Top Python Jobs in Dublin

As a Senior Backend Engineer, you'll develop features using Python and various AWS services, focusing on AI-driven solutions for the insurance sector.

As a Data Scientist - Sanctions Risk, you'll enhance PayPal's sanctions screening capabilities using data science and machine learning to optimize performance and compliance.

This role involves enhancing systems and workflows for sales efficiency, managing lead routing, analyzing performance data, and collaborating cross-functionally to drive operational excellence and data integrity.

The Revenue Performance Operations Analyst will design automated revenue forecasting models, enhance data quality, and create scalable planning frameworks. They will use SQL and Python to analyze performance and build reporting systems collaboratively with various departments.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

The role involves enhancing systems and integrations to improve sales productivity, analyzing process performance, and collaborating with various teams to implement efficient solutions.

The Senior Portfolio Intelligence Analyst manages portfolio performance and risk, develops reporting tools, provides insights for credit decisions, and collaborates across teams to align objectives with risk appetite.

The GTM Engineer will enhance GTM tech stack systems, optimize inbound routing, analyze data for performance, collaborate across teams, and support process improvements.

Responsible for designing and implementing secure enterprise-grade APIs, integrating cloud platforms with on-premise banking systems, focusing on performance and compliance, while ensuring security and operational excellence.

The Senior Integration Engineer designs and implements APIs for enterprise integration, ensuring secure and reliable data exchange across banking systems, while collaborating with various teams and adhering to compliance standards.

As a QA Engineer at Grouper, you'll mentor teams, implement QA frameworks, develop automated tests, and enhance software quality across Agile methodologies.

The Data Engineer will translate business objectives into actionable analytics, develop Big Data applications, automate quality checks, and collaborate on data privacy compliance.

As a Cloud Platform Engineer, you'll design, deploy, and manage cloud services, ensuring operational efficiency and security compliance while collaborating across teams.

As a Backend Software Engineer, you'll design, develop, and maintain web applications focused on data analytics, create APIs, and ensure compliance with GDPR.

As a Principal Network Architect, you'll lead network architecture design, evaluate new technologies, automate processes, ensure security compliance, and collaborate with teams and vendors.

The Senior Data Scientist will analyze complex data to identify trends, build ML models, and support business solutions while collaborating with various teams.

Lead design and development of a greenfield, cloud-native banking platform: architect scalable secure systems, write code, mentor engineers, own CI/CD/SRE practices, collaborate with business stakeholders, ensure compliance, and drive test automation and observability.

Act as a technical, consultative partner for Stripe's largest customers: build trusted relationships, lead integration and troubleshooting, advise on fraud/disputes and global expansion, coordinate cross-functional solutions, run user-facing meetings, and produce long-term user-facing content and processes.

Join Intercom's AI Group as a Staff Product Engineer to build AI-powered products, collaborating with ML Scientists and product teams, and driving software development from ideation to implementation.

Seeking a Senior Staff Software Engineer to lead the development of core streaming analytics components on Cloudera's platform, influencing technical direction and mentoring teams while solving complex distributed system problems.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Fullstack Engineer will focus on DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.