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Remote Machine Learning Jobs in Ogden, UT (NOW HIRING)

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Sr Software Engineer

Salt Lake City, UT · On-site +1

$130K - $252K/yr

... learning courses Volunteer time off and employee-driven matching grants Tuition reimbursement programs Click here to learn more about our company and culture. CHG Healthcare values a diverse and ...

New

Software Engineer

Salt Lake City, UT · On-site +1

$116K - $225K/yr

... learning courses Volunteer time off and employee-driven matching grants Tuition reimbursement programs Click here to learn more about our company and culture. CHG Healthcare values a diverse and ...

New

Senior Software Engineer

Salt Lake City, UT · On-site +1

$130K - $252K/yr

... learning courses Volunteer time off and employee-driven matching grants Tuition reimbursement programs Click here to learn more about our company and culture. CHG Healthcare values a diverse and ...

New

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Remote Machine Learning information

See Ogden, UT salary details

$25K

$41.7K

$86.1K

How much do remote machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote machine learning in Ogden, UT is $41,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Ogden, UT? The most popular types of Machine Learning jobs in Ogden, UT are:
What job categories do people searching Remote Machine Learning jobs in Ogden, UT look for? The top searched job categories for Remote Machine Learning jobs in Ogden, UT are:
What cities near Ogden, UT are hiring for Remote Machine Learning jobs? Cities near Ogden, UT with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Ogden, UT as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,671 per year, or $20 per hour.
DATA ANYALYST II PA

DATA ANYALYST II PA

Lumbee Tribe Holdings, Inc.

Salt Lake City, UT • Remote

Full-time, Part-time

Posted 7 days ago

New


Job description

Position Title

Data Analyst II

Position Classification

Exempt

Position Type

This position may be full-time or part-time and is scheduled to work standard business hours from 8:00 a.m. to 5:00 p.m. Overtime is not expected for this role.

Work Location

Salt Lake City, UT

Position Description

The Data Analyst will provide analysis for the US Army Reserve Medical Command. They will analyze maintenance data information in the Global Combat Support System (GCSS-Army) and analyze data processing requirements to plan data processing system that will provide system capabilities required for projected workloads, and plans layout and installation of new system or modification of existing system by performing the following duties.

Essential Position Functions

• Provide data validation services to improve the data integrity of MD/MDS to support accountability and maintenance within GCSS-A for all MD/MDS assigned to units within USARC

• Provide guidance to unit personnel for accurate data input into GCSS-A for MD/MDS based on current Master Maintenance Data File (MMDF)

• Assist USARC units by pulling the GCSS-A MAT-SIT, researching the Medical Sets until MATCAT data and other USARC provided lists.

• Provide guidance on how to correct the Property Book in GCSS-A, including scrubbing existing GCSS-A data, validating the GCSS-A property book number against the United States Army Medical Material Development (USAMMDA) website.

• Assist unit personnel in identifying MD/MDS and provide guidance for accurate data information

• Validate existing work orders in GCSS-A

• Assist unit personnel with training on how to identify or add the support shop and verify the correct work center for work orders

• Assist in the set-up or next level of maintenance support information within GCSS-A as well as assist in developing points of contact (POC) for units to reach out to for assistance, such as Multi-Functional Medical Battalions (MMB), Brigades, Regional Training Site (RTS)-Medical Sites, USAMMA Depots and agencies, and the 6th Medical Logistics Management Center (MLMC).

• Validate unit’s data process for medical (Class VIII) repair parts transactions

• Understand and learn any new procedural changes for ordering medical repair parts within GCSS-A

• Assist with overseeing the inputting of all operator level data validation processes

• Validate man-hour accountability reporting processes

• Enters data into computer terminal to store, retrieve, and manipulate data for analysis of system capabilities and requirements

• Trains users to use new or modified equipment.

Education/Experience

• Three years’ experience working in an Army Medical Maintenance work environment

• Three years’ experience processing MD/MDS data using Army systems

• Two years’ experience in GCSS-A at the operator level

• Familiarity with USAR processes and procedures.

• Bachelor’s degree preferred but additional experience may be accepted in lieu of a degree. One (1) year of recent GCSS-Army operator level experience with USAR STAMIS business processes.

• Must have good oral and written communication skills and be familiar with word processing, spreadsheets and able to provide written After-Action Reports. Previous Military experience desired.

• Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.

• Basic math skills in addition, subtraction, division and multiplication.

• Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

• To perform this job successfully, an individual must have some knowledge with the following concepts and tools: Basic computer skills, Automated Logistics/Data Analyst_2017_Version 2

Physical Requirements for the Role

This position is primarily sedentary and requires the ability to work at a computer for extended periods, including viewing monitors, using keyboards, and operating standard office equipment. The role may require occasional standing, walking, and minimal lifting (up to 10 pounds).

Reports To

LFS assigned Program Manager

Supervisory Responsibilities

None

Work Environment

The work environment for this position is primarily a professional office or remote setting with standard business conditions. The role involves regular use of computers and related technology in a low-noise environment and frequent collaboration with technical and non-technical team members. Work is generally performed during normal business hours with minimal physical risk, and the environment supports adherence to established cybersecurity, safety, and organizational policies.

Security Clearance Requirements

Secret Security Clearance

Travel Requirements

Travel is estimated to be 50% within the Continental United States.

Compensation

Commensurate with experience and qualifications.

Lumbee Holdings is an Equal Opportunity Employer. We do not discriminate in employment based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, protected veteran status, or any other status protected by applicable federal, state, or local law.

Note: This summary is not intended to be a complete description of all benefits. Employees will receive detailed information about benefit plan terms, conditions, and eligibility during onboarding. These statements are intended to describe the general nature and level of work involved for this job. It is not an exhaustive list of all responsibilities, duties, and skills required of this job.