Top Remote Machine Learning Jobs in Minneapolis, MN

Leads development of production-grade AI/ML solutions, including generative AI, RAG, agentic workflows, conversational AI, and predictive models. Designs, evaluates, deploys, and improves secure, scalable services while implementing responsible AI controls, observability, testing, and CI/CD practices. Integrates AI with enterprise data, APIs, cloud platforms, and digital channels; mentors engineers and drives initiatives from proof of concept through production.

Leads enterprise AI/ML engineering teams and defines strategy for AI-ready data and context platforms. Owns semantic architecture, ontologies, knowledge graphs, metadata, data quality, governance, and contextual data products supporting generative AI, intelligent search, decision support, and agentic workflows. Partners with senior stakeholders, translates AI priorities into platform capabilities, evaluates emerging technologies, and mentors technical leaders.

Leads enterprise AI/ML engineering strategy, architecture, and delivery for AI-ready data and context platforms. Responsibilities include building semantic models, ontologies, knowledge graphs, metadata capabilities, and contextual data products supporting generative AI and agentic workflows. The role directs engineering teams, establishes standards for semantic interoperability and data governance, partners with senior stakeholders, defines platform roadmaps, evaluates emerging technologies, and mentors technical leaders.

Leads AI/ML engineering teams and defines enterprise strategy for AI-ready data and context platforms. Owns architecture and delivery of semantic models, ontologies, knowledge graphs, metadata capabilities, and contextual data products supporting generative AI, intelligent search, decision support, and agentic workflows. Partners with senior stakeholders on governance, data quality, security, and interoperability while mentoring technical leaders and evaluating emerging technologies.

Own the strategy, roadmap, commercialization, and revenue outcomes for an AI-powered healthcare revenue cycle automation portfolio. Lead pricing, packaging, market analysis, launches, customer adoption, and portfolio performance. Partner with engineering, data science, design, clinical, legal, compliance, sales, and marketing teams to deliver explainable, auditable AI workflows and scale products from concept through multi-customer deployment.

Leads enterprise AI-ready data and context platforms supporting generative AI and agentic workflows. Responsibilities include defining strategy and architecture for semantic models, ontologies, knowledge graphs, metadata, and contextual data products; integrating structured and unstructured data; establishing governance, quality, security, and interoperability standards; partnering with senior stakeholders; evaluating emerging technologies; and leading and mentoring multidisciplinary AI/ML engineering teams.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.

Leads multiple AI/ML engineering teams delivering enterprise AI, generative AI, agentic AI, and automation solutions. Oversees platform strategy, software delivery, responsible AI governance, cloud adoption, and operational excellence. Partners with product and engineering leaders on healthcare solutions, mentors technical teams, and manages AI initiatives spanning claims automation, conversational AI, predictive analytics, and intelligent workflows.

Leads the design, development, deployment, and operation of enterprise AI and machine learning solutions, including generative AI, LLMs, conversational AI, predictive analytics, RAG, and agentic systems. Provides technical direction, mentors engineers, establishes responsible AI governance and model lifecycle practices, evaluates cloud AI services, and aligns initiatives with enterprise strategy. Ensures production quality, operational excellence, regulatory compliance, and delivery of healthcare-focused AI platforms.

Leads FP&A and forecasting transformation within Finance AI pods. Maps current processes, designs AI-enabled future-state workflows, defines requirements, validates proof-of-concept systems, and ensures financial outputs are accurate, explainable, auditable, and adoptable. Partners with Finance, Data, Technology, Risk, Controls, and executive stakeholders to improve forecasting, variance analysis, scenario modeling, performance reporting, and decision support.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, roadmaps, methodologies, and delivery standards. Advises customers and executives, facilitates discovery and workshops, develops proposals and business cases, supports presales pursuits, and partners with technical teams on integrated AI solutions. Oversees delivery quality, risk management, staffing, and customer outcomes while mentoring consulting and presales professionals.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, prioritization, and roadmaps. Develops consulting methodologies, delivery frameworks, sales enablement, and thought leadership. Advises executives and customers, leads complex presales pursuits, shapes proposals and business cases, oversees delivery quality and risk, evaluates technical feasibility, and mentors consulting and presales teams.

Leads complex enterprise AI consulting engagements, designing and implementing generative AI, agentic AI, MLOps, model-serving, and infrastructure solutions. Advises executives, leads architecture reviews and technical governance, supports sales pursuits, develops standards and reusable offerings, and mentors technical teams. The role requires strong expertise in AI architecture, NVIDIA technologies, Python, Kubernetes, GPU infrastructure, security, operations, and client-facing consulting.

Leads the supply chain compliance program supporting defense, government, and Intelligence Community customers. Develops policies, controls, supplier due diligence, risk assessments, audits, flow-down requirements, corrective actions, reporting, and training. Partners cross-functionally to manage regulatory, cybersecurity, quality, export, sanctions, and information-protection obligations. Evaluates ERP, GRC, contract lifecycle, automation, analytics, and AI solutions to improve compliance visibility and supplier risk management. Advises executives and teams while maintaining audit-ready records and supporting supplier visits and customer engagements.

Define and own the technical vision, product strategy, roadmap, data strategy, and AI integration for CrowdStrike’s Next-Gen SIEM and log management products. Translate customer, market, and threat intelligence into shipped capabilities; lead cross-platform integration across endpoint, cloud, identity, and exposure products; and articulate the platform consolidation narrative. Engage executives, customers, analysts, sales, engineering, and product teams while driving detection, investigation, response automation, and cybersecurity thought leadership.

Leads AI strategy and solution-delivery engagements for pharmaceutical, biotechnology, and medical technology clients. Advises senior executives, designs AI transformation roadmaps and scalable architectures, oversees multidisciplinary teams through implementation and value realization, and embeds responsible AI, privacy, cybersecurity, regulatory, and GxP considerations. The role also develops repeatable offerings, supports proposals and account growth, mentors senior leaders, and requires travel to client locations.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Build and deploy production-grade AI and machine learning solutions for marketing and sales, including LLM agents, data-quality pipelines, semantic search, RAG, analytics, and integrations with Salesforce, Marketo, and Adobe platforms. Define evaluation and governance practices, monitor AI services, implement privacy controls, and collaborate with platform teams. Train and mentor technical and business stakeholders on responsible AI adoption while supporting DevOps, incident response, and operational runbooks.

Leads complex AI strategy and solution-delivery engagements for pharmaceutical, biotechnology, and medical technology clients. Serves as the primary client advisor, translating scientific, operational, technical, and regulatory needs into scalable solution designs and implementation plans. Manages governance, workstreams, risks, resources, and executive reporting while guiding multidisciplinary teams. Develops reusable AI delivery methods, reference architectures, playbooks, and enterprise offerings, incorporating privacy, cybersecurity, model risk, validation, GxP, and responsible AI considerations.

Leads AI consulting engagements for payer organizations, translating business challenges into prioritized use cases, solution designs, implementation roadmaps, and measurable value cases. Manages client relationships, multidisciplinary teams, project economics, scope, schedules, staffing, and risk. Partners with sales on proposals and statements of work while developing reusable offerings. Integrates privacy, security, regulatory compliance, model risk, and responsible AI principles into healthcare solution delivery.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.