Top Machine Learning Jobs in Dublin

Lead architecture, technical strategy, and implementation of AI agents for the Team (FinTech) product area. Drive agent development patterns, collaborate with product and engineering leadership to deliver production systems, mentor senior engineers, and participate hands-on in building scalable, mission-critical distributed full-stack SaaS solutions.

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.

Use advanced analytics and machine learning on complex healthcare datasets to identify patterns, design and build models, run experiments, and translate insights into data-driven solutions that improve patient outcomes and operational efficiency.

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 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.

The Vice President of Capability Strategy for Payment Integrity will lead the development and execution of global Payment Integrity capabilities, focusing on standardization, automation, and integration with related functions to improve operational efficiency and financial impact.

Design, build, and maintain scalable big-data analytic solutions for clinical teams. Translate business requirements into technical specifications, apply predictive analytics and ML, create visualizations and dashboards, migrate legacy data, and recommend process improvements to support healthcare outcomes and operational efficiency.

Support EMEA tax compliance and provision preparation (US GAAP and local GAAP), coordinate tax filings and audits, assist transfer pricing and M&A tax work, automate tax processes, prepare tax disclosures and memos, and collaborate with cross-functional teams and external advisors.

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.

Investigate AML alerts and transaction monitoring cases, file SARs/STRs when appropriate, support law enforcement and partners, conduct screening and adverse media checks, improve detection models with policy and data teams, and train/mentor TM analysts.

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 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; 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 and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

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

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.

Partner with Local Payment Methods teams to analyze data, build ML and statistical models, run experiments, and produce insights to grow and optimize payments. Deliver data products, forecasting, causal analyses, and recommendations to influence product and business decisions.

As an AI Product Manager, you will define product roadmaps, collaborate with cross-functional teams, and optimize AI solutions to meet user and business needs.

As a Lead Technology Product Manager, you will develop AI-powered capabilities, collaborate closely with design and engineering teams, and enhance the product experience for clients in legal tech.

Lead Corporate Affairs AI strategy and portfolio, deliver enterprise-grade generative AI solutions, build and manage an AI team, own governance, adoption, value realization, and represent Corporate Affairs in enterprise AI governance and executive forums.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.