Top Python Jobs in Dublin

Develop RTL for digital blocks, perform lint/CDC analysis and DFT support, assist in writing functional tests and simple UVM components, collaborate on verification and coverage closure, support AMS co-simulation and mixed-signal integration, and work with physical design on synthesis and timing.

Design, build, deploy, and operate scalable analytics and streaming data platforms. Implement fault-tolerant services for ingestion, storage, processing, and querying; automate large AWS deployments; troubleshoot production incidents; mentor engineers and collaborate with product and data teams to turn ideas into reliable production systems.

Serve as strategic Customer Success Manager for enterprise clients, driving ROI from fraud detection and AML platform use. Monitor detection performance, advise on ML and rule-engine tuning, coordinate with Product and Engineering, run business reviews, educate clients on best practices, and translate customer needs into product feedback to reduce fraud and streamline operations.

Own and evolve product metrics, investigate anomalies and conversion bottlenecks, validate hypotheses, and identify growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, tracking requirements, and actionable recommendations. Partner with Product and functional leads to prioritize high-impact problems, maintain metric definitions and experiment archives, and proactively identify data-quality issues.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design, build, and operate low-latency, mission-critical trading systems in Rust. Own trading stack components end-to-end, collaborate with quants and traders, troubleshoot production issues, improve performance, reliability, observability, and drive engineering standards and automation including AI-assisted workflows.

The AI Content Expert is responsible for creating and annotating complex training data for Large Language Models, ensuring quality and adherence to guidelines while collaborating with scientists and engineers.

As a Software Architect, you will define system architecture, guide engineering teams, ensure high availability and security, and recommend technologies for scalable solutions.

As a QA Automation Engineer, you will build and maintain automated test frameworks, execute various testing types, and enhance application stability and reliability in a fast-paced environment.

As a Release Engineer, manage and optimize application release pipelines, coordinate with cross-functional teams, and automate deployment processes to ensure efficient software delivery.

As a Database Administrator at Air Apps, you will manage and optimize complex databases, work with engineering teams, and ensure data integrity and security.

As a Site Reliability Engineer, you will ensure system reliability and scalability through automation, performance optimization, and collaboration with DevOps teams. Responsibilities include designing fault-tolerant systems, managing observability tools, and participating in incident management.

The Data Engineer will analyze data to drive business insights, create dashboards, and collaborate with teams to optimize product performance using SQL and visualization tools.

As a Systems Administrator, you'll manage IT infrastructure, user access, cloud tools, and ensure network security, providing tech support and automating operations.

Analyze user behavior and product performance to drive insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

As a QA Engineer, you will ensure quality and reliability of mobile applications through manual testing, API testing, and automation, while collaborating with cross-functional teams to improve software quality.

As a Product Analyst, you will analyze product data, evaluate competitors, collaborate with teams to enhance features, and provide actionable insights for decision-making.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Design, build, and maintain a high-performance Kubernetes fleet management system; contribute to Linux kernel development and tuning; develop automation and diagnostic tools in Go/Python/C++; integrate optimized OS distributions; and implement observability frameworks to ensure reliability and scalability across millions of instances.

Maintain and develop exposure-based pricing models for Travelers Europe; implement algorithms in the Hyperexponential production system; run batch rating and base-rate calibration processes in Python; prepare data for actuarial rating validation; liaise with underwriters; expand pricing datasets and support pricing team tasks including case pricing, business planning, and reinsurance purchase.

Partner with Local Payment Methods teams to analyze data, build ML and statistical models, run experiments, and produce insights to grow and optimize payments. Deliver data products, forecasting, causal analyses, and recommendations to influence product and business decisions.

As a Staff Engineer, DevOps, you'll lead DevOps initiatives, mentor engineers, and shape technical strategies to enhance infrastructure and practices at LearnUpon.

Lead design, implementation, and support of enterprise Linux platforms. Administer IBM Spectrum Scale, OpenShift/Kubernetes/OpenShift AI, and VMware. Ensure availability, performance, security hardening, automation, monitoring, DR, and mentor engineering teams while driving platform modernization.

As a Principal Machine Learning Engineer, you will drive high-impact AI product development, lead exploratory data analysis, and collaborate within cross-functional teams to deliver innovative solutions.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.