Top Python Jobs in Dublin

The Principal Software Engineer will improve distributed systems, develop scalable services, and collaborate with teams on architecture and technology decisions.

The role involves architecting and deploying 3D object detection models, maintaining data pipelines, training models, and mentoring junior engineers.

Design and manage cloud infrastructure for a SaaS product using AWS and IaC tools. Collaborate on CI/CD processes and enhance cloud solutions.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

As a Senior Backend Engineer, you will design and develop core backend services for user management, integrating with Keycloak, and ensuring production stability.

As a Data Engineer at Yahoo, you'll implement AI/ML capabilities, build data pipelines, optimize workflows, and collaborate with teams to enhance user experiences.

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.

The Data Migration Specialist will lead ETL processes, ensure data integrity, analyze documentation, and facilitate data migration for fund accounting in alternative investments.

As a Platform Engineer at AeroVect, you will ensure reliability and scalability of software for autonomous vehicles, develop custom Linux distributions, optimize middleware, and support production deployment.

The Senior Solution Architect provides technical guidance and consultative support to customers, helping them implement solutions using Contentful’s platform and technologies, while collaborating with various teams.

The Senior Engineer I will lead projects, design and develop features, and ensure high availability of Menlo's security platform, focusing on backend development and cloud technologies.

The Software Developer in Test will create test strategies, debug issues, enhance test coverage, and automate testing processes in a CI/CD environment.

As Internal Security Engineer, you'll build security infrastructure, implement security measures, ensure compliance, and automate security operations while collaborating with engineering teams.

As a Security Research Engineer, you will analyze AI-generated vulnerability findings, conduct research on cloud security threats, and lead data labeling operations to enhance machine learning models.

Join Canonical's Talent Science team to assist in hiring processes using data analysis and behavioral science. Ideal for recent graduates with a psychology background, the role offers opportunities for analytical project work and stakeholder relationships.

This role involves developing Python software for High Performance Computing (HPC) environments, collaborating with global teams, and delivering HPC solutions.

Lead the Talent Science team ensuring data-driven processes for recruitment, coaching team members, and delivering strategic project outcomes.

The role involves designing scalable data architectures, improving system efficiency, modeling data, promoting best practices, and participating in on-call rotations to resolve reliability incidents.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.

The Staff/Lead Engineer role involves maintaining and enhancing video generation infrastructure, building monitoring tools, and ensuring scalable solutions while evaluating commercial impacts and guiding team direction.

Lead the design and implementation of AI-driven solutions, establish architectural direction, mentor engineers, and optimize AI systems. Drive technical alignment with product management.

The Systems Engineer will manage server infrastructure, database systems, and network performance while collaborating with developers to ensure optimal operation and resource management.

The AI Architect will design and implement multi-agent systems, optimizing for business logic execution and performance, while integrating advanced technologies for AI operations.

The AI Engineer will develop multi-agent workflows and production RAG systems, managing deployment and monitoring of AI solutions leveraging various tools and frameworks.