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Ml Platform Engineer Jobs in Utah (NOW HIRING)

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

Many of the core Weave products/features (auto scheduling, AI/ML, real-time notifications, etc ... Engineering Manager What You Will Own * Design and Develop core data platform components for ...

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Experience building production-ready systems with cloud platforms (AWS). * Expertise in AI, machine ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using ... Work closely with subject matter experts, product managers, and other engineers to translate ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using ... Work closely with subject matter experts, product managers, and other engineers to translate ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using ... Work closely with subject matter experts, product managers, and other engineers to translate ...

Strong technical depth in one or more areas such as mobile engineering, backend systems, cloud infrastructure, distributed systems, AI/ML platforms, or platform engineering. * Experience driving ...

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Ml Platform Engineer information

See Utah salary details

$30

$58

$86

How much do ml platform engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for ml platform engineer in Utah is $58.22, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $67.16 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in Utah?

For Ml Platform Engineer jobs in Utah, the most frequently searched job titles are:

Infographic showing various Ml Platform Engineer job openings in Utah as of August 2026, with employment types broken down into 57% Full Time, 41% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $121,103 per year, or $58.2 per hour.

Senior AI/ML Solutions Architect

Salt Lake City, UT • On-site


Cambia Health Solutions
Health Care and Social Assistance • 1 - 5K employees

8.4

Company rating: 8.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

121st of 311 rated insurance

People enjoy working here

Good employer

Paid breaks


Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Senior AI/ML Solutions Architect

Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho, or Utah

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For:

Every day, Cambia's Applied AI team is living our mission to make health care easier and lives better. We're seeking aSenior AI/ML Solutions Architectwho can think strategically about our growing AI portfolio while building the architectural foundation for how Cambia builds intelligent systems.

This is a unique technical leadership role that sits at the critical intersection of AI innovation and enterprise architecture. You'll be the bridge between our Applied AI team and Cambia's broader architecture practice, someone who can speak both languages fluently. You can collaborate with enterprise architects and platform engineers on scalability, security, and integration patterns, while also advocating for the unique requirements of building in non-deterministic environments: the observability frameworks, evaluation pipelines, monitoring strategies, and safety guardrails that AI systems demand.

We're looking for a hands-on architect, someone who builds consensus through prototypes and working code, not just PowerPoint. You'll roll up your sleeves to prototype solutions, validate technical approaches, and sometimes fill in the gaps to work through harder problems. You'll bring people together by showing what's possible and helping everyone understand the trade-offs. Reporting directly to the VP of Applied AI, you'll shape Cambia-wide standards for AI system development, influence AI/ML platform design, and architect solutions for complex partnerships, all while staying deeply connected to the technical reality of building production AI systems. If you're an experienced architect who understands both the promise and the practical challenges of production AI, who leads through collaboration and working solutions, and who wants to shape how a healthcare organization deploys intelligence at scale, we'd love to hear from you.

What You Bring to Cambia:

Hands-On Technical Expertise

  • Deep technical knowledgeof modern AI/ML systems (GenAI, LLMs, RAG architectures, agentic systems, classic ML, ML/LLM operations) withproven ability to prototype and buildworking solutions

  • Strong coding skillsin Python and experience building production AI applications, APIs, and integrations

  • Practical experiencewith AI-specific requirements: evaluation frameworks, observability patterns, monitoring strategies, model governance, bias mitigation, and safety guardrails

  • Experience with AI/ML platformsand cloud services (AWS, Azure, etc.) including hands-on implementation work

Architecture & Integration Experience

  • Demonstrated architecture experiencespanning business units/technology domains with ability to design solutions that work across organizational boundaries

  • Demonstrated experiencearchitecting for regulated industries (healthcare preferred) with understanding of microservices, event-driven architectures, API design, and cloud-native patterns

  • Proven abilityto design solutions that work across organizational boundaries and complex partnership integrations

