Top Python Jobs in Dublin

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.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Design, build, and deploy agentic AI solutions in production for enterprise customers. Develop prompts, agent logic, integrations, and data pipelines (Salesforce Data 360, Snowflake, Databricks), ship quality code, create performance dashboards, collaborate with Deployment Strategists, and provide product feedback. Role requires customer-facing delivery and ~25% travel.

Enable engineering teams to deliver a secure, scalable SaaS platform on Azure by designing CI/CD pipelines, automating IaC and container deployments, improving reliability and observability, embedding security into pipelines, and reducing operational toil through automation and SRE practices.

Build, operate and evolve Azure foundations for a single-tenant SaaS platform. Enable product teams via IaC, CI/CD, self-service, observability, security-by-design, progressive delivery, automation, and documentation to improve reliability and delivery velocity.

Lead design and delivery of data architecture and analytics platforms. Translate business needs into technical solutions, design data models, ETL/integration, MDM and data quality processes, optimise data warehouses, collaborate with data science/BI teams, produce HLD/LLD, manage technical delivery and stakeholder relationships within agile projects.

Maximise revenue for Dublin Airport's B2C portfolio (Car Parks, Fast Track, Executive Lounges) through yield optimisation, pricing, inventory control and advanced analytics. Build analytics solutions, perform deep-dive analyses, develop price elasticity models, generate forecasts and business-friendly reports, and collaborate across teams to drive revenue growth, operational efficiency and improved customer experience.

The AI Inference Engineer optimizes large language models for various environments, focusing on performance, scalability, and reliability in AI inference serving.

The Software Development Manager will lead the Content Engineering team, focusing on designing data pipelines for AI products, coaching team members, participating in hiring, and collaboratively shaping technical solutions.

The AI Infrastructure Engineer will develop systems for model training and inference, optimize GPU performance, and mentor junior engineers, contributing to AI products at scale.

The Staff Machine Learning Scientist will define ML features, mentor engineers, research algorithms, and develop prototypes, focusing on customer value.

Design and build scalable test strategies and automation frameworks for UI, API, and backend systems. Collaborate with engineering and product teams, maintain CI/CD test pipelines, analyze results, and drive shift-left quality practices across development lifecycles.

Lead design and implementation of test strategies and automation frameworks (UI, API, end-to-end). Build and maintain reusable test utilities, integrate with CI/CD, analyze results, drive defect resolution, and promote shift-left quality practices across cross-functional teams.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

Design, build and operate cloud-native AWS serverless applications and multi-tenant EKS clusters. Develop Infrastructure as Code (Terraform/AWS CDK), implement CI/CD (GitHub Actions), build React/TypeScript frontends, and implement REST/GraphQL APIs. Support microservices/event-driven architectures, ensure platform reliability, observability, security (DevSecOps), and troubleshoot across the full technology stack.

Lead end-to-end customer engagements to define and deploy agentic AI strategies on the Salesforce platform. Architect solutions using Data Cloud and Agentforce, manage delivery timelines and stakeholders, drive adoption and measurable value, coordinate with Forward Deployed Engineers, and provide product feedback to inform platform roadmap.

Support discretionary management of US and international SMA equity portfolios: execute daily trades, monitor performance, manage tax-aware portfolio construction and transitions, optimize across account registrations, assess risk exposures, and collaborate with research, operations, technology, and oversight teams to improve model management and implementation.

As a Software Engineer, you'll develop backend services, write smart contracts, improve tools, mentor junior engineers and engage with the developer community.

Join the CloudEOS team to develop cutting-edge software for Cloud-enabled WAN connectivity, focusing on control plane and APIs/services in a high-caliber environment.

Lead research on how AI and datacenter growth reshapes power grids, utilities, and industrial infrastructure. Produce forecasts, reports, and briefings; track transmission, distribution, equipment supply chains, and capex cycles; collaborate with semiconductor and datacenter analysts; support institutional clients and present findings to leadership and at conferences.

Set and drive front-end technical strategy across multiple teams for a complex merchant platform. Architect scalable, performant, accessible front-end systems (component system, state management), shepherd Primer AI Companion integration, mentor engineers, ensure observability and cross-team coherence, and partner with Product, Design, and backend teams.

Operate on L2/L3 customer escalations and eliminate recurring reliability issues by driving root-cause analysis, building diagnostics and tooling, owning test automation and CI stability, improving installation/upgrade robustness, establishing performance baselines, and writing production-quality code to close the reliability feedback loop.

Build and scale Base360.ai: design APIs, services, and cloud-native infrastructure; implement event-driven automations, AI-powered workflows, and integrations (Airbnb, Stripe, Twilio, OpenAI). Own projects end-to-end to automate operations, improve pricing and guest experiences, and enable global scaling.