Top Machine Learning Jobs in Dublin

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 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 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 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; 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 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 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.

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 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.

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 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.

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.

Lead and develop a high-performing analytics team to translate complex, multi-source healthcare data into actionable insights. Apply AI/ML, predictive analytics, automation, and modern reporting to drive client value, solve data challenges, and deliver scalable, executive-ready storytelling and measurable outcomes.

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.

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.

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.

Manage the integration of global flight supply partners, optimize product specifications, monitor metrics like price competitiveness and API latency, and collaborate with engineering teams to improve partner onboarding.