Top Python Jobs in Dublin

Design and implement AI/ML features for conversation intelligence: build end-to-end pipelines from data ingestion and feature engineering to model development, validation, deployment, and monitoring. Instrument services with metrics and telemetry, participate in on-call rotations and progressive rollouts, and collaborate across teams to review code and improve production inference reliability and performance.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Design, build, and maintain scalable batch and streaming data pipelines, internal tools, and APIs to support analytics, product features, and ML. Collaborate with product and engineering to improve data infrastructure, ensure reliability, testing, and observability in a cloud-native environment.

Lead delivery of the Talent Science project roadmap, design and implement data-driven talent selection solutions, ensure hiring initiatives map to performance outcomes, coach and develop team members, and represent the Talent Science team to senior leadership.

Lead full‑stack product development for WeTravel's Supply platform: design and implement quoting, supplier/catalog, partner onboarding and payouts. Work end-to-end with product, write TypeScript/React frontend and backend services, operate production systems (monitoring/on‑call), mentor engineers, and help take features from early access to broad adoption.

Own, design, build, and operate distributed, high-load backend services and data pipelines for ML infrastructure. Partner with ML and product teams to deliver self-service, reliable model serving, storage, and deployment components; ensure observability, scalability, and performance while driving technical decisions and continuous improvement.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

Join the CloudEOS team to develop cutting-edge software for Cloud-enabled WAN connectivity, focusing on control plane and APIs/services in a high-caliber environment.

The Senior Platform Engineer will enhance reliability, performance, and scalability of systems, improve operational excellence, and automate processes. Responsibilities include incident management, observability solutions, cost optimization, and cross-functional collaboration.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

The Web Developer will create and maintain high-quality web applications, collaborating with designers and other developers to enhance user experience while adhering to web standards and best practices.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Migrate Microsoft Sentinel and related Azure resources to Infrastructure-as-Code (Terraform); build and maintain secure CI/CD pipelines in GitHub and Azure DevOps; apply software engineering practices, automate deployments, produce documentation and inventories, and communicate migration status to technical and non-technical stakeholders.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

Lead presales, RFP, requirements analysis, and solution design for supply chain transformation engagements. Act as a business-technology bridge to capture requirements, conduct fit-gap and process analysis, design scalable planning and execution solutions powered by data and AI, and support implementation, UAT, and client stakeholder management.

Lead architecture and delivery of Twilio's observability platform: design telemetry pipelines, unify logs/metrics/traces, build developer tooling, drive OpenTelemetry adoption, mentor engineers, and ensure scalable, cost-effective observability at platform scale.

Operate and improve brokerage platform reliability: on-call incident response, define SLIs/SLOs, enhance observability, deploy infrastructure via GitOps, and own PostgreSQL performance, migrations, HA/DR, and mentoring.

As an Automation QA Engineer, you'll design and implement test frameworks for Oracle projects, focusing on automation testing for APIs and web interfaces, collaborating with development teams to identify and resolve defects.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

As a Senior Backend Engineer, you'll develop features using Python and various AWS services, focusing on AI-driven solutions for the insurance sector.

The Solutions Engineer partners with Sales and Customer Engineering, guiding customers through database migrations and optimizing solutions. Responsibilities include technical discovery, designing migrations, assessing workloads, creating tools and documentation, and collaborating with teams for customer needs.