Top Python Jobs in Dublin

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.

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 Hardware Solutions Engineer designs and supports customized server and infrastructure solutions for AI and HPC environments, ensuring performance and reliability.

The Senior Penetration Tester performs advanced security assessments, identifies vulnerabilities, mentors other testers, and communicates findings to clients. Responsibilities include manual testing, reporting, and collaboration with various teams.

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.

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.

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.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Drive product and business analyses across Quora: design and evaluate experiments, build models and visualizations, analyze cross-product data to surface root causes, and partner with cross-functional teams to implement data-informed solutions and frameworks.

Design, train, fine-tune, distill, and deploy LLM-based and agentic ML models. Build and operate agent workflows in Python, run evaluation and benchmarking, select models and cost strategies, and manage production monitoring and observability for model performance and reliability.

Lead full‑stack product development for WeTravel's Supply platform: design and implement quoting, supplier/catalog, partner onboarding and payouts. Work end-to-end with product, write TypeScript/React frontend and backend services, operate production systems (monitoring/on‑call), mentor engineers, and help take features from early access to broad adoption.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Design, build, and maintain no-code/low-code and custom-code automations for influencer programs: discovery, onboarding, contracts, content tracking, reporting, and payments. Own integrations, webhooks, error handling, secrets management, and data validation (SQL) while partnering with marketing, finance, legal, and BI.

Investigate and reproduce customer-reported issues, create actionable bug reports, design and run manual and automated test plans, validate fixes, improve automated coverage, and track quality metrics for Kestra OSS and Enterprise editions.

Own, design, build, and operate distributed, high-load backend services and data pipelines for ML infrastructure. Partner with ML and product teams to deliver self-service, reliable model serving, storage, and deployment components; ensure observability, scalability, and performance while driving technical decisions and continuous improvement.

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.

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.

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.

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.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

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.

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.