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Machine Learning Engineer Jobs in Littleton, CO (NOW HIRING)

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$180K - $225K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are ...

AppFolio

Staff Machine Learning Engineer

Denver, CO · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

AppFolio

Sr. Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

AppFolio

Staff Machine Learning Engineer - Leasing

Denver, CO · On-site

$17.50 - $20.50/hr

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Littleton, CO

Machine Learning Engineer information

See Littleton, CO salary details

$31.6K

$129K

$193.8K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Littleton, CO is $128,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $155,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Littleton, CO?

The most popular types of Machine Learning Engineer jobs in Littleton, CO are:

What are popular job titles related to Machine Learning Engineer jobs in Littleton, CO?

For Machine Learning Engineer jobs in Littleton, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Littleton, CO look for?

The top searched job categories for Machine Learning Engineer jobs in Littleton, CO are:

What cities near Littleton, CO are hiring for Machine Learning Engineer jobs?

Cities near Littleton, CO with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Littleton, CO as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,984 per year, or $62 per hour.

Machine Learning Engineer

United States Digital Space LLC

Denver, CO • On-site

Other

Posted 11 days ago

Job description

Chief of Staff to the Chief Product Officer

As Chief of Staff to the Chief Product Officer, you will be a force multiplier for the company's product leadership team. This role helps the CPO run a high-functioning organization by translating priorities into an effe…

Solutions Engineer, Command

We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command by the company to product development and engineering teams. This is a unique opportunity to be at the ground floor…

Software Engineer, AI Developer Experience

We're looking for a Software Engineer to integrate and improve our AI developer experience so that engineers at the company can use AI to increase their velocity. As part of the AI Developer Productivity team, you'll bui…

Principal Product Marketing Manager, Command by Asana

the company Marketing is hiring a Principal Product Marketing Manager to own the GTM strategy for our new product, Command by the company. This strategic, high-growth role is focused on rapidly scaling products from init…

Marketing Team Overview

The the company Marketing team is responsible for fueling business growth and building a brand customers love. We create campaigns and content to attract new accounts and inspire current ones to grow with us. We continue…

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