Top Senior Machine Learning Jobs in Raleigh, NC

Leads organization-wide software engineering initiatives for data pipelines, machine learning platforms, and scalable cloud infrastructure. Oversees architecture, technical execution, resiliency, cost optimization, model monitoring, data drift detection, and model explainability across multiple teams. Establishes engineering standards, governance, success metrics, and strategic technology direction while advising senior management and developing technical talent. The role requires extensive expertise in AWS, ML deployment, big data, infrastructure automation, APIs, agentic frameworks, and RAG.

Develop and implement AI solutions and machine learning systems that enhance products and solve complex client problems. Responsibilities include advanced analytics, LLM production deployment, prompt engineering, RAG pipeline optimization, cross-functional collaboration, technical discovery, responsible AI advocacy, client relationship building, and mentoring junior team members.

Leads digital product strategy, roadmap management, stakeholder engagement, and cross-functional delivery. Uses qualitative and quantitative analytics to prioritize features, identify market opportunities, monitor product performance, and guide continuous improvement. Partners with technology, analytics, operations, and business teams in a matrixed environment while incorporating emerging AI, machine learning, and data science capabilities into product offerings.

Lead product execution and delivery for Broadcom’s Mainframe Resource Intelligence SaaS product. Prioritize roadmaps, backlogs, features, and support issues; translate customer needs into functional stories; remove cross-team roadblocks; and partner with engineering, architecture, UX, and stakeholders. Present product capabilities, manage customer requests, evaluate AI and machine learning opportunities, and track adoption, retention, OKRs, and KPIs.

Leads pricing and revenue data science initiatives for consumer markets clients. Develops predictive models, forecasts trends and customer behavior, manages dashboards and visualizations, ensures data quality, and translates complex analytics into strategic decisions. Oversees client engagements, validates outcomes, directs complex projects, and coaches diverse, high-performing teams.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Builds scalable software, data pipelines, and AI solutions for agricultural R&D analytics. The role integrates scientific data, machine learning models, cloud-native applications, APIs, and production deployment workflows. Responsibilities include containerization, orchestration, model monitoring, AI-assisted development, and collaboration with scientists and analytics teams. The developer also evaluates agentic AI capabilities and ensures solutions are explainable, reliable, secure, governed, and scientifically valid.

Lead go-to-market strategy for Sprout Social’s AI portfolio, including the Trellis AI agent. Develop enterprise launch playbooks, positioning, executive messaging, campaigns, and enablement programs. Analyze market and competitive dynamics, influence product roadmaps, improve launch processes, and partner with Product, Sales, Revenue, Brand, and executive leadership to drive adoption, revenue growth, deal expansion, and category leadership. The role also mentors marketing team members and operates with substantial autonomy.

Designs and maintains automated, AI-enabled detection and response capabilities across enterprise security platforms. Integrates SIEM, EDR, SOAR, and threat intelligence technologies; analyzes security telemetry; develops and validates detection content and automation workflows; documents procedures and runbooks; and collaborates with SOC, threat intelligence, and incident response teams. The role also evaluates emerging security capabilities and supports continuous improvement of detection operations for a federal agency.

Owns the strategy, roadmap, development, and adoption of financial data products and APIs. Partners with data science and engineering to integrate predictive and machine-learning models into scalable, trustworthy capabilities. Defines quality metrics, requirements, documentation, and support models while ensuring privacy, security, regulatory compliance, and downstream adoption across consumer and business banking products.

Leads enterprise AI platform strategy, architecture, engineering, governance, and operations across machine learning, generative AI, agents, data, and business intelligence. Owns platform standards, reusable services, lifecycle management, security, compliance, reliability, vendor commitments, budgets, and consumption. Directs production-scale AI enablement, establishes responsible AI controls, and manages engineering teams, staffing, operating plans, and executive stakeholder alignment.

Own strategy and execution for integrated B2B marketing campaigns that drive enterprise pipeline, self-service growth, platform adoption, and category awareness. Coordinate ABM, content, paid media, events, lifecycle, social, partnerships, PR, and sales activation. Manage launches, optimize audiences and conversion paths, orchestrate teams and agencies, and measure impact across engagement, pipeline, acquisition, product adoption, and awareness.

