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Remote Machine Learning Engineer Jobs in Greeley, CO

Wood Plc

Instructor/ Trainer

Greeley, CO · On-site +1

$48 - $53/hr

Position is Remote or Hybrid. Authorization to work lawfully in the US without sponsorship from ... Responsible for creating engaging adult learning programs and resources for oil and gas technical ...

Amrize

Market Manager, Cement

Longmont, CO · Remote

... learning and building expertise in the Building Materials industry. The Market Manager is an ... This is a remote position based from a personal home office, candidate must live within the Front ...

Amrize

Market Manager, Cement

Fort Collins, CO · Remote

... learning and building expertise in the Building Materials industry. The Market Manager is an ... This is a remote position based from a personal home office, candidate must live within the Front ...

UCHealth Colorado Career

Medical Dosimetrist

Fort Collins, CO · On-site +1

$59.80 - $83.72/hr

... or remote option Summary : Develops and assists with the administration of radiation therapy ... Provides technical support for radiation protection procedures and qualitative machine calibrations ...

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

Remote Machine Learning Engineer information

See Greeley, CO salary details

$30.3K

$123.7K

$185.9K

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

As of Aug 16, 2026, the average yearly pay for remote machine learning engineer in Greeley, CO is $123,679.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $148,900.00 per year, depending on experience, location, and employer.

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

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?

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.

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

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

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

Cities near Greeley, 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 Greeley, CO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $123,679 per year, or $59.5 per hour.

Instructor/ Trainer

Wood Plc

Greeley, CO • On-site, Remote

$48 - $53/hr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

Overview / Responsibilities

Looking for a great opportunity?  Come join Wood as an Instructor/ Trainer in Greeley, CO.  Wood offers health benefits, 401k, vacation and more.  Local candidates highly preferred as there is no per diem, travel pay or lodging provided. Position is Remote or Hybrid.

Authorization to work lawfully in the US without sponsorship from Wood is required

  • Responsible for creating engaging adult learning programs and resources for oil and gas technical and safety training
  • Primarily focused on development of computer-based training (CBT) and instructor-led training (ILT) course materials; additional development includes: training artifacts (self-led training resources), procedure review and development, and on-the-job training materials for technical, safety, compliance, awareness, or other communication activities
  • Creates supporting materials and media to aid in adult learning (video, graphics, and other)
  • Partners with subject matter experts (SMEs) to develop training objectives and drives the production of training to satisfy objectives
  • Partner in the analysis, design, development, implementation, and evaluation of technical and safety training programs for the Rockies Business Unit (RBU)
  • Communicates in a direct, concise format that is digestible by all audiences and stakeholders
  • Utilizes surveys, or other methodologies, to evaluate the effectiveness of training materials and events - uses feedback to modify methods to facilitate continual improvement
Skills / Qualifications
  • Demonstrated ability developing adult instructional resources: CBT, instructor-led course content, complementary instructor and student guides, engaging exercises, bite-sized video products, and other relevant technical and safety resources
  • Demonstrated mastery and utilization of learning theory, adult learning principles, active learning, and instructional design
  • Experience performing needs assessment as a partner with SMEs
  • Ability to write concise and direct instructional content, CBT/video scripts that connect with audience/stakeholders (recommended CBT experience: Articulate Storyline)
  • Demonstrated graphic design capability, including creating graphics in PowerPoint and Illustrator in support of visualizing instructional content for adult learners (recommended Adobe experience: InDesign, Photoshop, Illustrator, and Premiere Pro/Rush)
  • Bachelor's degree or certificate in instructional design or educational technology; master's degree preferred
  • Oil and gas or similar industry experience preferred; health and safety background is a plus
  • Instruction design portfolio will be expected for all applicants
  • Pay range is $48-53/hr DOE
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER

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