Collaboration & Consensus Building

  • Exceptional consensus-building skills: brings stakeholders together through prototypes, demonstrations, and shared technical understanding

  • Proven abilityto translate between AI/ML teams and architecture & engineering teams, finding common ground and building alignment

  • Strong communication skillsacross technical domains: can explain AI system needs to infrastructure teams and enterprise constraints to AI engineers

Leadership

  • Strategic thinkingabout product portfolios: can see patterns across multiple AI initiatives and identify opportunities for reuse and standardization

  • Experience influencingsenior business and technology leaders on technical strategy through clear communication and demonstrated value

  • Demonstrated mentoring abilitywith engineers and architects, helping teams grow their technical capabilities

  • Strong interpersonal skills: relates well to people across all organizational levels and establishes trust through genuine collaboration

Qualifications:

  • Bachelor's degreein Computer Science, Engineering, or related field;advanced degree preferred

  • 12+ yearsin technology with minimum7 yearsevaluating business requirements and designing complete systems solutions in complex environments

  • Minimum 2-3 yearsof technical leadership and architecture experience

  • Strong business understandingincluding healthcare technologies and regulations preferred

  • Experience in health insurance industry and payer-oriented processes/systems is a plus

  • Equivalent combination of education and experience will be considered

What You Will Do at Cambia:

Build & Prototype

  • Develop working prototypesto validate technical approaches, demonstrate feasibility, and build stakeholder alignment

  • Write production-quality codewhen needed to fill gaps, solve complex problems, or establish patterns for teams to follow

  • Conduct hands-on technical evaluationsof emerging AI technologies, frameworks, and platforms

  • Build proof-of-conceptsthat translate strategy into tangible demonstrations

Shape AI Architecture Standards

  • Establish architectural patternsfor AI systems through working examples and reference implementations

  • Define standardsfor AI-specific concerns: evaluation frameworks, observability, monitoring, safety guardrails, model governance, and responsible AI practices

  • Create and maintain reference architecturesfor common patterns (RAG systems, agentic applications, ML pipelines)

  • Lead technical design reviewsand document architectural decisions

Bridge AI and Enterprise Architecture

  • Serve as primary liaisonbetween Applied AI and enterprise architecture/platform engineering teams

  • Translate requirementsbidirectionally: AI needs to enterprise architects, enterprise constraints to AI engineers

  • Advocate for AI-specific requirementswithin traditional architecture frameworks while ensuring alignment with Cambia's technology strategy

Guide AI/ML Portfolio Decisions

  • Think strategicallyabout Applied AI's portfolio, identifying architectural patterns and reuse opportunities

  • Assess technical feasibilityand integration complexity for product roadmap decisions

  • Evaluate emerging technologiesand provide recommendations balancing innovation with enterprise readiness

Lead Partnership & Integration Architecture

  • Design integration strategiesfor partnership-driven AI initiatives

  • Architect solutionsfor complex integrations involving multiple organizations and platforms

  • Represent Cambia's technical interestsin collaborative initiatives, building alignment through clear technical communication

The expected hiring range for a Senior AI/ML Architect is $153K - $192K/year depending on skills, experience, education, and training; relevant licensure / certifications; and performance history. The bonus target for this position is 20%. The current full salary range for this role is $153K - $250K/year.

#LI-Hybrid

About Cambia

Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.

Why Join the Cambia Team?

At Cambia, you can:

  • Work alongside diverse teams building cutting-edge solutions to transform health care.
  • Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
  • Grow your career with a company committed to helping you succeed.
  • Give back to your community by participating in Cambia-supported outreach programs.
  • Connect with colleagues who share similar interests and backgrounds through our employee resource groups.

We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.

In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:

  • Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
  • Annual employer contribution to a health savings account.
  • Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
  • Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
  • Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
  • Award-winning wellness programs that reward you for participation.
  • Employee Assistance Fund for those in need.
  • Commute and parking benefits.

Learn more about our benefits.

We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.

We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.

If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.



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