Top Machine Learning Jobs in Salt Lake City, UT

Manage the implementation of iQueue for Operating Rooms, collaborating with healthcare clients to optimize workflows and ensure successful adoption of the product.

The Director, Strategy & Insights will enhance client performance using advanced analytics and machine learning, ensuring client satisfaction and achieving revenue goals through strategic planning and cross-functional collaboration.

Lead AI transformation initiatives for clients, developing customized AI strategies, driving measurable outcomes, and managing end-to-end AI delivery processes.

The Regional Account Manager will manage client relationships, ensure client retention, and develop strategies to meet client needs in the healthcare industry, focusing on improving performance and securing renewals.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

The Agentic AI Product Manager will lead the AI product lifecycle, collaborating across functions to launch AI solutions integrated with ServiceNow, focusing on customer outcomes and market fit.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The Sales Development Representative will identify new business opportunities, qualify leads, and support sales strategies in the U.S. market, collaborating with sales and marketing teams to enhance lead generation and relationships.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

As a Sales Manager at Cloudbeds, you'll identify new business opportunities, build relationships, and showcase SaaS solutions for hospitality clients, focusing on client acquisition through proactive outreach and product demonstrations.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The Engineering Manager for Smart Signals leads a team, manages execution, and maintains technical depth in backend systems for fraud detection. They shape strategy and coordinate across teams to enhance product quality.

As a Credit Risk Senior Analyst at Marqeta, you'll lead underwriting strategies, refine credit policies, conduct risk analyses, and present findings to senior management.

As Global AML Lead, you will oversee AML operations globally, lead regional teams, modernize processes using AI, and ensure compliance with regulations.

The role involves developing software solutions with a focus on machine learning, ensuring scalability, performance, and real-time system communication, while promoting best practices and collaboration within a technical team.

The role involves collaborating across departments to build AI-driven models, optimizing data for decision support, and developing scalable solutions for business growth.

As Lead Data Scientist, you will develop machine learning and generative AI solutions for financial planning and strategic decision-making, mentor team members, and engage with finance leadership.