1

Machine Learning Contract Jobs in Utah (NOW HIRING)

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Conduct a comprehensive, end-to-end review of complex contracts to ensure billing, terms, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Conduct a comprehensive, end-to-end review of complex contracts to ensure billing, terms, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Conduct a comprehensive, end-to-end review of complex contracts to ensure billing, terms, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Work directly with sales and commercial leads to uncover friction points in pricing and contract ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Work directly with sales and commercial leads to uncover friction points in pricing and contract ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Work directly with sales and commercial leads to uncover friction points in pricing and contract ...

next page

Showing results 1-20

Machine Learning Contract information

See Utah salary details

$12

$20

$28

How much do machine learning contract jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for machine learning contract in Utah is $20.78, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.17 per hour, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

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

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

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 cities in Utah are hiring for Machine Learning Contract jobs? Cities in Utah with the most Machine Learning Contract job openings:
Infographic showing various Machine Learning Contract job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 19% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $43,213 per year, or $20.8 per hour.
Sales Operations & AI Strategy Manager

Sales Operations & AI Strategy Manager

Talkdesk

Salt Lake City, UT • On-site

$104K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

The Opportunity
We are looking for a forward-thinking, hands-on Manager of Sales Operations to modernize the engine room of our sales organization. While this role oversees the Sales Operations function, your primary mission will be to evolve our "lead-to-quote" journey from a manual workflow into an AI-augmented, frictionless, and highly scalable ecosystem.
The ideal candidate is a Salesforce power user who isn't just comfortable with a clean spreadsheet, but is passionate about leveraging machine learning and automation to eliminate administrative drag. You will bridge the gap between traditional operations and the future of AI-driven sales, providing the executive team with predictive insights to steer our growth.
Key Responsibilities
AI Implementation & Automation: Evaluate and deploy AI tools to automate routine tasks within the sales lifecycle, such as automated lead scoring, AI-assisted deal triaging, and generative contract summaries for the legal and finance teams.
Intelligent Process Optimization: Re-architect the end-to-end sales lifecycle-from lead routing and CPQ to revenue recognition-by identifying bottlenecks that can be solved through intelligent automation and workflow triggers.
Predictive Strategic Insights: Move beyond historical reporting. Use AI-driven analytics to enhance sales forecasting accuracy, identify "at-risk" pipeline deals, and deliver proactive performance metrics to drive executive decision-making.
Next-Gen Systems Management: Own the roadmap for Salesforce CRM and integrated AI sales tools. Ensure our tech stack isn't just a database, but a proactive assistant that enhances sales productivity.
Cross-Functional Synergy: Act as the strategic lead between Sales, Finance, and Legal to ensure AI-driven processes remain compliant, ethically sound, and aligned with our broader go-to-market strategies.
Change Management: Lead the transition from manual operations to automated workflows, providing the training and documentation necessary to ensure high adoption of new AI tools across the organization.
Qualifications
Experience: 5+ years in Sales Operations, Revenue Operations, or Finance, with a demonstrable track record of implementing automation or AI-driven process improvements.
SaaS & Data Expertise: Deep understanding of the SaaS business model (ARR, consumption, churn) coupled with an understanding of how data quality impacts AI model effectiveness.
Technical Proficiency: Advanced knowledge of Salesforce CRM and Salesforce CPQ is required. Familiarity with AI integration platforms, Snowflake, or BI tools (Tableau, Looker) is a significant advantage.
Operational Innovation: Proven track record of reducing "Lead-to-Cash" cycle times through technology and eliminating manual data entry/errors.
Education: Bachelor's degree in Business, Finance, Data Science, or a related field.
Who You Are
A Builder: You aren't just a maintainer of the status quo; you enjoy building systems from the ground up. You have a "product manager" mindset toward internal tools, constantly iterating to create a more robust and scalable infrastructure.
An "Architect": You build scalable, automated systems that prevent issues from occurring in the first place.
AI-Fluent: You stay ahead of the curve on generative AI and machine learning trends, specifically how they apply to CRM efficiency and sales productivity.
Data Purist: You understand that "garbage in equals garbage out" and maintain a high bar for data integrity to ensure AI outputs are reliable.
Strategic Problem Solver: You thrive on finding the most efficient path between two points and aren't afraid to disrupt the status quo to get there.
Note to Candidates: This is a high-impact role designed for someone who wants to define the future of Sales Ops. If you are excited about moving beyond manual management and into the era of the "Autonomous Sales Org," we want to hear from
you.
Pay Range (OTE Pay): $104,000 - $148,000
Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.
Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).
Retirement Benefits: 401(k) plan
Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.
Paid Holidays: Talkdesk offers 14 paid holidays each year.
Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.
Method of Application: Apply online.
Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 06/12/2026
Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.
All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world's most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.