Top Machine Learning Jobs in Dublin

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.

12-week PhD internship applying machine learning, NLP, and generative AI to clinical and operational healthcare data. Collaborate on experiments, develop and evaluate LLM and agentic workflow solutions, prototype practical AI tools, and communicate findings to research teams.

Lead architecture, technical strategy, and implementation of AI agents for the Team (FinTech) area. Drive agent product delivery from design to production, collaborate with engineering and product leaders, mentor technical leaders, and be hands-on in development while spreading agentic development practices across the company.

Support clinical teams by designing, coding, testing, and maintaining analytics and Big Data solutions. Translate stakeholder requirements into analytical solutions, perform statistical and predictive analyses, create visualizations and dashboards, identify automation opportunities, and support data governance and documentation.

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.

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.

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.

Lead and develop an actuarial and regulatory team focused on pricing and underwriting assumption setting, trend forecasting, governance, model modernization, and regulatory impact analysis. Partner with Product, Technology, Finance, Underwriting, and Industry Relations to influence strategy, chair forecasting governance, communicate performance, and drive model innovation and cross-functional alignment.

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.

The Director of Impact Engineering leads a global team, overseeing product development around AI-enhanced customer success tools while ensuring quality, technical direction, and cross-functional collaboration.

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 Network Pricing team, optimizing drug pricing and pharmacy contracts through analytics, relationship management, and governance processes while addressing growth and regulatory changes.

Lead advanced analytics and machine learning projects on healthcare network data: analyze complex datasets, design and evaluate models and experiments, collaborate cross-functionally, and translate results into business-impacting solutions to improve patient outcomes and operational efficiency.

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 technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

The Product Manager for AI/ML Solutions will manage product lifecycle, work in Agile teams, and improve business processes using AI/ML technologies.

The Product Manager will drive AI solution strategies, prioritize initiatives, and oversee the delivery of AI/ML products while ensuring stakeholder alignment and adoption in a hybrid work environment.

The Investor Services Director oversees Investor Services and Transfer Agency processes, ensuring client satisfaction, compliance, and operational efficiency while leading a team to enhance service delivery.

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.

The Fund Accounting Supervisor oversees NAV calculations, reconciliations, and guides a team of Fund Accountants while ensuring timely delivery and compliance.

The FX Market Surveillance Product Director is responsible for the design and improvement of FX trade surveillance systems, ensuring compliance with regulations and market standards, collaborating with various teams to implement monitoring solutions, and defining key performance indicators for effectiveness.

Lead design, delivery, and continuous improvement of global S&OP capabilities across people, process, technology, and data. Drive cross-functional alignment, digital transformation using advanced planning tools, and change management. Own capability roadmaps, governance, KPIs, training, and stakeholder relationships to raise S&OP maturity and ensure regulatory compliance in a matrixed pharmaceutical environment.

Lead phenomics strategy and execution to integrate human genetics and real‑world data for target identification, patient stratification, and translational evidence. Build and lead multidisciplinary teams, develop scalable phenotype curation and modeling pipelines, ensure scientific rigor and reproducibility, influence data and tooling roadmaps, drive cross‑functional decision support, champion responsible data/AI use, publish and engage externally, and hire and develop global talent.

The AI Strategy Lead will advise on AI opportunities, promote adoption across the organization, and shape scalable AI solutions while engaging business and technical teams.