Top AI & Machine Learning Jobs

Leads the deployment, operationalization, monitoring, and continuous improvement of AI/ML models in production. Establishes MLOps automation and workflows, monitors model performance and data drift, resolves incidents, and conducts root cause analysis. Partners with AI engineers, product teams, business stakeholders, and governance functions to define success metrics, meet compliance requirements, and maximize business value.

Leads the deployment, operationalization, monitoring, and continuous improvement of AI/ML models in production. Establishes MLOps automation and workflows, manages model performance and data drift, responds to incidents, and conducts root cause analysis. Partners with AI engineers, product teams, business stakeholders, and governance groups to define success metrics, meet business objectives, and ensure compliance with security, regulatory, and ethical AI requirements.

Lead the deployment, operationalization, monitoring, and continuous improvement of AI/ML models in production. Establish MLOps automation and workflows, ensure scalability and reliability, monitor data drift and performance, resolve incidents, and conduct root cause analysis. Partner with AI engineers, product teams, business stakeholders, risk, compliance, and governance teams to define success metrics, meet business objectives, and ensure regulatory and ethical AI compliance.

Lead end-to-end deployment, operationalization, monitoring, and continuous improvement of AI/ML models in production. Establish MLOps automation and workflows, identify performance issues and data drift, lead incident response and root-cause analysis, and ensure reliable, scalable deployments. Partner with AI engineers, product teams, business stakeholders, risk, compliance, and governance teams to translate business needs into technical requirements, measure outcomes, and meet regulatory and ethical AI standards.

Lead end-to-end product ownership for AI-powered features for SME-focused products. Define EPICs and user stories, collaborate with engineering, design and data science, support LLM and agentic workflows, run discovery and experimentation, and steer delivery to meet scope, budget and timeline.

Lead end-to-end product ownership for AI-powered features (LLM and agentic workflows). Define EPICs and user stories, partner with engineering, design, and data science, run discovery and experiments, steer delivery to scope/budget/timeline, and communicate with technical and non-technical stakeholders.

Lead end-to-end product ownership for AI-powered solutions targeting SMEs: define EPICs and user stories, support LLM and agentic feature development, partner with engineering/design/data science, run discovery and experimentation, steer delivery to roadmap, budget, and timelines, and communicate across technical and non-technical stakeholders.

Lead end-to-end product ownership for AI-powered features, defining EPICs and user stories, partnering with engineering, design, and data science to build LLM-powered conversational and agentic workflows, conduct discovery and experimentation, and ensure timely delivery, compliance with budget and timelines, and clear stakeholder communication.

Lead strategy, development and commercialization of AI-powered products for SMEs. Own product features, define epics and user stories, support LLM/agentic features, partner with engineering, design and data science, run discovery and experimentation, manage delivery against budget and timelines, and communicate with diverse stakeholders. Hybrid role based in Dublin with some travel.

Lead end-to-end product ownership for AI-powered, agentic solutions for SME customers. Define EPICs and user stories, collaborate with engineering/data/design, support LLM and agentic feature development, run discovery and experimentation, and ensure delivery within budget, scope, and timelines.