Top Python Jobs in Dublin

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Lead a team of engineers in delivering web applications using Node.js and React. Involve in technical and architectural decisions, improving development processes, and mentoring team members.

Design, build, and maintain coding assessment frameworks and learning courses. Create fair, predictive assessments and engaging lessons, collaborate cross-functionally, apply pedagogical principles, automate processes, and continuously improve content while learning new technologies.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

As a Data Scientist, you will design and deploy data-driven fraud prevention solutions, working directly with clients to tackle unique challenges. You'll build machine learning models and collaborate with engineering to enhance backend systems.

Design, build, and operate multi-region VM and Kubernetes infrastructure on GCP and AWS. Lead IaC standards with Terraform/Spacelift, implement observability (Grafana/Prometheus/OTel), manage core platform services (DNS, certs, ingress, service mesh), drive automation and CI/CD, mentor engineers, and participate in 24x7 on-call incident response and post-incident reviews.

Develop and extend Menlo Security's web isolation remote browser technology across desktop and mobile. Work on Chromium internals, networking, video/audio, HTML5 features (WebGL/WebRTC), containerization, scaling and load balancing with a strong systems-level Linux and security focus.

As a Data Engineer at Yahoo, you'll implement AI/ML capabilities, build data pipelines, optimize workflows, and collaborate with teams to enhance user experiences.

The Senior Python Engineer will design, develop, and maintain scalable backend systems using Python and Django, optimize performance, collaborate with various teams, and mentor junior engineers.

Lead a cross-functional People Analytics product squad to build predictive and prescriptive people-data products. Drive product ownership, data stewardship, GDPR-compliance, AI-agent enabled insights, and partner with business teams to turn analytics into measurable outcomes. Mentor team members and support roadmap delivery across global operations.

As a Senior Backend Product Engineer, you will develop backend systems, enhance user experiences, collaborate with cross-functional teams, and ensure AI integration in product development.

Lead architecture and engineering for AI-native systems: design agent-operable code boundaries, build context layers and incident agents, drive cross-team product strategy, enforce architectural standards, operationalize AI-first workflows, hire and coach engineering leaders, and scale teams while balancing long-term health and short-term delivery.

The role involves building AI-ready web applications, collaborating with product managers and designers, and improving workflows based on user feedback.

Full-stack Developers at QuantCo build user interfaces for machine learning solutions, collaborating with data scientists and engineers to deliver actionable products.

Deploy, build, and operationalize Dataminr First Alert inside customer environments (mainly defense/national security). Design Foundry data pipelines, ontologies, and operator-facing applications; integrate real-time intelligence with customer data; debug full-stack issues in restricted/on-prem environments; act as trusted technical advisor; travel frequently to customer sites and own solutions end-to-end.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

As a Full Stack Engineer at Qualio, you will collaborate on designing and delivering robust cloud solutions, primarily using Python and AWS, while applying best engineering practices.

As a Full Stack Engineer at Qualio, you will design and implement cloud-based solutions, collaborate with teams, and ensure high-quality delivery of software in a remote environment.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

Design, build, and operate ML platform systems to train, evaluate, deploy, and serve generative models. Improve reliability, scalability, observability, and cost-efficiency of GPU and cloud workloads. Build internal tools and agent-friendly workflows, collaborate with researchers and engineers, and drive platform architecture and automation.

Lead design and governance of PUMA's integration fabric and API platform across DTC engineering. Own API gateway strategy (Apigee), GraphQL architecture, event-driven patterns, observability, security, and developer enablement. Drive API governance, integration testing standards, AI-native integration patterns, and mentor senior engineers while influencing cross-organization architecture and vendor integrations to ensure resilient, performant commerce integrations.

Build, ship, and maintain full-stack features for North: large-scale file uploads, shared knowledge bases, agent extensibility, and data-sync pipelines. Own end-to-end design, implementation, testing, launch, and iteration while working closely with Product, UX, and modeling teams. Prioritize security, performance, and mentoring.

Build, enhance, and support proprietary middle-office treasury, collateral, and trade platforms. Develop backend and frontend features, design and deploy agentic AI workflows, contribute to CI/CD and testing, maintain documentation, provide third-level support, and investigate emerging technologies for continuous improvement.