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Remote Machine Learning Engineer Jobs in Salt Lake City, UT

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

AECOM

Senior Project Geotechnical Engineer

Murray, UT · On-site +1

Advance company capabilities through innovation, automation, machine learning, and emerging ... Mentor engineers in numerical modeling methodologies, engineering judgment, and application of ...

Applied Materials

UX Engineer IV - (E4)

Salt Lake City, UT · On-site +1

$156K - $214K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

Healthcare

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

... another machine learning framework * 3 years of experience developing cloud-hosted applications ... Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Salt Lake City, UT

Remote Machine Learning Engineer information

See Salt Lake City, UT salary details

$30.4K

$124.4K

$186.9K

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

As of Sep 9, 2026, the average yearly pay for remote machine learning engineer in Salt Lake City, UT is $124,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 per year, depending on experience, location, and employer.

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 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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Salt Lake City, UT?

The most popular types of Machine Learning Engineer jobs in Salt Lake City, UT are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Salt Lake City, UT?

For Remote Machine Learning Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Salt Lake City, UT look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Remote Machine Learning Engineer jobs?

Cities near Salt Lake City, UT 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 Salt Lake City, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $124,611 per year, or $59.9 per hour.

Senior Java Developer (Business Automation & AI)

Taylorsville, UT • Remote

The AES Group
See more jobs at The AES Groupexternal

$58.50 - $74.75/hr

Contractor

Re-posted 3 days ago

Job description

Job Title: Senior Java Developer (Business Automation & AI)
Location: Remote, USA

Let’s create our future together at The AES Group!

About The AES Group

The AES Group is a premier technology staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re hiring a Senior Java Developer (3–5 years) to help modernize business automation and self-service support platforms. You’ll maintain and migrate complex decision logic using Drools and Kogito, and support the build-out of AI chatbot infrastructure. This role also focuses on converting legacy documentation into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) patterns.
 

What you’ll do

  • Design, develop, and maintain decision services using Drools (DRL); migrate legacy workflows to cloud-native Kogito microservices.
  • Build and manage AWS Bedrock Knowledge Bases to enable accurate, context-aware AI responses.
  • Create automated pipelines to extract, clean, and convert legacy documentation into optimized formats (Markdown/vector-ready), stored in Amazon S3.
  • Develop secure, high-performance REST APIs using Quarkus or Spring Boot to integrate chatbot capabilities into Java applications.
  • Deploy and scale business automation services in Kubernetes/OpenShift environments.
  • Collaborate with engineering and product stakeholders to improve decision accuracy, performance, and maintainability.

Required skills & experience

  • 3–5 years of professional Java experience (8/11/17+) with Spring Boot or Quarkus.
  • Hands-on experience writing/debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Proven experience with Kogito for cloud-native business processes.
  • Experience with AWS Bedrock (Knowledge Bases, Agents, and/or prompt engineering).
  • Strong working knowledge of Amazon S3 for document storage and metadata tagging.
  • Experience converting legacy HTML/XML documentation into structured formats (Markdown/JSON) for AI usage.
  • Experience with Git, CI/CD pipelines, Docker, and Kubernetes.

Nice to have

  • Experience with vector databases (Amazon OpenSearch, Pinecone, Milvus).
  • Python exposure for document parsing/automation.
  • Knowledge of BPMN 2.0 standards.
  • AWS certifications (Developer Associate and/or Machine Learning Specialty).

Ready to make an impact? Apply now and join us on our journey!