Top Python Jobs in Dublin

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Lead the architecture and production delivery of AI agents and intelligence systems for payments. Build reliable, low-latency LLM applications with tool use, orchestration, memory, RAG, multilingual conversations, evaluation, observability, and safety guardrails. Develop merchant intelligence and AI operations automation, mentor engineers, establish technical direction, and collaborate across Product, Data Science, and engineering teams in a compliance-sensitive global environment.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Develop and maintain business-critical Java applications, implement workflow changes, investigate system dependencies, improve performance and code quality, address technical debt, collaborate with product, QA, DevOps, and business teams, participate in reviews and design discussions, and support releases, troubleshooting, and post-deployment stability.

Analyze business needs and system requirements for treatment-planning automation applications. Define feature metrics, assess business impact, document requirements, collaborate with global cross-functional teams, and support development through the product lifecycle. Monitor released features using production data analysis, contribute to regulatory and system documentation, propose efficiency improvements, and manage multiple projects concurrently.

Develop, validate, deploy, and maintain machine learning features that automate orthodontic treatment planning. Responsibilities include decomposing business needs into ML problems, building deep learning models for 3D meshes, text, and tabular data, analyzing model performance, collaborating on production architecture and integration, researching scientific advances, and transferring technology across product teams.

Designs and executes manual and automated tests for cloud-based and desktop software products. Builds test automation, validates backend systems and data using SQL and NoSQL databases, and partners with developers, product teams, DevOps, and QA professionals. Maintains test documentation, identifies risks, supports software reliability, and contributes to continuous improvement of QA processes and tools.

Build and maintain production-grade agentic AI systems for an internal AI platform. Design AWS infrastructure, knowledge graph solutions using Neptune or Neo4j, and LLM-based reasoning and retrieval workflows. Troubleshoot integrated systems, collaborate across teams, influence technical direction, and support engineering best practices. The contract is expected to last 4–6 months, with possible extension, and requires strong Python, AWS platform engineering, and agentic AI expertise.

Design, implement, and operate large-scale identity and anti-fraud systems. Build detections and blocking mechanisms for signup and telecom attacks, develop ML models and distributed platforms, deliver end-to-end features, ensure reliability and test coverage, participate in on-call rotation, and collaborate across engineering, product, and partner teams.

Develop and maintain high-scale authentication and authorization components and SDKs, primarily in .NET. Collaborate with product, platform, leadership, and service teams to support secure integrations and operational excellence. Participate in code reviews and architecture discussions, use data-driven insights, improve authentication libraries, and apply AI-assisted development practices. The role emphasizes security, resilience, memory efficiency, performance, extensibility, and telemetry across distributed services.

Develop and maintain scalable Java applications using AWS, relational databases, SQL, Spring, Hibernate, RESTful APIs, and batch processing systems. Responsibilities include database performance optimization, cloud deployment, testing, code reviews, troubleshooting, cross-functional collaboration, and mentoring junior developers.

As a Staff Infrastructure Engineer, architect and operate large-scale private cloud platforms with OpenStack and Ceph. Design data center expansions, automate bare-metal provisioning with Ironic, and ensure compliance and security across infrastructure while mentoring engineering teams.

Work in an agile cross-functional team to build and maintain front-end and back-end document services using React, Java/Kotlin, Spring, Node.js and AWS. Responsibilities include coding, code reviews, test automation, deployment automation, AWS resource management, performance/load testing, and contributing to architecture and delivery.

Work in an agile cross-functional team to plan, create, and execute manual and automated tests for APIs and web applications. Build and run automated system and performance tests, contribute to CI/CD, define test metrics, and ensure product quality throughout sprints while identifying automation opportunities.

As a QA Engineer at Grouper, you'll mentor teams, implement QA frameworks, develop automated tests, and enhance software quality across Agile methodologies.

The Data Engineer will translate business objectives into actionable analytics, develop Big Data applications, automate quality checks, and collaborate on data privacy compliance.

As a Cloud Platform Engineer, you'll design, deploy, and manage cloud services, ensuring operational efficiency and security compliance while collaborating across teams.

As a Backend Software Engineer, you'll design, develop, and maintain web applications focused on data analytics, create APIs, and ensure compliance with GDPR.

As a Principal Network Architect, you'll lead network architecture design, evaluate new technologies, automate processes, ensure security compliance, and collaborate with teams and vendors.

As a Senior Site Reliability Engineer, you'll automate and enhance the reliability of Guidewire's cloud platform, support production systems, improve incident management, and develop tools for operational excellence.

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.

Work directly with customers to integrate Kota's SDKs and APIs, write production-quality code, build internal tools, debug cross-system issues, and influence product roadmap. Partner with Product, Engineering, and Customer Success to deliver scalable, production-ready solutions and successful deployments.

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 Forward Deployed Software Engineer, you will work with strategic customers to implement and enhance Fin's AI capabilities, collaborating across teams to deliver impactful software solutions while driving customer success.

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