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Volunteer Machine Learning Jobs in Utah (NOW HIRING)

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT

$84K - $103K/yr

Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and ... Donation matching, volunteer opportunities * Investment in you: Tuition reimbursement, access to ...

Adecco

Machine Operator

American Fork, UT

$20/hr

This is a great opportunity to further your existing skills as a Warehouse Associate while learning ... additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit ...

New

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits ...

TAB Bank

Model Risk Management Analyst

Ogden, UT · On-site

Familiarity with machine learning models * Ability to build and manage analytical and statistical ... Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care TAB ...

TAB Bank

Model Risk Management Analyst

Ogden, UT · On-site

... machine learning models used in underwriting and the overall model risk associated with each ... Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care TAB ...

Tesla

Data Labeler

Draper, UT · On-site

Gain basic computer vision and machine learning knowledge to better understand howthe labels are ... Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft ...

US Department of the Treasury

Data Scientist

Ogden, UT · On-site

$106K/yr

Experience may have been gained in the public sector, private sector or through Volunteer Service ... Experience developing, validating, deploying, monitoring, and maintaining machine learning and ...

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All JobsVolunteer Machine Learning JobsVolunteer Machine Learning Jobs in Utah

Volunteer Machine Learning information

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How much do volunteer machine learning jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for volunteer machine learning in Utah is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $18.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Volunteer Machine Learning jobs in Utah? For Volunteer Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Utah look for? The top searched job categories for Volunteer Machine Learning jobs in Utah are:
What cities in Utah are hiring for Volunteer Machine Learning jobs? Cities in Utah with the most Volunteer Machine Learning job openings:
Volunteer Machine Learning jobs near you

Senior Climate Analytics Specialist

ICF

Salt Lake City, UT

$84K - $103K/yr

Full-time

Posted 13 days ago

Job description

Title: Senior Climate Analytics Specialist

Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA

Are you ready to make a difference?

ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.

The consultant chosen for this position will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.

The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.

Why you will love working here:

  • Quality of life: Flexible workplace arrangements, work-life balance

  • Investment of the community: Donation matching, volunteer opportunities

  • Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan

  • And many, many more (Ask your recruiter for more details!)

What you'll be doing...

  • Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects
  • Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products
  • Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
  • Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
  • Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports
  • Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you'll need to have...

  • Bachelor's Degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
  • 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
  • Demonstrated experience designing and implementing scalable, cloud-based workflows for large geospatial and climate datasets, including parallel processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
  • Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience...

  • Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • Ability to perform self-directed analytical work related to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
  • Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
  • Outstanding oral and written communication skills; ability to communicate complex climate information to non-scientists to inform decision-making
  • Experience working with and leading multi-disciplinary teams
  • Organized, detail oriented, and the ability to prioritize and multi-task

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00Nationwide Remote Office (US99)

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