Top Machine Learning Jobs in Fayetteville, AR

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

Lead strategy and execution for enterprise and mid-market GTM across multi-unit restaurant brands. Drive C-suite engagements, modernize sales motions, scale AI-powered forecasting, partner with Product/Engineering, and represent Toast in industry forums to win large, complex contracts.

Lead strategy and execution to attract, engage, and retain a global community of Pluralsight authors. Build author communications, engagement programs, communities, recognition, and events. Elevate author visibility (Author Fellows), integrate author expertise across Sales, Marketing, Customer Success, Product, and Learning Experiences, and lead a multidisciplinary team to drive measurable business impact.

Designs, develops, tests, deploys, and maintains scalable software solutions. Collaborates with product, project, business, and UX teams; troubleshoots production issues; performs root cause analysis; manages technical projects; supports users; mentors engineering teams; implements automation and telemetry; and ensures security and coding standards. Requires expertise in object-oriented programming, software design, APIs, platform development, debugging, testing, agile delivery, and CI/CD.

Lead development and execution of compliance and ethics strategies, analyze regulatory trends, manage risk assessments, update policies, monitor compliance, report findings to senior leadership, mentor team members, and collaborate cross-functionally to drive continuous improvement and operational excellence.

Develop and close net-new state and local government accounts for LearnVantage workforce training solutions. Build pipeline through Accenture relationships and independent prospecting, engage senior agency leaders, navigate public-sector procurement, present consultative solutions, exceed bookings targets, demonstrate workforce and citizen-service ROI, and provide market feedback to curriculum and product teams.

Leads AI- and data-driven manufacturing transformation strategies for Life Sciences clients. Advises C-suite and operations leaders, develops AI strategies, business cases, roadmaps, operating models, and responsible AI plans, and oversees large-scale greenfield and brownfield manufacturing programs. Drives digital twin, automation, data platform, advanced analytics, generative AI, and AI/ML deployments from proof of concept through enterprise scale. Builds executive relationships, originates opportunities, manages partner ecosystems, develops manufacturing capabilities, and leads teams, delivery, financial performance, and risk.

Drive enterprise sales for LearnVantage workforce learning solutions. Partner with Accenture account teams, develop pipelines across existing and greenfield accounts, engage C-suite stakeholders, present consultative solutions, close new logos, expand accounts, and achieve bookings targets. Demonstrate ROI from AI, data, cloud, networking, 5G, and certification training while sharing client feedback with product and curriculum teams. Travel may range from 25% to 50%.

Embeds with Accenture strategic account teams to identify, develop, and close enterprise LearnVantage workforce transformation opportunities. Builds relationships with account leaders and C-suite clients, presents value-based business cases, designs AI, data, cloud, networking, and certification solutions, manages pipeline and forecasting, navigates commercial processes, and expands engagements into multi-year partnerships. Travel to client sites and Accenture offices is estimated at 30–50%.

Build and scale analytics capabilities for Walmart’s eCommerce Marketplace. Define KPIs, analyze product and marketplace performance, develop dashboards and data pipelines, improve governance and data quality, conduct experiments and predictive modeling, and deliver actionable recommendations. Partner with Product, Engineering, Finance, Business, and senior leadership to identify growth opportunities, evaluate impact, manage risk, and support seller growth, customer experience, and profitability.

Leads the design and delivery of scalable platform capabilities across the full software development lifecycle. Designs cloud-native systems, develops AI-driven applications, integrates ML components, and leads system design reviews. Mentors engineers, influences architecture, collaborates with stakeholders, defines success metrics, and promotes engineering excellence through continuous improvement, automation, and knowledge sharing.

Design, develop, test, deploy, and maintain scalable cloud-native software and platform capabilities. Build AI/ML-enabled applications, automation tools, microservices, and APIs while supporting CI/CD, observability, security, and performance improvement. Collaborate with engineers, product managers, data scientists, and business stakeholders to translate requirements into technical solutions. Lead design reviews, mentor engineers, influence technical decisions, troubleshoot complex issues, and promote engineering excellence.

Lead a global product team building automation-first, AI-assisted investigation and agent-facing tooling for AML, KYC, EDD, and sanctions screening. Define roadmap, metrics, vendor strategy, and regulatory controls to improve investigation quality, cycle time, and operational efficiency while ensuring security, privacy, and auditability.

Leads Walmart Marketplace’s global emerging-threat strategy, identifying and mitigating seller fraud, identity risk, counterfeit activity, prohibited goods, misrepresentation, and coordinated abuse. Partners with Data Science, Engineering, Compliance, Trust & Safety, and Product to develop risk models, automation, detection frameworks, governance, and performance metrics. Provides executive briefings, manages external risk partners, and leads a global team of threat analysts, investigators, and strategists.

Owns end-to-end delivery of software features, services, APIs, user interfaces, and ML components. Develops, tests, deploys, monitors, and maintains scalable applications using modern software engineering, cloud, DevOps, and infrastructure-as-code practices. Designs microservices and database architectures, builds CI/CD and DevSecOps pipelines, integrates AI/ML capabilities, troubleshoots performance issues, and collaborates with stakeholders and engineering teams. Provides technical leadership, mentorship, documentation, and continuous improvement while ensuring quality, reliability, security, and business alignment.

Build scalable AI and ML platforms for autonomous retail space planning, including feature stores, model runtimes, agentic workflows, and CI/CD infrastructure. Own the full software lifecycle from architecture and coding through deployment, monitoring, and maintenance. Lead system design reviews, influence technical decisions, mentor engineers, and align cross-functional stakeholders on rollout strategies. Apply modern programming languages and cloud-native practices to deliver secure, modular, and resilient enterprise systems.

Leads credit acquisition risk strategy for CareCredit and health and wellness portfolios. Develops and monitors credit strategies, challenger tests, risk mitigation initiatives, and new products while balancing growth and credit losses. Analyzes data from multiple systems, validates models, evaluates fraud and credit risk tools, and provides strategic recommendations to senior leadership. Requires cross-functional leadership, advanced analytics, SAS programming, statistical tools, and occasional business travel.

Leads the design and development of scalable cloud-native, AI-powered software systems for Walmart’s last-mile delivery initiatives. Provides architectural and technical leadership, drives DevOps, CI/CD, reliability, observability, and performance, resolves architectural bottlenecks, mentors engineers, and collaborates across teams. The role also supports machine learning model monitoring, evaluation, API integration, automation, and continuous improvement.

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 B2B activation marketing to drive patient starts from commercial referral channels by building scalable systems, attribution frameworks, and repeatable playbooks. Implement MarTech and data-driven strategies, run A/B and incrementality tests, automate campaign execution using AI/ML and LLM tools, and templatize activation campaigns while managing and growing a cross-functional team.

Designs reusable AWS cloud, migration, data, and AI architecture assets; supports sales pursuits, proposals, estimates, workshops, and demonstrations; provides technical leadership during delivery; conducts architecture reviews; establishes governance standards; mentors architects; manages AWS partner relationships; and promotes Agentic AI and analytics solutions.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Leads Walmart’s global UGC compliance program, including moderation policies, regulatory controls, risk management, escalation processes, analytics, and trust and safety initiatives. Partners with technology, product, and engineering teams to deploy scalable content moderation and digital safety solutions using AI and machine learning. Oversees policy development, operational improvements, vendors, cross-functional teams, metrics, and compliance capabilities covering child safety, intellectual property, endorsements, and platform liability.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.