Top Senior Machine Learning Jobs in Minneapolis, MN

Develop AI approaches using structured and unstructured data, build ML models, perform statistical analysis, and collaborate with stakeholders and experts.

As a Lead AI/ML Engineer, you will design and implement scalable AI solutions, mentor teams, and integrate cutting-edge technologies to improve healthcare applications.

Lead AI/ML engineering initiatives within a healthcare context, overseeing model development, team mentorship, and strategic integration of AI tools to enhance consumer outcomes.

Lead talent acquisition strategy and delivery for AI/ML, data science, and emerging tech roles. Own market intelligence, pipeline and sourcing strategies, role design, hiring metrics, and team leadership. Partner with business and global TA to align hiring priorities, remove hiring bottlenecks, and ensure consistent, data-driven recruitment practices for specialized technical talent.

Design, develop, and deploy Generative AI and ML solutions (LLMs, RAG, agentic frameworks) for healthcare claims adjudication. Build end-to-end pipelines, apply MLOps, ensure LLM security and responsible AI, deploy on cloud platforms, integrate data warehousing, collaborate with product and platform teams, and mentor junior engineers.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

Design, build, and deploy production-grade AI/ML and LLM solutions for claims processing, eligibility, prior authorization, and payment integrity. Build scalable data pipelines, integrate models with core payer systems, ensure HIPAA/PHI-safe pipelines and Responsible AI governance, monitor and retrain models, and partner with cross-functional teams to deliver reliable, CI/CD-driven solutions.

Research and develop LLM and NLP solutions (including agentic AI) for healthcare, collaborate with RUAI and engineering teams, build MLOps pipelines, document code and models, publish/patent novel methods, and ensure solutions comply with company AI policies.

Design, build, and deploy scalable data pipelines and AI/ML solutions using LLMs and agentic frameworks. Implement prompt engineering, fine-tune models, integrate AI workflows in cloud environments, ensure healthcare compliance and Responsible AI, and mentor junior engineers to deliver automated claims adjudication and other production AI systems.

Manage end-to-end catastrophe modeling projects and advise clients on reinsurance strategy, underwriting, pricing adequacy, and portfolio management. Build strong client/broker relationships, perform complex data management and analysis using modern tools, translate technical results for stakeholders, develop regional/peril expertise, and lead internal initiatives to improve processes and thought leadership.

Design, build, and deploy scalable AI/ML models and pipelines for consumer healthcare. Develop production code (Python/Java/Scala), automate infrastructure (Terraform, Kubernetes), validate model performance, integrate cloud services (Azure/AWS), and collaborate cross-functionally to monitor and document enterprise-scale AI solutions.

Design, build, and productionize AI systems (genAI, agents, RAG) with observability, model quality, governance, and responsible-AI controls. Implement serving/inference, cloud deployments, model registry/experiment tracking and cross-functional leadership to scale claim-edit automation and agentic workflows.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead a full-stack engineering team building, deploying, and operating production-grade AI/ML applications (LLMs, deep learning, agentic systems). Drive technical architecture, infrastructure, data, APIs, reliability, security, and ML Ops. Coach and develop engineers, align stakeholders, manage roadmaps, and ensure scalable, maintainable solutions that deliver measurable business value.

Lead and grow an AI/ML engineering team to design, build, and deploy production-grade ML/AI solutions (NLP, NLU, deep learning, CV, ASR). Oversee architecture, MLOps, experiments, model monitoring/versioning, cross-functional collaboration, and ethical AI practices to translate research into scalable business solutions.

Design, build, and deploy production-grade AI/ML models, agentic workflows, and data pipelines using Python, Databricks, LangChain/LangGraph, and Azure. Collaborate with cross-functional teams to translate requirements into scalable LLM applications, implement feature engineering and validation frameworks, and embed responsible AI practices including fairness, security, and monitoring.

Design, develop, and deploy agentic AI workflows and LLM-based automations for clinical and business use. Build scalable RAG solutions, vector DB integrations, and production-grade Python services. Implement AI orchestration frameworks, ensure MLOps/LLMOps, monitor observability, and collaborate with product, clinical, security, and engineering teams to deliver secure, compliant healthcare AI capabilities.

As a Manufacturing Automation Engineer IV, you will lead the design and implementation of automated manufacturing systems, optimize processes, and collaborate with teams to enhance efficiency and quality.

As a Manufacturing Automation Engineer V, you will lead automation projects, design production lines, and optimize processes to enhance safety and efficiency.

Lead product strategy and execution for an AgTech SaaS platform, driving grower workflows, data integration, analytics, IoT partnerships, and commercialization. Own roadmap, write requirements, collaborate with engineering/data science, and measure adoption, revenue retention, and platform usage.

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

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

Design, build, and deploy enterprise-scale generative AI and LLM applications, agentic workflows, and RAG pipelines. Develop full-stack solutions using React/Next.js, Python/Node.js, and PostgreSQL; integrate vector databases and optimize retrieval; lead technical design, mentor engineers, and ensure responsible AI deployment and scalability.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

Develop AI approaches for healthcare, build and test ML models, conduct experiments, analyze data, and collaborate on solutions.