Top Python Jobs in Dublin

Configure and maintain IAM systems: integrate IdP with SaaS and internal systems, automate user lifecycle (joiner/mover/leaver), administer LDAP/Ory Hydra, troubleshoot directory sync/authentication, perform vulnerability updates, script automation tasks, and maintain technical documentation and SOPs.

Design, implement, and scale enterprise IAM solutions across multi-cloud and hybrid environments. Automate provisioning, access reviews, and CI/CD-driven Identity-as-Code workflows. Modernize AWS IAM and privileged access, mentor junior engineers, lead incident response, ensure compliance (SOC2/ISO27001/GDPR), and provide SRE oversight for European Sovereign Cloud IAM services.

Design, train, evaluate and integrate ML/NLP models into production software. Monitor model performance, develop analytical algorithms and data pipelines, and collaborate with cross-functional teams to iteratively improve models and systems while ensuring ethical, secure, and user-focused application of AI.

Lead the EMEA Cloud Platform organization, serve as senior reliability partner to customers, drive platform reliability/observability, define roadmap and automation, manage and develop distributed engineering teams, and represent the platform to executive customers.

Design, build and validate high-value AI proofs of concept and prototypes, focusing on practical business value, production-readiness and responsible AI. Collaborate with product, engineering, governance and stakeholders to run RAG, embeddings, prompt engineering and model evaluation, then recommend pilots or productionisation while ensuring security, observability, integration and operational feasibility.

Lead design and deployment of advanced signal-processing and machine-learning algorithms for power system monitoring and grid analytics. Architect Edge-to-Cloud solutions for embedded, resource-constrained systems, guide end-to-end development from modeling through production, influence product strategy, collaborate with cross-functional teams and external partners, and mentor engineers toward scalable grid intelligence products.

Design, develop and deploy data-driven machine learning solutions to optimise pricing and recommendation trading performance. Perform exploratory analysis, feature engineering, A/B test design and validation, collaborate with MLOps and engineering to productionise models, produce dashboards/visualisations, and communicate insights to technical and non-technical stakeholders.

The Senior PDK Development Engineer will develop, maintain, and support Process Design Kits, collaborating with teams and ensuring design compliance.

The Vice President, Data Scientist will develop AI/ML models, conduct advanced analytics, collaborate with SMEs, evaluate solutions, and lead R&D efforts within BNY's AI Hub Engineering team in Dublin, while also publishing works in academic settings.

As a MACH Applications Development Engineer, you will support semiconductor customers in lithography process optimization, develop software applications, conduct product testing, and collaborate closely with customer teams to enhance product capabilities.

The Senior Actuarial Analyst will lead reserve adequacy studies, manage quarterly closing tasks, calculate Solvency II provisions, and develop new reserving methodologies while coordinating with various teams.

The GTM Data Engineer will integrate, optimize, and manage the GTM systems, build data pipelines, ensure data quality, and collaborate on analytics to enhance GTM efficiency and decision-making.

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.

As a Senior Developer, you'll build and improve AI-powered features for Workday's internationalization platform, focusing on production reliability and business outcomes while mentoring team members.

Lead customer migration implementations for Veeva Vault R&D applications. Provide expertise in data migration, mentor specialists, and support customer validation processes.

Lead technical architecture and engineering quality for a greenfield AI-powered data intelligence platform. Design scalable backend services, data flows, Databricks-based pipelines, and agent-enabled features. Provide hands-on technical leadership, mentorship, code and architecture review, and collaborate with product stakeholders to deliver maintainable, testable solutions.

As a Senior Data Scientist, you'll lead data science projects, collaborate across teams, communicate findings, and drive innovation using machine learning and data analysis.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

The Senior Platform Engineer will enhance reliability, performance, and scalability of systems, improve operational excellence, and automate processes. Responsibilities include incident management, observability solutions, cost optimization, and cross-functional collaboration.

Lead integration of security across the SDLC: design and implement CI/CD and cloud security controls, integrate SAST/DAST and dependency scanning, automate compliance and vulnerability management, perform threat modeling and risk assessments, secure IaC and container workloads, evaluate security tooling, and mentor engineering teams on DevSecOps practices.

Migrate Microsoft Sentinel and related Azure resources to Infrastructure-as-Code (Terraform); build and maintain secure CI/CD pipelines in GitHub and Azure DevOps; apply software engineering practices, automate deployments, produce documentation and inventories, and communicate migration status to technical and non-technical stakeholders.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.