Top Machine Learning Jobs in Dublin

Lead product vision, strategy, and roadmap for Claim Review products. Collaborate with engineering, AI/ML, analytics, and GTM teams to build data-driven, cloud-based solutions. Prioritize features, measure KPIs, ensure successful launches, and scale client-proven innovations while monitoring market and regulatory trends.

Lead product strategy and execution for transaction data, consent, authentication, and AI-enabled data services. Define roadmaps, drive API-driven platform delivery, validate customer needs, collaborate with engineering, privacy, security, and legal, and use data and AI tools to measure and improve product outcomes.

Lead product strategy and execution for Provider Education and Coding Advisor products, define vision and roadmaps, collaborate with engineering/AI/analytics, measure KPIs and ROI, drive go-to-market and scale client-proven innovations, and monitor market and regulatory trends.

Lead global Quality Engineering for CNPF products, defining QE strategy across full-stack, data/ML, and infrastructure. Build and manage teams, drive test automation, shift-left/right practices, establish AI/data quality frameworks, own release gates, conduct root-cause analyses, manage budgets/vendors, and represent QE externally.

Lead a multidisciplinary engineering team to design, build and deliver scalable AI and quantum-enabled payment products. Define requirements, drive project execution using agile and AI-assisted processes, mentor engineers, coordinate with data scientists, and represent the team internally and externally.

Lead a multidisciplinary engineering team building scalable Quantum and AI/ML-enabled payment products. Define requirements, drive agile delivery, research/design solutions, manage projects, coach talent, and engage with external partners and events.

Lead and manage an agile software engineering team building scalable AI and Quantum-infused payment solutions; define requirements, drive delivery, mentor talent, collaborate with data scientists and UI/UX, and represent the team externally.

Lead a multidisciplinary engineering team to design, build and scale AI and Quantum-enabled payment solutions. Drive agile delivery, define requirements, productionize Python/Jupyter solutions, deploy on Kubernetes, mentor talent, and engage with internal and external innovation partners.

Lead and manage a multidisciplinary engineering team building scalable products that combine Quantum and AI/ML technologies. Drive project delivery using agile and AI-assisted processes, define requirements, design scalable solutions, engage external partners, and mentor engineering leaders to bring innovations to market globally.

Lead and manage a multidisciplinary engineering team to design, build and deliver scalable software products that combine Quantum and AI/ML technologies; define requirements, drive agile execution, mentor talent, and engage with internal and external partners to bring innovative payment solutions to market.

Lead and manage an agile software engineering team to design, build and scale innovative products that combine Quantum and AI/ML. Define requirements, drive project execution, collaborate with data scientists and engineers, and deploy solutions using Python, Jupyter and containerized virtual environments (including Kubernetes). Coach and grow talent, ensure compliance with standards, and represent the team externally.

Lead and manage a software engineering team in Mastercard Foundry R&D focused on Quantum, AI/ML. Define requirements, design scalable solutions, drive agile project delivery, collaborate with data scientists and engineers, deploy Python/Jupyter-based systems to production (including Kubernetes), and coach talent while promoting innovation.

Lead Technical Product Manager to define and deliver AI-powered products, manage AI rules and operational workflows, own roadmap and backlog, partner with engineering/data science/operations, and ensure scalable, measurable AI solutions.

Lead the definition, delivery, and operation of AI-powered products and platform services. Define roadmaps, manage AI business rules, prioritize backlog, partner with engineering and data science, ensure scalable APIs and platform architecture, and drive monitoring, experimentation, and cross-functional delivery to production.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, managing AI business rules and operational workflows, owning backlog and delivery, partnering with engineering and data science, and ensuring scalable, measurable AI platform capabilities and operational excellence.

Lead and deliver AI-powered products and operational services by defining roadmap, managing AI rules and metrics, partnering with engineering and data science, owning backlog and releases, and ensuring scalable, measurable, and reliable platform solutions across stakeholders.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, owning roadmap and delivery, managing AI rules and operational processes, partnering with engineering, data science, and operations, and ensuring scalable, measurable, and reliable AI platform capabilities.

Lead Technical Product Manager responsible for defining and executing AI-powered product roadmaps, managing AI rules and operational processes, owning backlog and delivery, collaborating with engineering and data science, and ensuring scalable, reliable, measurable platform capabilities.

Lead definition and delivery of AI-powered products and operational services: set roadmap, manage AI rules, prioritize backlog, lead agile delivery, partner with engineering and data science, ensure scalable, measurable, and reliable AI solutions, and drive continuous optimization through monitoring and experimentation.

Lead Technical Product Manager defining and delivering AI-powered products and operational services. Own roadmap, requirements, backlog, and delivery; partner with engineering, data science, risk, and operations to ensure scalable, reliable, measurable AI solutions and optimize outcomes through monitoring and experimentation.

Lead Technical Product Manager responsible for defining and delivering AI-powered products and operational services. Own roadmap, backlog, feature prioritization, and cross-functional delivery. Drive AI rules, platform capabilities, APIs, integrations, and operational monitoring. Align products with business goals, measure outcomes, and optimize through experimentation and feedback.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Provide strategic commercial and privacy legal counsel to go-to-market teams. Lead complex negotiations for MSAs, SaaS/PaaS, SOWs, reseller and public sector contracts; build scalable contracting frameworks and playbooks; embed privacy into deals (GDPR/UK GDPR/CPPA); mentor junior lawyers; advise on AI governance and cross-border regulatory issues; partner with Sales, Finance, Product, Security, and external stakeholders.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.