Top Machine Learning Jobs in Dublin

Lead development and deployment of scalable AI/ML solutions. Translate stakeholder needs into technical designs, oversee data preparation, model development, deployment, performance tuning, and mentor engineers and data scientists.

Lead AI Engineer to design, develop, and deploy scalable AI/ML solutions. Lead projects from concept to production, supervise data integration and model performance, mentor engineers, and present outcomes to stakeholders. Work includes advanced ML, deep learning, NLP, generative AI, and MLOps.

Lead development and delivery of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model deployment, mentor and review junior engineers, and manage performance and post-implementation reviews.

Lead design, development, and deployment of scalable AI/ML solutions. Translate stakeholder needs into models, oversee data preparation, mentor engineers, deliver production systems, and conduct performance reviews.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

Lead development and deployment of scalable AI/ML solutions; architect models and data pipelines; mentor engineers and data scientists; translate stakeholder needs to technical designs; ensure model performance, integration, and post-implementation reviews.

Manages the Coordination of Benefits and Ideation & Growth portfolios, leading opportunity prioritization, forecasting, executive reporting, KPI tracking, value realization, and productivity planning. Drives modernization through AI, machine learning, automation, improved data integration, and scalable operating models. Partners with Operations, Finance, Product, Technology, Analytics, Data Science, and leadership teams to develop business cases, deploy innovation, monitor savings and revenue, and improve operational efficiency and growth outcomes.

Develop and ship production machine learning and statistical algorithms for MongoDB’s core server, query engine, and Atlas platform. The role focuses on resource scaling, release safety, monitoring, automated incident response, and query performance. Responsibilities include prototyping, testing, deployment, model feedback loops, metrics and dashboards, code reviews, and collaboration with engineering teams to deliver measurable business impact.

Lead creation of an AI-first engineering capability for database products: design reusable frameworks, ensure secure production code, guide AI-enabled delivery, set governance and guardrails, influence senior stakeholders, and mentor engineers to scale cross-product adoption.

Leads enterprise product security across Google Cloud, AWS, AI applications, and software development. Designs security solutions, develops threat-modeling frameworks, conducts code reviews and vulnerability testing, integrates secure practices into the SDLC, and creates security policies. Triages threats, assesses risks, manages corrective actions, communicates findings to technical and executive stakeholders, and validates AI-assisted security recommendations for security, resiliency, data protection, and auditability.

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

The Director of Data Science will lead the AI Enablement team, developing strategy, managing stakeholder relations, and ensuring the delivery of data science solutions.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Lead a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Lead product ownership for Mastercard's next-generation disputes platform: define requirements, prioritize backlog, translate business needs into epics/stories, collaborate with engineering, data science, UX and regional stakeholders, drive AI-enabled automation, support global rollout and local market customization, and monitor product performance to increase adoption and operational efficiency.

Lead product strategy and execution for Mastercards next-generation disputes platform. Define vision, prioritize roadmaps, partner with executives and engineering, embed AI and automation, drive cross-functional alignment, and scale platform capabilities to improve dispute resolution, customer outcomes, and operational efficiency.

Serve as Product Owner for Mastercard's next-generation disputes platform: define requirements and roadmap, prioritize backlog, partner with engineering, data science, and regional stakeholders, enable global scale with local flexibility, drive AI automation, support releases and adoption, and monitor product performance to improve outcomes.

Lead strategic product domains for Mastercard's next-generation disputes platform. Define vision, roadmaps, and measurable outcomes; drive AI-enabled automation and predictive decisioning; partner with execs, engineering, data science, and customers to scale platform capabilities and influence portfolio investments.

Lead strategic product domains for Mastercard's next-generation disputes platform. Define vision, prioritize roadmaps, drive AI-enabled automation, partner with engineering/data/design, engage executives and customers, and scale platform capabilities to improve dispute resolution, operational efficiency, and customer outcomes.

Lead strategic ownership of Mastercard's next-generation disputes platform, define product vision and roadmaps, drive AI-enabled capabilities, prioritize cross-team backlogs, partner with execs/stakeholders, and scale platform adoption and operational automation.

Lead product ownership and roadmap execution for Mastercard's next-generation disputes platform. Define epics, features, user stories, and acceptance criteria; prioritize backlog; collaborate with engineering, architecture, data science, UX, and regional stakeholders; drive AI-powered automation and intelligent decision support; support global deployments while enabling localized market customization; run discovery workshops, support releases, and monitor product performance to increase adoption and operational efficiency.

Own requirements and roadmap execution for Mastercard's next-generation disputes platform. Act as Product Owner for an agile pod, translate regional and global needs into epics, user stories, and acceptance criteria, collaborate with engineering, data science, and stakeholders, drive AI-powered automation, support releases and regional deployments, and monitor product performance to improve adoption and operational outcomes.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define vision, prioritize roadmaps, drive AI-enabled automation and analytics, partner with engineering, design, and stakeholders, and scale platform capabilities globally to improve customer outcomes and operational efficiency.

Lead strategic product domains for Mastercard's next-generation disputes platform, define roadmaps, prioritize investments, and scale AI-enabled capabilities across engineering, data science, and design teams to improve dispute resolution, automation, and customer outcomes.