Top Python Jobs in Dublin

Lead architecture and reliability for cloud infrastructure and Kubernetes, improve observability and IaC, drive resilience and incident response, mentor engineers, and shape the platform roadmap.

Advise and handle enterprise customer support requests for PlanetScale platform, act as customer-facing SME, identify and escalate product gaps, collaborate with TAM/Engineering/Sales Engineering, and participate in on-call rotation for high-priority incidents.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Lead delivery of data and analytics projects for infrastructure and real estate clients: capture requirements, design data processes and models, build dashboards, run scenarios, test and assure solutions, produce client reports, and support business development and people development.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Own technical delivery for strategic EMEA accounts: troubleshoot escalations, guide architecture and performance tuning, drive product and AI/ML adoption, deliver training/workshops, and translate customer needs to Product and Engineering.

Lead product definition and delivery for AI research tools by engaging data scientists and researchers, translating workflows into detailed specifications, owning the roadmap, collaborating with UX and engineering, and aligning stakeholders to prioritize and deliver MLOps-focused features.

Lead and manage a team of ML engineers and researchers to design, deploy, and monitor scalable computer vision, graphics, and generative AI models for a VFX platform. Define ML strategy, collaborate with product and engineering to integrate models into production pipelines, ensure responsible AI practices, and partner with infrastructure teams to build efficient training and deployment systems.

Design, implement, and maintain desktop applications, cloud services, and automation testing. Lead architecture and feature implementation, perform code reviews, write unit/integration tests, support CI/CD and DevOps, and collaborate within Agile/Lean Scrum teams to improve product quality.

Serve as the primary technical resource for EMEA sales: run demos, POCs, and deep-dive workshops; architect solutions to meet customer requirements; support international sales cycles; gather product and market feedback; and develop technical sales materials to drive revenue growth across diverse EMEA markets.

Own QA operations and release quality for civil engineering software. Collaborate with scrum teams to run manual and automated tests, design and maintain test cases, report and track defects, reproduce customer issues, automate dashboards/APIs, and improve testing processes to reduce product quality risk.

Design, build, operate, and support resilient distributed platform services. Write maintainable code, troubleshoot production issues, improve reliability and observability, and assist internal teams. Participate in on-call rotations and collaborate on platform evolution.

Join a hybrid London-based team to build full-stack systems that accelerate foundation model research and deployment. Responsibilities include backend and frontend development, prototyping, CI/CD and deployment pipelines, data pipelines, 3D geometry processing and tooling for model evaluation, and close collaboration with research, ML, and infrastructure teams in fast-moving, ambiguous environments.

Develop and deploy post-training techniques for generative video and avatar models. Apply DPO, adapt conditioning, build dubbing and lip-sync solutions, and optimize diffusion models via quantization, pruning and distillation to improve efficiency and rendering quality.

Join Synthesia's Cloud Infra team to maintain and scale EKS Kubernetes clusters, manage AWS/GCP infrastructure, own GitHub Actions CI/CD on self-hosted runners, implement Terraform/Terragrunt IaC, enhance observability with Datadog, drive FinOps, and build internal tooling to improve developer experience.

Develop and productionize avatar-centric video diffusion models: incorporate multimodal conditioning, enable real-time long video streaming, improve lip-sync and motion realism, build evaluation frameworks, collaborate with data teams, and translate research into product features.

Design, maintain, and optimize HLR/HSS/UDM subscriber templates and roaming logic. Lead Full MVNO profile deployments, collaborate with roaming partners and system integrators, define HLR/HSS KPIs, and troubleshoot signalling using Wireshark and roaming platforms.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Own and scale half-hourly forecasting models for frontline workforce demand, lead end-to-end client launches (data validation, model selection, UAT, monitoring), join client calls, build stakeholder relationships, and maintain production ML systems that handle messy data and feedback loops.

Design, implement, and maintain a low-latency real-time risk engine for perpetuals, spots, and prediction markets. Build VaR/ES and Greeks aggregation, margin and liquidation models, position limits, tail-risk models, dashboards/alerts, backtests, and circuit breakers to protect against extreme market conditions. Collaborate with trading infrastructure to meet <50ms P99 latency.

Build, operate, and automate Menlo Security's global cloud-native platform across GCP and AWS. Manage VM fleets and Kubernetes clusters, author Terraform IaC and Spacelift workflows, implement observability with Grafana/Prometheus/OTel, handle networking, DNS, certificates, and service mesh, and reduce operational toil through automation while participating in 24x7 on-call rotation and cross-team architecture and DR planning.

As a Staff Infrastructure Engineer, architect and operate large-scale private cloud platforms with OpenStack and Ceph. Design data center expansions, automate bare-metal provisioning with Ironic, and ensure compliance and security across infrastructure while mentoring engineering teams.