Top Python Jobs in Dublin

The Integration Engineer Level III designs and builds APIs, manages data integration services, ensures production readiness, and provides technical leadership while working on complex projects in an Agile environment.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Technical Lead will manage engineering projects, lead a team, design system features, and ensure the system operates efficiently, securely, and reliably with a focus on logistics and customer needs.

Design, build, maintain, and improve core product features, work with customers on logistics needs, take ownership of projects, and utilize AI tools for development.

As a Product Support Engineer, you will provide technical support for enterprise customers, troubleshoot platform issues, and enhance customer experience with the Cytora platform.

Build, implement, and deploy agentic, LLM-powered platforms and RAG pipelines for enterprise clients; integrate with APIs, data platforms, cloud/on‑prem systems; configure Kubernetes, orchestrate multi-agent workflows, and lead technical consulting engagements with frequent European client site travel.

Define and scale the AI platform infrastructure at Connectly to optimize conversational AI agents. Collaborate with technical teams for platform services, integration, and analytics.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

Join Canonical's Talent Science team to assist in hiring processes using data analysis and behavioral science. Ideal for recent graduates with a psychology background, the role offers opportunities for analytical project work and stakeholder relationships.

Lead the Talent Science team ensuring data-driven processes for recruitment, coaching team members, and delivering strategic project outcomes.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

The Manager will design and deliver interventions for smallholder farmers, manage a team, and build partnerships to improve agricultural outcomes.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Assist in grading writing problems, moderating student discussions, and supporting live classes while honing mentoring skills.

The Spin Qubit Calibration Engineer will calibrate and optimize spin qubit systems, collaborate on hardware integration, develop algorithms for automated calibration, and document research findings.

The Quantum Information Researcher will advance quantum technology through research on error mitigation, collaborate with teams, and prepare research outputs.

The role involves researching and developing quantum algorithms, focusing on quantum chemistry, collaborating across teams, and optimizing algorithms for hardware constraints.

Lead the development of quantum error correction protocols tailored for silicon spin qubits, collaborating with teams to enhance fault-tolerant systems and technical documentation.

The Senior Verification Engineer will verify cryo-control systems for quantum processors, create test sequences, improve verification infrastructure, and ensure robust designs through collaboration and documentation.

The VP of Quantum Software Engineering will lead the architecture and development of a comprehensive software stack for quantum processors, overseeing teams to ensure high-quality software, algorithm integration, and system optimization.

The Software Engineer will build database infrastructure, solve complex distributed systems challenges, and work directly with customers to provide technical solutions.

The AI Platform Engineer will design AI frameworks and tools, enable AI feature integration, create reusable components, and ensure best practices for AI usage across teams.

Provide fast-paced technical support for DataVisor's fraud prevention SaaS platform (Wednesday–Sunday schedule). Triage and resolve customer tickets via Zendesk, monitor system health and alerts, collaborate with engineering for root-cause analysis, document findings in Jira, analyze recurring issues, and feed product team with usability and enhancement feedback.