeholders.

What Success Looks Like
  • Delivers high-quality, production-ready data solutions with minimal supervision.
  • Drives improvements in platform reliability, scalability, performance, and maintainability.
  • Establishes reusable engineering patterns, frameworks, and best practices.
  • Automates manual processes and improves operational efficiency across the platform.
  • Partners effectively with stakeholders to translate business requirements into scalable technical solutions.
  • Provides technical leadership, mentors fellow engineers, drives engineering best practices, and influences the technical direction of enterprise data products.
  • Enables trusted, governed, and scalable data products that accelerate analytics and business decision-making.

Ideal Candidate Profile
A senior-level Data Engineer with strong expertise in GCP, BigQuery, dbt, Python, and analytics engineering who can independently own the end-to-end delivery of enterprise data products while influencing platform architecture, engineering standards, governance practices, and the long-term evolution of Pearson's modern data ecosystem.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
The minimum full-time salary range is between $80,000 - $100,000
This position is eligible to participate in an annual incentive program, and information on benefits offered is here.
Applications will be accepted through 17th August 2026. This window may be extended depending on business needs.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Engineering
Job Family: TECHNOLOGY
Organization: OCTO
Schedule: FULL_TIME
Workplace Type: Remote
Req ID: 25309

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