Top Python Jobs in Dublin

The Security Automation Engineer designs and implements automation frameworks for security operations, focusing on compliance and scalable security controls for Managed Services platforms.

Conduct original research applying machine learning, deep learning, and NLP to extract patterns from large and unstructured datasets; implement and back-test algorithms in high-quality code; document findings and collaborate with trading teams to deploy research-driven models.

As a Quantitative Researcher, you will develop trading strategies, implement mathematical models, analyze data, and contribute to high-level research in a trading environment.

The role involves researching cybersecurity threats, vulnerability analysis, developing automated tools, and collaborating with teams to provide technical expertise and publish findings.

Lead development and deployment of advanced AI/ML solutions. Architect scalable ML systems, mentor engineers, translate stakeholder needs into technical designs, oversee data preparation, model deployment, performance tuning, and deliver measurable business impact.

Lead development and deployment of scalable AI/ML solutions. Translate stakeholder needs into technical designs, oversee data preparation, model development, deployment, performance tuning, and mentor engineers and data scientists.

Lead development and delivery of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model deployment, mentor and review junior engineers, and manage performance and post-implementation reviews.

Lead design, development, and deployment of scalable AI/ML solutions. Translate stakeholder needs into models, oversee data preparation, mentor engineers, deliver production systems, and conduct performance reviews.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model performance, mentor engineers, and deliver production AI systems and visualizations on time and on budget.

Lead and deliver end-to-end AI/ML solutions: design, build, deploy, and tune models; integrate and prepare data; translate stakeholder needs to technical solutions; mentor and review junior engineers; manage project timelines, budgets, and post-implementation reviews.

Lead development and deployment of scalable AI/ML solutions; architect models and data pipelines; mentor engineers and data scientists; translate stakeholder needs to technical designs; ensure model performance, integration, and post-implementation reviews.

Lead AI Engineer to design, develop, and deploy scalable AI/ML solutions. Lead projects from concept to production, supervise data integration and model performance, mentor engineers, and present outcomes to stakeholders. Work includes advanced ML, deep learning, NLP, generative AI, and MLOps.

Lead AI initiatives: architect and deploy scalable ML systems, translate stakeholder needs into AI solutions, oversee data integration and model performance, deliver AI-driven insights, and mentor engineers and data scientists.

The Lead AI Engineer will develop advanced AI solutions, mentor a team, and oversee machine learning initiatives, ensuring data readiness and translating stakeholder needs into AI-driven solutions.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

Lead end-to-end incident response for high-severity security events across cloud environments, perform DFIR investigations, build detection and automation (including AI-assisted) workflows, partner cross-functionally, produce executive communications and RCAs, maintain runbooks/playbooks, and mentor other engineers within a 24/7 global on-call model.

Design, build, and maintain ETL/ELT data pipelines and processing jobs (PySpark/SQL) on cloud platforms (Azure, Databricks, Snowflake). Ensure data quality, governance, monitoring, and automation; partner with analytics and infrastructure teams to productionalize analytic pipelines and support platform architecture.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Lead an AI engineering team to develop, fine-tune, and deploy transformer-based and generative models for high-impact use cases. Translate models into scalable production solutions, partner with product and data teams, embed responsible AI practices, and ensure robust evaluation, performance optimization, and delivery oversight.

The Automation Engineer II develops automation workflows and AI integrations to improve SOC efficiency, collaborates with teams, and supports security operations.

Build and maintain scenario models evaluating manufacturer discounts and formulary strategies for Medicare. Extract, transform, and feature-engineer data; develop tracking reports and self-serve analytics; validate models; document reproducible methods; collaborate with stakeholders and cross-functional teams to align assumptions and translate business needs into analytical solutions.

Pre-sales Solutions Architect advising customers on designing scalable, highly available systems using MongoDB. Work with sales to drive deals via technical discovery, demos, proofs of value, architecture guidance, and account planning. Mentor teammates, generate demand, participate in events, and communicate business value to stakeholders.

The Principal Data Scientist will design and implement advanced data science solutions, lead cross-functional projects, and communicate insights to stakeholders within Payment Integrity operations.

Lead pricing strategy and analysis for healthcare networks, utilizing data to optimize pricing models and engage stakeholders. Implement automation and enhance workflow efficiencies.

The Senior Product Manager for Python Developer Experience will define strategy for MongoDB's Python tools and integrations, collaborate with teams, and enhance the developer experience.