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Machine Learning Consultant Jobs in Utah (NOW HIRING)

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Bachelor's Degree. * 10+ years of complex ecommerce, ERP, MRP, PLM, CRM, or consulting-type ...

... Oracle consulting practice, will provide you with the opportunity to help organizations use ... Machine Learning and Analytics in conjunction with their ERP platform. You will bring a blend of ...

... learning through mentorship, particularly in machining and lab equipment use. This individual will ... consultation. This role plays a vital part in maintaining research continuity, safety standards ...

Retail Sales Associate

Ogden, UT · On-site

$16.50 - $18/hr

... consultative approach. * Contribute to a positive team atmosphere dedicated to the company ... Become an expert in our product and services through active self-led learning and company driven ...

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Machine Learning Consultant information

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How much do machine learning consultant jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for machine learning consultant in Utah is $54.49, according to ZipRecruiter salary data. Most workers in this role earn between $38.60 and $75.04 per hour, depending on experience, location, and employer.

What does a Machine Learning Consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What does a machine learning consultant do?

A machine learning consultant designs, develops, and implements machine learning models to solve business problems. They analyze data, select appropriate algorithms, and use tools like Python or R to create predictive systems, often working closely with data scientists and engineers. Their role involves understanding client needs, optimizing models, and ensuring deployment and performance of machine learning solutions.

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

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working with advanced tools like Python, TensorFlow, or cloud platforms.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is evolving with advancements in AI, but human expertise remains critical for innovation, troubleshooting, and ethical considerations.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools and frameworks, and they usually require advanced degrees and certifications. Compensation at this level reflects significant responsibility and impact within organizations focused on AI development and deployment.

What does a typical project look like for a Machine Learning Consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

What are the most commonly searched types of Machine Learning Consultant jobs in Utah? The most popular types of Machine Learning Consultant jobs in Utah are:
Infographic showing various Machine Learning Consultant job openings in Utah as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $113,347 per year, or $54.5 per hour.
Senior Enterprise Account Executive

Senior Enterprise Account Executive

Pattern

Lehi, UT • On-site

Full-time

Posted 12 days ago


Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. 
 
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com.
 
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.

We need a Senior Enterprise Account Executive to develop key growth sales strategies, tactics, and action plans to achieve financial targets. In this role, you will find sales opportunities, follow up on leads, build relationships, understand customer trends, close the sales process with a signed contract, and hit quarterly and annual targets to increase revenue. 
 
This is a full-time role and will work a hybrid schedule based in Lehi, UT.
What is a day in the life of a Senior Enterprise Account Executive?
  • Research and understand the prospective client’s business goals, objectives and challenges.
  • Ability to communicate value propositions and recommendations effectively to the leadership within a prospective partner.
  • Active involvement in the implementation of each new partner to ensure a quick and complete realization of revenue.
  • Develop a culture of solution-based selling with a focus on value-based outcomes VS. feature/function.
  • Deliver aggressive sales plans by segment and territory.
  • Be an exemplary brand champion and work closely with marketing and product to maximize brand awareness and lead generation possibilities.
  • Comfortable using Salesforce and Strategic Selling Methodologies. – MEDDIC, Solution Selling and Challenger Sale Methodologies.
  • Must be willing to travel up to 25% of the time.
What will I need to thrive in this role?
  • Bachelor's Degree.
  • 10+ years of complex ecommerce, ERP, MRP, PLM, CRM, or consulting-type enterprise selling at the C-Suite.
  • Proven sales executive experience, meeting or exceeding targets.
  • Proven ability to drive the sales process from plan to close.
  • Demonstrable experience as head of sales, developing client-focused, differentiated and achievable solutions.
  • Excellent listening and negotiation skills.
  • Ability to represent Pattern in a polished and professional manner to existing and potential clients.
  • Strong work ethic and self-discipline.
We are looking for individuals who are:
  • Game Changers - A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.
  • Data Fanatics - A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed - An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers - Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.
What is the hiring process?
  • An initial phone interview with Pattern’s talent acquisition team.
  • A video or onsite interview with Pattern’s Director of Enterprise Sales.
  • An onsite interview with CRO and VP of Sales.
  • A video interview with Pattern’s Director of Enterprise Sales.
  • Reference checks.
  • Executive review.
How can I stand out as an applicant?
  • Discuss professional accomplishments with specific data to quantify examples.
  • Provide insights on how you can add value and be the best addition to the team.
  • Focus on mentioning how you would be partner obsessed at Pattern.
  • Share experience on any side projects related to data and analytics.
Why should I work at Pattern?
 
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
 
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred. 
 
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.