Top Tech Jobs & Startup Jobs in Dublin

Develop and deploy production machine learning solutions for forecasting, recommendations, propensity modeling, fraud detection, risk modeling, and customer analytics. Define modeling and experimentation strategies, apply foundation-model embeddings, create evaluation frameworks, and measure business impact. Partner with product, engineering, analytics, and business teams from problem definition through deployment. Communicate findings to technical and nontechnical stakeholders, establish reusable modeling standards, and mentor junior data scientists.

Develop and deploy production machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Define experimentation methods, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Partner with product, engineering, analytics, and business teams to deliver AI initiatives from concept through deployment. Establish reusable modeling practices, communicate technical insights, and mentor junior data scientists.

Leads complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational domains. Establishes program governance, delivery processes, operating rhythms, and scalable team models. Manages risks, escalations, dependencies, stakeholder alignment, and executive communications while driving predictable delivery and measurable outcomes in an ambiguous, fast-evolving environment.

Manage and scale highly available Linux production systems across public cloud environments. Build infrastructure automation, CI/CD workflows, Kubernetes platforms, monitoring, security controls, and custom engineering tools. Troubleshoot production, networking, availability, and performance issues; support deployments; maintain documentation; assist engineering teams; and participate in an on-call rotation.

Build, scale, and support highly available Linux production systems across public clouds. Develop infrastructure automation and deployment tools using Infrastructure as Code, CI/CD, Kubernetes, and programming languages such as Go and Python. Improve monitoring, security, availability, networking, and system performance; troubleshoot production issues, support engineering teams, maintain documentation, and participate in an on-call rotation.

Develop and deploy production machine learning solutions for forecasting, recommendations, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experiments, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Partner with product, engineering, analytics, and business teams to deliver AI initiatives. Establish reusable modeling practices, communicate technical insights, and mentor junior data scientists.

Develop and deploy production machine learning solutions for forecasting, recommendations, propensity modeling, fraud detection, risk modeling, and customer analytics. Define modeling and experimentation strategies, build evaluation frameworks, apply foundation-model embeddings, and measure business impact. Partner with product, engineering, business, and analytics teams to deliver AI initiatives, communicate technical findings, establish reusable modeling standards, and mentor junior data scientists.

Leads complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational domains. Establishes program governance, delivery processes, operating rhythms, and scalable team onboarding models. Manages risks, escalations, dependencies, stakeholder alignment, reporting, and executive communications while driving predictable delivery of strategic technical solutions in an ambiguous, fast-evolving environment.

Build, scale, and support highly available Linux production systems across public cloud environments. Develop infrastructure-as-code, automation, deployment tools, monitoring, and security controls. Manage Kubernetes, containers, networking, databases, load balancing, and service mesh technologies. Troubleshoot production and performance issues, support engineering teams, maintain documentation, and participate in on-call rotations. Create custom tools using Go, Python, Rust, or Bash while improving platform reliability, availability, and deployment processes.

Lead complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational domains. Establish program governance, delivery processes, operating rhythms, and scalable team onboarding models. Manage escalations, risks, dependencies, stakeholder alignment, reporting, and executive communications while driving predictable delivery of strategic technology initiatives in an ambiguous, fast-evolving environment.