Drive revenue growth across large enterprise accounts by building pipeline, achieving sales targets, developing account plans, expanding customer relationships, and orchestrating complex software sales. The role involves engaging executive stakeholders, leveraging channel partnerships, collaborating across teams, and selling license, support, and service offerings for Splunk’s security and observability platform.

Drafts, reviews, and negotiates complex data, content, licensing, distribution, vendor, and supplier agreements. Advises internal teams on intellectual property, data and content rights, AI and machine learning use cases, privacy, regulatory compliance, and commercial disputes. Partners with Content, Sales, Marketing, Finance, and Product teams; develops policies, playbooks, and project plans; monitors evolving AI and data regulations; and provides broader corporate legal support.

Lead presales strategy for Workday Adaptive Planning with large enterprise customers. Conduct executive discovery, design tailored solution strategies, deliver demonstrations, communicate value, support sales cycles, showcase AI-enabled planning capabilities, respond to RFPs, represent Workday at events, and mentor peers. The role focuses on FP&A, workforce and operational planning, forecasting, analytics, and executive engagement, with travel of up to 50%.

Provides advanced technical support for robotic systems during commissioning and 24/7 customer operations. Diagnoses hardware, software, controls, Linux, network, and automation failures; analyzes logs and telemetry; develops integrations and support workflows; leads major incidents; coordinates engineering, field service, and customer teams; manages cases and corrective actions; validates AI-assisted diagnostics; and mentors engineers while improving system reliability and recovery times.

Owns the full lifecycle of Cisco’s transaction quoting, booking, and invoicing products. Responsibilities include defining product strategy and multi-year roadmaps, designing commerce data models and ordering rules, leading discovery, simplifying quote processes, coordinating with operations, legal, and finance, and measuring deployment value and ROI. The role requires enterprise commercial workflow expertise, including pricing, order booking, subscription lifecycle management, and Quote to Cash processes.

Provides statistical leadership for Medical Affairs, real-world evidence, comparative effectiveness, HTA, and HEOR activities. Designs and analyzes observational, clinical, Phase IV, and indirect treatment comparison studies; evaluates data quality, bias, uncertainty, and applicability; supports evidence-generation strategies, reimbursement submissions, publications, and scientific communications. Collaborates with statistics, epidemiology, RWE, medical, and external scientific teams to translate complex analyses into actionable conclusions.

The Senior Business Development Representative will generate enterprise sales pipeline through account research, lead identification, outbound calls, emails, and social outreach. The role qualifies opportunities, maintains accurate Salesforce records, represents Rasa’s AI platform, collaborates with sales and marketing teams, and works toward exceeding quotas. This fully remote position requires strong communication, organization, customer empathy, autonomy, and comfort working in a fast-paced startup environment.

Own the strategy and roadmap for Constructor’s search quality and Product Discovery Engine. Drive measurable improvements in relevance, conversion, revenue per visit, and GMV across retail verticals. Partner with ML, data science, and engineering teams to productionize state-of-the-art retrieval, ranking, query understanding, personalization, and LLM capabilities. Establish evaluation frameworks, investigate quality issues, align multiple teams, and expand into chapter-wide product leadership.

Owns operations for Optain’s nationwide network of contracted optometrists and ophthalmologists. Responsibilities include creating provider policies and SOPs, running quality and performance programs, modeling capacity, managing recruitment, handling complaints and urgent findings workflows, and preparing governance decisions for the Medical Director. The role partners with Product and Engineering to automate network processes and requires experience in healthcare operations, clinician networks, clinical quality, credentialing, and multistate licensing.

Lead the technical direction of Quora’s recommendation ecosystem, including feed retrieval, ranking, re-ranking, optimization, data pipelines, feature engineering, model training, and production integration. Drive measurable improvements through experimentation, apply generative AI, mentor engineers, and partner across product, data science, and infrastructure teams.

Leads delivery of large-scale AWS and digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, and customer outcomes. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, drives continuous improvement, and resolves customer issues. The role also involves people management, recruiting, coaching, business development, stakeholder communication, and aligning program portfolios with organizational strategy.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Serve as the primary business intelligence and analytics partner for Governance, Risk & Assurance and the General Counsel Strategy Office. Analyze complex datasets, build dashboards and data models, support data governance and risk initiatives, identify automation and AI opportunities, and translate technical findings into business recommendations. Collaborate across enterprise functions, provide reporting and technology guidance, evaluate AI solutions, and drive adoption of data-informed practices.