Top Machine Learning Jobs in Nashville, TN

Manage post-sale customer relationships, drive product adoption, ensure customer satisfaction, and handle escalations for public sector clients.

The Staff Technical Program Manager will lead complex product development programs, manage schedules, communicate risks, and advocate for changes required to address business shifts, while influencing teams and stakeholders through various initiatives and maintaining program metrics.

As a Senior Technical Recruiter, you will own full lifecycle recruiting for specialized technical roles, ensuring quality and speed throughout the hiring process.

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

The Head of Account Management will lead a high-performance team and manage key enterprise accounts, focusing on client outcomes, revenue growth, and operational efficiency in fraud prevention and compliance.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

The Strategic Account Executive will manage sales strategies, build customer relationships, lead account planning, and drive business outcomes in enterprise software sales, specifically targeting Fortune 500 accounts.

The Director of Product will lead the Insurance Vertical, developing AI-driven data products for insurers, focusing on risk intelligence and fraud detection.

The Senior Software Engineer will design, develop, and integrate tools for CNO development, collaborating with stakeholders to deliver solutions and support operational tools involving AI technologies.

The role focuses on leading editorial efforts to define industry narratives around energy infrastructure, translating regulatory changes into strategic content for executives, and influencing sales and positioning through high-impact communications.

The Principal Architect will lead AI/ML solutions, mentor teams, and collaborate with clients to design and deliver scalable systems using Google Cloud technologies, ensuring compliance with ethical standards.

The role involves leading the enterprise strategy for data analytics and technology modernization, driving data-driven decision making, and managing digital transformation initiatives while building a high-performing team.

The Digital Inside Sales Specialist will identify and close digital transformation opportunities in AI, ML, and automation, focusing on B2B sales within targeted accounts while collaborating with internal teams for technical consultation.

As a Business Operations Associate, you will drive data-driven decisions, partner with teams, design experiments, and optimize processes for business growth.

Lead development of personalized financial products, conduct market analysis, drive product strategy, manage integrations, and mentor team members.

The VP Application Services provides strategic and technical leadership, manages diverse teams, and drives software development to deliver business value at Ingram Content Group.

As a Senior Recruiter for Machine Learning, you will lead global hiring efforts for AI talent, evaluate candidates, build pipelines, and enhance hiring processes.

The Senior Technical Sourcer will identify and engage technical talent globally, build candidate pipelines, conduct market research, and partner with hiring managers to support recruitment efforts.

The Senior Director leads research in Application Platforms & AI, guiding clients in AI strategy and market trends, while producing critical research content and engaging with clients directly.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

The Senior Vice President of Underwriting will oversee underwriting outcomes across multiple lines, driving growth and improving loss ratios through data-driven strategies and leadership.