Top Python Jobs in Dublin

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Operate and improve production platform reliability: participate in on-call and incident response, manage Kubernetes and cloud infrastructure, enhance observability, automate toil, maintain runbooks, and collaborate with engineering teams to reduce incidents and improve operational readiness.

Embed with enterprise health customers to deploy and maintain Heidi: own end-to-end onboarding (EMR integrations, SSO/SCIM, data pipelines), build custom clinical workflows in code, debug production issues, automate deployments, train customers, and feed field insights to Product and Engineering.

Lead backend feature implementation for a healthcare AI SaaS: design and deliver scalable Python services, optimize data storage, manage cloud infrastructure and message queues, build and secure high-performance APIs, integrate third-party systems, and collaborate with frontend and AI teams to ship production-grade, tested systems.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Quantitative Researcher will apply economic and statistical models to analyze large-scale data and derive insights, working with data scientists and engineers.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Senior DevOps Engineer, you'll design, implement, and maintain cloud infrastructures, manage CI/CD pipelines, and ensure security best practices while collaborating with development teams to enhance deployment workflows.

As a Software Engineer - Scraping Specialist, you'll create systems for AI to access web data, develop automation frameworks, and collaborate on real-time data integration for AI agents.

The Senior Designer provides central engineering support for EDA tools and workflows in IC development, focusing on automation, software solutions, and troubleshooting.

The Automation Test Engineer will design and develop AI-driven automated testing frameworks, mentor junior engineers, and ensure software quality through test automation and machine learning techniques.

The Staff Machine Learning Scientist will lead ML projects, mentor engineers, define new features, conduct research, and collaborate with product teams to deliver impactful ML products.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.