Top Machine Learning Jobs in Dublin

As a Senior Software Engineer, you will design and implement AI-powered solutions, ensuring efficient management of cloud infrastructure and mentoring colleagues.

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Develop and maintain risk detection systems at PayPal, working with cross-functional teams to improve payment security and automate risk mitigation efforts.

Lead development of a SaaS treasury management platform, leveraging AWS, Ruby on Rails, and React. Mentor team, implement CI/CD, and ensure application robustness and quality.

The role involves design, debugging, and development of embedded systems code, collaborating with stakeholders, and ensuring adherence to delivery schedules.

Senior Software Engineers at Mastercard design and code AI and cloud platforms, develop scalable software solutions, and mentor junior team members while collaborating with stakeholders.

The role involves designing AI cloud platforms, leading technical discussions, ensuring compliance, and collaborating with cross-functional teams to enhance customer solutions.

Senior Backend Engineers build core data flows, APIs, and data processing pipelines, ensuring performance, security, and quality in products.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Seeking a Senior Software Engineer to manage and optimize ML platform components, enhance scalability, and collaborate with teams on production ML models.

Design and implement large-scale LLM systems for educational purposes, focusing on platform engineering, infrastructure, and advanced MLOps in a research-oriented environment.