Top Python Jobs in Dublin

Customer-facing technical engineer who deploys and integrates Devin into production, leads demos and pilots, identifies high-impact use cases, implements customer-requested features, drives adoption, and serves as the primary technical partner to engineering teams.

10-week Dublin-based internship where graduate students work on quantitative research and algorithm development for market making. Interns apply statistical modeling, machine learning, and deep learning to large trading datasets, complete one or two mentored projects, and receive training and social perks.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Join a small engineering team to build innovative healthcare products using a modern tech stack. Drive product development focused on lab testing and patient experience. This role requires 3+ years of backend experience, preferably in Python, and a passion for technology's role in healthcare.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

The Ubuntu Engineering Lead will oversee and mentor teams, drive the development and delivery of high-quality software, and contribute to community engagement while managing technical roadmaps and cultivating engineering talent.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Develop, validate, and deploy machine learning and statistical models for soccer betting products. Create soccer-specific features, run offline and online experiments, collaborate with data engineering and product teams, follow software engineering best practices, document work, and present findings to technical and non-technical stakeholders.

As a GenAI Consultant, you will design and implement AI solutions using generative AI frameworks, bridging Data Scientists and Engineers, to deliver business value while addressing infrastructure challenges.

Lead design, operation, and improvement of developer platforms and tooling. Act as product owner for CI/CD, source control, observability, and dev tooling; standardise and automate pipelines, enforce security and guardrails, provide self-service capabilities, and ensure platform reliability and monitoring.

Lead and grow a senior Application Security engineering team; define AppSec strategy and roadmap; engage deeply on threat modelling, security architecture, agentic/AI-native tooling, SAST/SCA, vulnerability management and automation; embed security into the SDLC, coordinate with leadership and partner teams, and represent AppSec externally for compliance and customer interactions.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Lead Pantheons SecOps strategy, architecture, and tooling. Build detection engineering, incident response, threat intelligence, and vulnerability/exposure management programs. Drive automation, EU regulatory compliance (GDPR/NIS2), abuse prevention, business resilience, and executive risk reporting while mentoring engineers and influencing cross-team security decisions.

Lead design, automation, and support of low-latency, highly available trading infrastructure across cloud and on-prem. Provide hands-on technical leadership and mentorship, build CI/CD pipelines, automate provisioning with IaC, containerize and deploy applications, support production reliability and incident response, and drive AI-enabled operational tooling and observability. Collaborate with engineering, security, and operations teams and lead Agile delivery.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own and improve large-scale, highly available database architectures across regions. Automate operations with Go/Python, handle performance tuning, capacity planning, backup/recovery, security audits, monitoring (SLO-based alerting), schema changes, data migrations, and collaborate with dev teams on optimization and troubleshooting.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Manage and improve cloud infrastructure and Kubernetes platforms (EKS) using GitOps. Own on-call rotations, incident response, SLIs/SLOs, observability stacks, alerting, and automation. Enable rapid multi-country deployments, collaborate with security audits, and mentor junior engineers.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Build and own user-facing product surfaces across Slack, Teams, and an upcoming web app. Ship end-to-end features to production, own onboarding and retention, design safe propose-and-approve agent flows, talk to users, and iterate quickly. Work across frontend, backend, deployment, and product polish in a small team.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

Design, build, and run production agentic workflows and reusable components for delivery processes. Implement RAG-backed knowledge bases, monitoring, evals, observability, and human-in-the-loop feedback to improve agents and integrate them with delivery teams and business tools.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.