1

Privacy Preserving Machine Learning Jobs in Orem, UT

Sets-up machine quickly to ensure product will be ready to go at line start-up. 2. Operates the Net ... Review our applicant privacy notice before applying at Job Requisition: 416750

Manager Data Intelligence

Draper, UT · On-site

$140 - $200/hr

Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent ... Ensure data products comply with regulatory, privacy, security, and compliance requirements.

Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent ... Ensure data productscomply withregulatory, privacy, security, and compliance requirements. * Drive ...

Contribute to the research, design, and development of large-scale foundation models for machine ... preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift ...

Nestle is hiring machine operators specifically the Tisma. The shifts are 10 hr rotating shifts ... Review our applicant privacy notice before applying at Job Requisition: 416772

Raque Operator

Springville, UT · On-site

$23.90/hr

Nestle is hiring machine operators specifically the raque or mondini (cheese/topping dispensers ... Review our applicant privacy notice before applying at Job Requisition: 416771

Senior Developer 1

Lehi, UT · Hybrid

$51.25 - $67.50/hr

... machine or email address, or directly to Verisk employees, will be considered Verisk property ... Verisk Employee Privacy Notice * 5-10 years of experience or similar ability in software ...

Showing results 21-33

Privacy Preserving Machine Learning information

See Orem, UT salary details

$86.5K

$100.4K

$112.6K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for privacy preserving machine learning in Orem, UT is $100,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $112,100.00 per year, depending on experience, location, and employer.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Orem, UT?

For Privacy Preserving Machine Learning jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Orem, UT look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Orem, UT are:

Infographic showing various Privacy Preserving Machine Learning job openings in Orem, UT as of June 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $100,417 per year, or $48.3 per hour.

VP, Marketing Operations & Digital Platform

Pluralsight, LLC

Westlake, TX • On-site

Other

Medical, PTO

Posted 12 days ago


Job description

Job Description:

Marketing moves fast - and it needs an operator who can keep pace with it. As VP, Marketing Operations & Digital Platform, you'll lead the infrastructure behind every Marketing initiative: the technology, automation, data, and program management that turn strategy into execution. You'll own our GTM systems, our martech stack, and pluralsight.com itself - partnering closely with the CMO, CEO, CFO, and leaders across Revenue, Product, IT, and Data to make Marketing faster, sharper, and more accountable.

Who You're Committed to Being:

  • A systems thinker: You see the connections between strategy, technology, and outcomes - and you build the infrastructure that makes those connections reliable.

  • A steady hand in complexity: Competing priorities, executive expectations, ambiguous problems - you bring clarity and calm decision-making when it matters most.

  • A trusted operator: CEOs and CFOs bring you hard questions about investment and risk. You give them straight answers backed by data.

  • A builder of teams: You grow senior leaders, strengthen organizations, and know when to build capability in-house versus bring in a partner.

What You'll Do:

  • Plan: Lead annual and quarterly Marketing planning - priorities, capacity, resourcing, and the operating rhythms that keep everyone aligned and moving.

  • Operate: Own lead scoring, attribution, campaign tracking, and the Marketo-Salesforce integration that powers our GTM engine.

  • Build: Set the martech roadmap and lead Marketing Automation - Marketo, Iterable, deliverability, and platform health - while evaluating where AI and automation create real leverage.

  • Grow: Own pluralsight.com end to end: B2B and B2C journeys, conversion optimization, SEO/AEO/GEO strategy, and platform performance.

  • Deliver: Lead Marketing Program Management, rebuild our Asana infrastructure, and hold cross-functional initiatives accountable to outcomes.

  • Invest: Own the Digital Platform, Martech, and Marketing Ops budgets - vendor strategy, negotiations, and the ROI story you bring to the CMO and CFO.

Experience You'll Bring:

  • 15+ years across Marketing Operations, digital platforms, martech, revenue operations, or program management - with real depth in a B2B SaaS or complex tech environment.

  • A track record of building or transforming a Marketing Operations function, not just running one.

  • Fluency in funnel architecture, attribution, campaign tracking, CRM integrations, and marketing data governance.

  • Experience owning website strategy, digital journeys, analytics, and conversion optimization at scale.

  • Comfort presenting investment decisions and risk directly to CEOs, CFOs, and enterprise leadership.

  • A history of leading blended teams - employees, agencies, contractors, and technology partners - through real change.

Requirements:

  • 15+ years in Marketing Ops, digital platforms, martech, or program management

  • Experience leading leaders and multidisciplinary teams

  • Ownership of technology and operations budgets, vendor strategy, and contracts

  • Experience with privacy, security, and data-governance requirements (GDPR, CCPA, SOC 2)

  • Bachelor's degree or equivalent experience

  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Nice to Have:

  • Experience across both B2B enterprise and B2C / self-service models

  • Hands-on with Adobe Experience Manager, Marketo, Iterable, Salesforce, Asana

  • SEO, AEO, and GEO strategy development

  • Ecommerce, checkout, trials, or product-led growth experience

  • Led a major GTM systems or digital platform transformation

Why you'll love working here:

  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.

  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.

  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.

  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

This role is primarily performed in an office or home office setting and involves standard computer-based work.

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

The annual US base salary range for this role is $227,000-$270,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.