Top Python Jobs in Dublin

Manage and optimize the global contact center's operations, overseeing performance metrics, budgeting, process improvement, and cross-functional collaboration for strategic growth.

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.

As a Software Engineer in Engineering Productivity, you'll design, build, and operate systems for development teams, ensuring quality and performance throughout the software development lifecycle.

Operations Analysts manage trade clearance, settlement, and reconciliation, collaborating with various stakeholders to ensure timely and accurate trade processes.

The role involves owning technical solutions, designing AI tools in cloud environments, mentoring team members, and collaborating across teams to deliver AI/ML projects.

The Staff Engineer will lead the design and architecture of cloud-native systems in KKR's Risk & Performance Engineering team, focusing on data-driven solutions that align technology with business objectives. Responsibilities include mentoring engineers, driving innovation, ensuring system reliability, and influencing talent decisions to enhance engineering excellence.

The Researcher will conduct protocol research, model risk parameters, analyze financial data, create reports, and collaborate with teams in the DeFi space.

Conduct in-depth protocol research and risk analysis for DeFi projects, delivering insights and reports while collaborating across teams.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Web Developer will create and maintain high-quality web applications, collaborating with designers and other developers to enhance user experience while adhering to web standards and best practices.

Develop and optimize large language models for NLP tasks, conduct research, collaborate with teams, and communicate technical concepts. Requires a strong background in machine learning and active involvement in model deployment and performance evaluation.

The Solutions Engineer supports the sales team by leading technical pre-sales activities, demonstrating products, and building trusted relationships with customers through understanding their technical needs.

The role involves managing daily margin calls, monitoring client exposures, ensuring compliance and efficiency in collateral management, and performing trade reconciliation for both digital and fiat assets.

The Tech Lead oversees technical execution while mentoring engineers and aligning delivery with business objectives in trading systems.

Lead Full Stack Engineer responsible for developing cloud-native platforms and delivering solutions for investment strategy and portfolio management, while mentoring the team and ensuring engineering excellence.

The Senior Product Analyst will own product measurement, analytics, and tracking implementation to derive insights into user behavior and inform product decisions across B2B SaaS offerings.

Join the development team to build web-based trading tools, collaborating with traders and developers to implement real-time tools and user-friendly interfaces.

Design, develop, and maintain low-latency trading algorithms and tools, improve system performance, collaborate with traders, and handle various technical projects.

The Software Developer will create applications and solutions, focusing on data processing, visualization, and working closely with cross-functional teams to ensure high-quality data pipelines.

As a Graduate Engineer, you'll develop software for hardware systems, implement communication protocols, and manage configurations while using various programming languages and supporting tools.

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 DevOps, designing infrastructure and deployment pipelines, and collaborating on AI Agent features and cybersecurity solutions.

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.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.