Top Machine Learning Jobs in Minneapolis, MN

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead and mentor multiple engineering teams to deliver AI-enabled MSK platform solutions. Drive AI strategy, design and deploy responsible ML solutions, ensure regulatory (CMS) compliance, oversee vendor partners, modernize platform architecture, and manage production support and incident governance.

Provide legal counsel on AI and advanced technology initiatives across UnitedHealth Group, supporting development, deployment, governance, contracting, and regulatory responses. Partner with technical and business stakeholders, advise the AI Review Board, maintain templates/playbooks, and support technology-related transactions and operations.

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

Lead vision, strategy, and roadmap for Agentic AI, automation, and intelligent workflows across HR. Identify opportunities, design future-state experiences, build reusable platforms, evaluate vendors and technologies, establish governance and responsible AI practices, and drive cross-functional adoption to deliver measurable business outcomes.

Lead analytics for Medicaid quality programs: build analytical frameworks, perform data analyses and causal inference to evaluate program impact, translate requirements into scalable data models, collaborate with cross-functional teams, and communicate findings and risks to stakeholders to drive quality improvements.

Lead OptumRx capability strategy and execution across pharmacy and PBM operations. Drive AI-native transformation, platform and automation investments, operational modernization, regulatory compliance, and financial value realization. Align cross-functional teams, oversee platform delivery, and scale talent to improve member, provider, and client experiences while meeting regulatory and business targets.

Support Treasury by building forecasting models, analyzing cash flow drivers, implementing ML predictive models, creating automated Power BI reports and ETL workflows, ensuring data integrity, and presenting insights to senior leadership.

Partner with healthcare clients to discover, design, and deliver production-grade AI/LLM solutions. Architect cloud-native systems, build and deploy ML/LLM applications, prototype rapidly, troubleshoot distributed systems, and lead client engagements to drive measurable business outcomes while collaborating across product, platform, and engineering teams.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

Lead AI/ML strategy for Medicare & Retirement, identify and prioritize high-impact AI use cases, secure funding, and oversee end-to-end delivery of production-grade AI/ML and Agentic AI solutions. Build and mentor large AI engineering teams, embed responsible and secure AI practices, partner cross-functionally, and communicate outcomes to senior leadership.

Lead Oracle Cloud finance transformation engagements, set strategic direction, oversee complex implementations, mentor teams, build client relationships, and drive process and technology improvements across ERP and EPM solutions.

The Staff ML Engineer will design and operate Samsara's ML platform, collaborating with teams to enhance ML features and improve safety outcomes. Responsibilities include overseeing system reliability, leading technical direction, and mentoring engineers.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Intern will own and deliver a scoped engineering project on Deepgram's voice platform (ASR/TTS/LLM/API/SDK), ship reviewed code to staging/production, use AI in development workflows, improve a component measurably, and present results with documentation.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Lead planning, deployment, tuning, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Implement and troubleshoot AI-driven detection models, automation playbooks, API integrations, and threat-hunting for customers. Provide training, mentorship, and customer-facing collateral while optimizing detection efficacy and integrating Falcon into customers' security workflows.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

Analyze malware and customer detection reports to improve machine-learning based detections, reduce false positives, reverse engineer binaries, review product detections, and support internal teams on threat detection efficacy and remediation.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

Senior CAO Elite Analyst II performs advanced threat hunting, dark web and intelligence research, delivers customer briefings, responds to ad-hoc intel requests, validates security controls using MITRE ATT&CK, and partners across teams to protect and advise enterprise customers.