Top Python Jobs in Dublin

The Senior Software Engineer will design and develop high-quality web and mobile applications, ensuring code quality while collaborating with product teams and mentoring junior engineers.

Lead end-to-end ML work: define product problems as ML tasks, prototype and ship models (ranking, retrieval, LLM agents), build evaluation and monitoring, and measure marketplace impact (bookings, retention, GMV). Collaborate with engineering, product, and growth to deploy production models and improve LLM reliability.

Lead product definition and delivery for AI research tools by engaging data scientists and researchers, translating workflows into detailed specifications, owning the roadmap, collaborating with UX and engineering, and aligning stakeholders to prioritize and deliver MLOps-focused features.

Lead connectivity lifecycle for data center and PoP sites: assess site feasibility, design fiber pathways and POE/MMR layouts, manage carrier relationships and commercial negotiations (IRUs, leases), maintain geospatial/fiber documentation (KMZ/KML), and coordinate cross-functional delivery with procurement, construction and engineering teams across the region.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

Advise and handle enterprise customer support requests for PlanetScale platform, act as customer-facing SME, identify and escalate product gaps, collaborate with TAM/Engineering/Sales Engineering, and participate in on-call rotation for high-priority incidents.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

Design, improve, and deploy large-scale ML models for real-time ad-tech applications; explore data sources, research solutions, run A/B tests, and collaborate with engineering to productionize models and monitoring.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Define and scale the AI platform infrastructure at Connectly to optimize conversational AI agents. Collaborate with technical teams for platform services, integration, and analytics.

Support merchants integrating and operating Solidgate's payments platform: analyze client requests, troubleshoot technical issues, collaborate with product and engineering, communicate with clients, and maintain product documentation. Use SQL regularly; Postman and Python experience is a plus.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.

Lead user research by collecting and synthesizing qualitative and quantitative data, run A/B and usability studies, build lightweight prototypes and dashboards, promote research-driven decision making, scale research ops, and train teams to integrate user science across product and engineering.

Lead three engineering teams owning business systems, data lake, and integrations. Oversee development, operations, hiring, manager development, engineering practices, roadmaps, and stakeholder collaboration to deliver business data and analytics solutions.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Join Canonical's Talent Science team to assist in hiring processes using data analysis and behavioral science. Ideal for recent graduates with a psychology background, the role offers opportunities for analytical project work and stakeholder relationships.

Join the Kubernetes product team to design and implement Kubernetes operators and addons, write high-quality Golang and Python code, debug issues, collaborate with a distributed team, mentor colleagues, and contribute to open-source integration and lifecycle management. Travel 2–4 weeks yearly for team events.

Lead the Talent Science team ensuring data-driven processes for recruitment, coaching team members, and delivering strategic project outcomes.

Lead three engineering teams (Billing, Contracts, Livepatch) delivering and operating full-stack Golang services. Develop engineering managers, set roadmaps, uphold engineering practices, hire talent, collaborate with stakeholders, and ensure product and team health.

Responsible for ensuring reliability, availability, and performance of cloud production systems, leading incident response, automating workflows, and improving system observability and scalability.

Design, implement, and maintain a low-latency real-time risk engine for perpetuals, spots, and prediction markets. Build VaR/ES and Greeks aggregation, margin and liquidation models, position limits, tail-risk models, dashboards/alerts, backtests, and circuit breakers to protect against extreme market conditions. Collaborate with trading infrastructure to meet <50ms P99 latency.