Top Python Jobs in Dublin

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead a team of cloud and AI engineers in developing scalable AI and cloud solutions while ensuring high-quality standards and best practices. Manage end-to-end delivery and collaborate with cross-functional teams on technical solutions.

The Senior Manager Data Strategy leads data analysis, sourcing, and quality assurance for investment needs, managing projects and coordinating with technology and partners.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

The Senior Risk Analyst will support risk production, model OTC derivatives, review risk outputs, implement regulations, and prepare risk reports for executives.

As a Technical Account Manager, you will enhance user experiences, build strong customer relationships, manage integrations, and provide solutions for complex challenges.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

Lead the development and implementation of data science solutions for clinical trials, ensuring data integrity and mentoring team members.

The Senior Platform Support Engineer provides technical support for developers using various platforms and CI/CD systems. Responsibilities include troubleshooting, improving documentation, mentoring junior engineers, and automating processes to enhance developer experience.

As a Software Engineer in the CloudEOS team, you will develop software for Cloud-enabled WAN connectivity, involving multithreading, DPDK, and cloud infrastructure.

The Senior Manager, AI Operations oversees production AI/ML application support, implements efficient workflows, and ensures operational excellence in cloud environments.

The Portfolio Engineer will focus on managing client portfolios, conducting quantitative analysis, and innovating investment strategies within Fidelity's portfolio management framework.

Conduct R&D on systems technologies, design prototypes, analyze data, troubleshoot challenges, and collaborate with multidisciplinary teams to enhance sorting platforms.

The Senior Software Engineer will design and scale infrastructure for AI, build pipelines, optimize performance, and mentor engineers on ML systems.

The Senior Portfolio Analyst/Engineer will monitor fund performance, analyze risks, support investment evaluations, manage relationships, and improve fund management processes.

The Solution Engineer will lead integration engineering, act as a technical expert for merchants, deliver solutions, and collaborate with teams to optimize payment performance.

As a SaaS Operations Engineer, you will oversee SaaS applications, ensure integration with corporate tech, lead optimization projects, and drive user adoption while mentoring others.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

Lead and manage a high-performing security engineering team, overseeing the delivery of security controls, promoting automation, and collaborating with cross-functional partners.

The Senior Statistical Analyst will design statistical methodologies for clinical trials, conduct statistical analyses, and provide expertise for study design and data interpretation.

The Cloud Architect will design and implement cloud solutions, oversee cloud migration initiatives, develop governance frameworks, and ensure security compliance. They will mentor engineering teams and maintain documentation while collaborating across various technical domains.

The Principal Engineer will oversee the development of KKR's client onboarding platform, ensuring excellent technical solutions, team leadership, continuous improvement, and effective vendor management for resilient integrations.

As an Onboarding Specialist, you'll guide users through Stripe's integration process, manage implementations, deliver technical workshops, and enhance user experience through problem-solving and proactive support.

Develop and maintain systems for AI trustworthiness and MLOps within the OpenShift AI team, focusing on scalable architecture and community engagement.