Top Python Jobs in Dublin

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

Build and maintain infrastructure automation, Infrastructure-as-Code, monitoring, CMDB, and network-management systems for servers, cloud environments, Cisco networks, and physical security devices. Develop remediation, patching, compliance, provisioning, logging, and ticketing workflows; create monitoring exporters and dashboards; perform advanced troubleshooting and root-cause analysis; and lead postmortems. Participate in a 24x5 on-call rotation supporting mission-critical infrastructure.

Design and implement automated workflows, ETL pipelines, and integrations to centralize partner data. Build reconciliation, alerting, runbook automation, dashboards, and self-service tools to improve data quality and operational response.

Design and implement automation for partner onboarding, data pipelines, ETL, reconciliation, and operational runbooks. Build API integrations, alerting, dashboards, and self-service tools to maintain partner data quality and streamline incident response.

Design and implement automation and ETL workflows to manage partner onboarding, data reconciliation, and operational runbooks. Build integrations, dashboards, alerts, and self-service tools to maintain data quality and streamline network incident response.

Design and implement automated workflows, ETL pipelines, and integrations to centralize partner/network data. Build self-service tools, alerting, runbook automation, reconciliation scripts, dashboards, and scheduled reports to improve data quality, incident response, and operational efficiency.

Design and implement automation and ETL pipelines to centralize partner data, build self-service and alerting workflows, automate operational runbooks and incident contact retrieval, and create monitoring dashboards and reconciliation scripts to ensure data quality and consistency.

Lead marketing analytics and measurement: design experiments and incrementality tests, evolve MMM, build LTV/churn models, govern marketing data (dbt/SQL), partner cross-functionally to translate insights into executive recommendations and influence data stack and AI adoption.

Senior Network Engineer providing highest-level escalation for global network operations. Lead troubleshooting, RCA, and major incident recovery; design and implement enterprise network projects; administer Cisco, Fortinet, F5, SD-WAN, and cloud networking; automate tasks, perform packet analysis, monitor performance, and ensure network security and compliance while mentoring junior engineers.

The Senior DevSecOps Engineer will lead security initiatives across customer data, applications, and infrastructure, architecting security solutions and mentoring junior staff while implementing best practices for security in product development.

The Senior Platform Support Engineer provides technical support for developers using various platforms and CI/CD systems. Responsibilities include troubleshooting, improving documentation, mentoring junior engineers, and automating processes to enhance developer experience.

Lead triage and resolution of complex site issues, own bug lifecycle in Jira, drive automation and AI initiatives, build data-driven dashboards, coach teams, and partner with Engineering and GCX to improve site reliability and reduce backlog.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

Partner with ecosystem stakeholders to identify growth opportunities, diagnose user and partner pain points, and translate them into product requirements and prototypes. Maintain deep knowledge of BNB Chain (BSC, opBNB, BNB Greenfield), research emerging technologies (e.g., AI tooling), and drive cross-functional alignment to move opportunities from discovery to prototype while tracking outcomes.

Research and investigate global fraud trends using BioCatch data and external sources. Produce data-driven insights, visualizations, written thought leadership, dashboards, and presentations. Build repositories and automate analysis workflows while applying fraud expertise and AI tools to validate findings and support sales and marketing.

Build end-to-end web features, automate operational workflows, create internal tools and integrations (Airbnb, Stripe, Twilio, OpenAI), deploy AI-powered capabilities, and scale a reliable platform while working closely with founders and operations.

Hands-on lead responsible for designing, building, and scaling Base360.ai. Architect scalable systems, drive engineering standards, mentor engineers, implement AI/LLM workflows, build integrations (Airbnb, Stripe, Twilio), and automate operations to improve guest experience and operational efficiency.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Design and deliver quantum optimization solutions by mapping customer problems to D-Wave hybrid solvers, building and testing prototypes, developing production applications, and collaborating with customers and internal teams to ensure successful project delivery and product feedback.

Design, build, and maintain the foundational, high-scale search engine systems powering billions of daily requests. Work on backend infrastructure, deployment automation, capacity planning, observability, performance-critical code, and production operations while collaborating with a team to ensure reliability and scalability.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Lead and grow a Platform/DevOps team to ensure a highly available, performant, secure clinical SaaS platform. Own SRE practices (SLIs/SLOs, error budgets), CI/CD and release automation, incident leadership, observability, capacity planning, vendor governance, and platform strategy. Drive automation, reliability engineering, and AI-enabled pipeline optimization while participating in on-call rotation and cross-team collaboration.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design, deploy, and maintain production-grade distributed ML systems for revenue management. Build data pipelines, implement and validate models, establish MLOps practices (CI/CD, orchestration, monitoring), define SLIs/SLOs, and collaborate with product and engineering to drive model reliability and business impact.