Top Machine Learning Jobs in Dublin

Participate in a six-month internship developing data pipelines, models, applications, and scalable processing solutions. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with international teams to deliver data-driven insights and technologies.

Participate in a six-month internship applying data engineering, analytics, and technology to business problems. Build and maintain data pipelines, models, applications, and scalable processing solutions; analyze complex datasets; apply statistical, machine learning, and AI techniques; translate business requirements into technical solutions; and collaborate with international teams while communicating findings to technical and non-technical stakeholders.

Participate in a six-month internship developing data pipelines, data models, scalable processing solutions, and data-driven applications. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with cross-functional teams. The role includes mentorship, networking, performance assessments, and presenting project outcomes to leadership.

Participate in a six-month internship developing data pipelines, models, applications, and scalable data-processing solutions. Analyze complex datasets, apply statistical and machine-learning techniques, translate business needs into technical solutions, and communicate insights to stakeholders. Collaborate with international teams while exploring technologies that improve data and AI capabilities.

Participate in a six-month internship developing data pipelines, data models, scalable processing solutions, and data-driven applications. Analyze complex datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and communicate findings. Collaborate with international cross-functional teams while exploring technologies and methodologies that improve data and AI capabilities.

Participate in a six-month internship developing data pipelines, models, applications, and scalable data-processing solutions. Analyze complex datasets, apply statistical and machine-learning techniques, translate business needs into technical solutions, and collaborate with international teams. The role includes mentorship, networking, formal assessments, and presenting project outcomes to leadership.

Participate in a six-month internship developing data pipelines, models, applications, and scalable processing solutions. Analyze large datasets, apply analytical and machine learning techniques, translate business requirements into technical solutions, and communicate findings to diverse stakeholders. Collaborate with international teams while exploring technologies and methodologies that improve data and AI capabilities.

Participate in a six-month internship applying data engineering, analytics, and technology to business problems. Build and maintain data pipelines, data models, scalable processing solutions, applications, and analytical tools. Work with large datasets, explore machine learning and AI techniques, translate business requirements into technical solutions, collaborate with international teams, and communicate findings to technical and non-technical stakeholders.

Six-month data engineering internship involving data pipelines, data models, scalable data processing, analytics, and data-driven applications. The intern will work with large datasets, apply statistical and AI techniques, translate business requirements into technical solutions, and collaborate with international teams while developing professional skills through mentorship and project work.

Six-month data engineering internship involving data pipelines, data models, scalable data processing, analytics, and data-driven applications. Interns will work with large datasets, apply statistical and machine learning techniques, translate business requirements into technical solutions, and collaborate with international cross-functional teams. The role also includes presenting findings, exploring emerging technologies, and contributing to business problem-solving.

Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.

Own the strategy, roadmap, discovery, prioritization, and delivery of a portfolio of AI-powered products, analytics solutions, and machine learning capabilities. Partner with data scientists, engineers, and business teams to deliver measurable patient and business outcomes. Establish responsible AI governance, evaluation criteria, guardrails, metrics, and OKRs while influencing senior leaders across a regulated healthcare organization. Mentor product professionals and communicate portfolio strategy, risks, and results to executives and stakeholders.

Owns product strategy, roadmap, and feature definition for AI and data products. Partners with engineering, design, marketing, and leadership to prioritize initiatives, translate OKRs into delivery plans, define requirements, manage backlogs, and guide solution trade-offs. Uses customer research, operational data, and product analytics to drive product decisions, innovation, and measurable business value in a SaaS environment.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre demonstrations. Owns technical strategy, reusable frameworks, emerging technology integration, production delivery, operational support, and technical standards across AI, mixed reality, spatial computing, IoT, visualization, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders while translating customer and business needs into reliable, scalable experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, data visualization, and connected environments. Owns delivery from concept through production, establishes technical standards and operational models, and partners with engineering, product, creative, security, vendors, and executive stakeholders. The role also mentors teams and translates customer and business needs into reliable, scalable technology experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization, IoT environments, and production systems. Owns delivery from concept through deployment, establishes technical standards and support models, and leads cross-functional teams and external partners. Engages executives and customers to translate business needs into compelling, reliable technology experiences while mentoring teams and driving adoption of emerging technologies.

Lead the global architecture, prototyping, engineering, and deployment of immersive Mastercard Experience Centre technologies. Develop scalable demonstrations involving AI, mixed reality, spatial computing, IoT, visualization, and interactive installations. Establish technical standards, reusable frameworks, deployment playbooks, and operational support models. Partner with product, engineering, creative, security, vendors, and executive stakeholders while mentoring teams and translating customer needs into reliable, compelling technology experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization platforms, IoT environments, and executive showcases. Owns delivery from concept through production, establishes technical standards and support models, evaluates emerging technologies, and partners with product, engineering, creative, security, vendors, and senior stakeholders to create reliable customer-facing experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Develops interactive demonstrations involving AI, mixed reality, spatial computing, visualisation, IoT, holography, and digital installations. Establishes reusable technical frameworks, deployment standards, and operational support models while managing end-to-end technical delivery. Partners with product, engineering, creative, security, vendors, and executive stakeholders to create reliable customer-facing experiences and translate innovation concepts into scalable production environments.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, interactive installations, visualization, IoT, and executive demonstrations. Oversees technical strategy, delivery, integrations, operational support, and global rollout while partnering with product, engineering, creative, security, vendors, and senior stakeholders. Translates customer and business needs into scalable, reliable, and compelling technology experiences.

Leads the global architecture, prototyping, engineering, and deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, IoT environments, and visualization platforms. Owns delivery from concept through production, establishes technical standards and support models, and collaborates with product, engineering, creative, security, vendors, and executive stakeholders. Translates customer and business needs into reliable, scalable technology experiences while mentoring teams and driving emerging-technology adoption.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, visualization, IoT, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders to deliver reliable customer-facing demonstrations, establish technical standards, mentor teams, and translate innovation concepts into scalable experiences.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Leads EMEA and LATAM international tax accounting, quarterly US GAAP tax provisions, Pillar 2 calculations, tax compliance, audits, statutory reporting, and tax planning. Partners with legal, accounting, FP&A, and external advisors while driving AI automation, tax technology, process improvements, SOX controls, legislation research, and business-critical international tax projects.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, and partners with product, engineering, analytics, and business teams. Mentors data scientists and AI engineers, presents technical recommendations to leadership, supports hiring, and shapes the organization’s long-term technical direction.