Top Python Jobs in Dublin

Lead mobile QA across iOS and Android: define test plans, run functional/exploratory/regression/UI/UX and E2E API tests on real devices and emulators, build and maintain UI+API automation integrated with CI/CD, support store releases and crash monitoring, collaborate with product and engineering, and track QA metrics.

Work directly with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Design scalable architectures, build integrations and reference implementations, debug production issues, lead technical workshops, and translate customer needs into product insights. Contribute code and documentation to improve developer experience and support customers through launch and scaling.

Own technical relationships for strategic accounts, drive architecture reviews, deepen product adoption, coordinate LiveKit teams, lead exec business reviews, handle on-site launches and escalations, translate customer feedback into roadmap and hand off expansion signals to sales.

Design, implement, and document advanced GNSS correction and user-positioning algorithms (PPP/RTK/SSR), lead cross-cutting technical projects, drive engineering best practices, mentor engineers, and own feature lifecycle from prototyping through production for Swift's Skylark corrections engine.

Lead and architect end-to-end QA automation for a distributed data SaaS platform: build scalable frameworks, embed tests in CI/CD, drive integration/API/performance/data-integrity testing, eradicate flaky tests, mentor engineers, own release quality sign-off, collaborate across product and engineering, and apply AI tools to accelerate testing and optimize QA metrics.

As a Senior Platform Engineer, you will architect multi-cloud infrastructures for AI-driven applications, focusing on automation, CI/CD pipelines, and stakeholder collaboration.

Owner of messaging, content, and sales enablement for Comet and Opik targeted at LLM engineers, ML researchers, and data scientists. Produce customer-facing collateral, blog and long-form content, partner messaging, demo assets, and represent Comet at events. Work cross-functionally with Product, Sales, and Community Engineering to drive growth and enable technical sales.

As a Full Stack Engineer, you will own the complete stack from UI to API, ensuring high-quality feature development and exceptional user experiences at a fast-paced startup.

Partner with customer engineering teams to design, prototype, and deploy real-time audio, video, and voice AI applications on LiveKit. Build integrations and reference implementations, debug production systems, lead technical workshops, and translate customer needs into product and platform improvements.

Own technical relationships for strategic accounts, drive architecture reviews, deepen product adoption, coordinate cross-functional teams, lead exec business reviews, handle on-site launches and escalations, translate customer feedback into product roadmaps, and build TAM playbooks.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

Provide technical support for AI platform customers by triaging tickets, debugging production LLM applications, escalating to engineering, improving diagnostics and runbooks, participating in incident post-mortems, tracking support KPIs, and enhancing documentation to improve customer self-service and satisfaction.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Lead developer relations and growth by producing technical docs, tutorials, and code samples; represent the project at global events; engage and support developers on Discord/Telegram/GitHub; identify friction in onboarding and work with product to improve SDKs and docs; build partnerships with Web3 and AI projects to drive adoption.

Lead architecture and build a greenfield, white-label consumer engagement and rewards platform. Own backend, infra, mobile/web products, tokenised reward integrations, APIs, monitoring, and hire and scale the engineering team while ensuring production readiness and compliance.

Build and maintain backend API services for a decentralized exchange, design and implement trade routing logic for cross-chain swaps, optimize performance and reliability, collaborate with cross-functional teams, and troubleshoot trade execution and API issues.

Lead on-chain and off-chain market surveillance: detect and investigate manipulation (wash trading, spoofing, front-running), build statistical detection models, conduct transaction tracing, produce real-time dashboards and reports, and collaborate with engineering to automate and integrate advanced surveillance tools.

Join a trading desk after intensive training to manage daily positions, execute strategies, monitor real-time risk, collaborate with developers/quants to refine models and automation, back-test ideas, and provide competitive pricing and execution in high-frequency crypto markets.

Design, train, and improve computer-vision and generative ML models; handle end-to-end ML pipeline from data collection to deployment; prototype research ideas and convert successful prototypes into product-ready solutions; optimize models for efficient on-device inference and collaborate with product teams to integrate models.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

The Data/BI Engineer will build and maintain data pipelines, create dashboards in Looker, and unlock insights from data to support business decisions.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Develop hardware architectures for SoC products, validate architectural choices, write specifications, and collaborate with engineering and customer-support teams.