Top Machine Learning Jobs in Dublin

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.

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 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 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 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.

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 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.

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

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 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 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 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 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 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 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 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 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 architecture and deliver cloud-native workplace solutions, engage stakeholders, define target-state architectures, integrate enterprise AI safely, produce and review secure production code, drive resiliency and automation, and evaluate vendor technologies.

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 complex data science projects to improve healthcare outcomes by building data solutions, collaborating with teams, and mentoring staff.

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.

Lead the design of Analytics and Reporting platforms, modernizing systems, embedding AI capabilities, and ensuring data governance. Collaborate across teams and mentor engineers in AI-first practices.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Conduct original research applying machine learning, deep learning, and NLP to extract patterns from large and unstructured datasets; implement and back-test algorithms in high-quality code; document findings and collaborate with trading teams to deploy research-driven models.

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.