Top Python Jobs in Dublin

Lead design and build of enterprise-scale cybersecurity data lakehouse ingestion, enrichment, and semantic layers. Scale pipelines from Splunk to cloud-native lakehouse, implement data observability and reliability, enable AI/advanced analytics, and mentor engineers to raise engineering maturity and modernize practices.

Own and scale the corporate IT stack for a fully remote global company: manage MDM for macOS/Windows, administer identity (Okta/SSO/MFA/SCIM), govern SaaS and OAuth, build security and compliance controls (SOC 2/PCI/ISO), automate onboarding/offboarding and workflows with scripting, act as senior escalation for complex issues, and maintain runbooks and documentation.

Perform software safety lifecycle tasks: hazard analyses (HARA, FMEA, FTA, STPA), derive and trace software safety requirements, review C++/Python/ROS code, define fail-safes, collaborate across teams, and support safety cases for airport deployment per ISO 26262 and SOTIF.

Lead architecture and build scalable, high-throughput payment systems; mentor engineers; drive technical vision, cross-team delivery, and quality through testing, observability, and CI/CD. Define AI-native engineering practices and optimize performance for global fintech workloads.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

The Technical Recruiter will manage end-to-end hiring processes for engineering roles, build talent pipelines, and partner closely with hiring managers to identify hiring needs while ensuring a positive candidate experience.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Design and build end-to-end ML systems for fraud detection: develop and deploy models, create production-ready features and real-time data pipelines, integrate with backend services, and ensure monitoring, security, and observability.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Join our engineering-led team, shipping innovative features and enhancing developer experience across our stack, including frontend and backend. Collaborate on architecture and continuously improve services.

Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.

Build and productize AI-native systems for a fintech neobank: AI agents, RAG/LLM-powered workflows, tool integrations, and automations for onboarding, KYC, support, risk, CRM and operations. Focus on production reliability, evaluation, guardrails, latency, cost, security and compliance while collaborating with product and engineering teams.

Canonical seeks open-source enthusiasts to optimize Ubuntu for new silicon technologies, collaborating with teams and customers to enhance software quality and performance across various platforms.

Design and develop services for automating work with a large server fleet while engaging in DevOps processes.

Design and develop services for monitoring servers, improve metrics pipelines, automate maintenance workflows, and investigate incidents to ensure infrastructure reliability.

Responsible for tuning GPU cluster performance, troubleshooting InfiniBand networks, integrating hardware, enhancing automation, and managing GPU devices in HPC.

The Senior Site Reliability Engineer will ensure fault-tolerance and uninterrupted operations, using innovative cloud technologies, alongside improving CI/CD processes.

Develop, improve, and deploy machine learning models for large-scale ad-tech systems; explore and integrate new data sources; research ML solutions; collaborate with engineering to productionize algorithms; and design and evaluate A/B tests and monitoring dashboards.

Provide in-person Tier 1 technical support for employees and vendors: troubleshoot hardware and software (macOS, Chrome OS, iOS), run diagnostics, manage onboarding/offboarding, maintain SaaS tools and IT asset records, update documentation, support office technology, and participate in on-call rotations.

Design, implement, and operate global cloud voice networking: SIP/RTP flows, carrier interconnects, SBCs, VPNs, and multi-region AWS/Azure architectures. Optimize voice quality, run customer onboarding and connectivity workshops, automate provisioning with IaC, participate in incident response and HA/DR planning, and support capacity, scalability, and global expansion.

Design, implement, test, and review software across the stack to build and optimize AI infrastructure. Collaborate with engineers, support customers through scoping, proofs-of-concept, trials, and production escalation, and help shape company culture and processes in a fast-paced startup.

As an Infrastructure Engineer at Telnyx, you'll deploy and maintain infrastructure automation, improve internal architecture, and become an expert in cloud technologies and container management.