Top Python Jobs in Dublin

Design, deploy, and optimize global enterprise wired/wireless networks and VPNs. Lead connectivity between branches, automate operations and monitoring, troubleshoot cross-region incidents, evaluate new technologies, and partner with telecom providers to manage SLAs and escalations.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Lead performance analysis and optimization of large-scale GPU/HPC clusters across hardware and software stacks. Troubleshoot real workloads, qualify and integrate new hardware, tune system configurations (networking, virtualization, kernel), support escalations, and collaborate with infrastructure teams and hardware vendors to ensure cluster performance meets expectations.

Maintain and scale DevTools SRE systems: improve user-facing developer workflows, build fault-tolerant self-healing architecture, optimize performance, modify open- and closed-source tools (GitLab, TeamCity), and support users while measuring improvements via metrics.

Lead and coordinate large-scale cloud platform programs across many teams, set goals and timelines, drive technical and procedural decisions, introduce reproducible processes, and align stakeholders up to C-level to scale regions and hardware generations.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.

Senior backend engineer responsible for designing, developing, testing and deploying on-premise and cloud microservices for an AI-driven digital pathology product. Work with cross-functional agile teams, use containerization and cloud tech, support monitoring and troubleshooting, drive development best practices, and complete required regulated-environment compliance training.

Support the compliance and legal teams with document preparation, deadline tracking, vendor deployment coordination, business analysis, AML/CFT research, Relativity data maintenance, report drafting, cross-team liaison, and general administrative tasks to ensure smooth project workflows.

As a Principal Software Engineer, you'll design backend platforms for AI products, set technical strategies, enhance APIs, and ensure operational excellence while leading multiple teams.

Lead verification of complex SoC and FPGA subsystems using constrained-random, formal and C-based methods. Develop reusable UVM testbenches, integrate AI/ML verification tools, collaborate with emulation/prototyping and architecture teams, and mentor junior engineers to ensure first-silicon success.

Build and operate ML platform systems for training, evaluation, deployment, and serving. Improve reliability, scalability, cost-efficiency, observability, and automation for GPU and cloud workloads. Develop internal tools and agent-friendly workflows, collaborate with researchers and product engineers, and drive platform architecture and developer experience.

Design and maintain reusable UVM-based testbenches and verification environments for next-generation secure, low-power FPGAs. Perform constrained-random, formal and C-based verification, RTL and power-aware verification, collaborate with emulation, prototyping, architecture and design teams, and apply AI/ML-enabled verification techniques to improve coverage and productivity.

Own and build the ElevenAPI developer dashboard features end-to-end (front and back end). Implement usage analytics, observability/metrics, API key management, run UI experiments, and contribute to SDKs to improve developer self-service and troubleshooting.

Serve as the technical lead for enterprise customers in EMEA, advising on data quality monitoring across cloud data warehouses, triaging alerts, recommending dataset design and configuration changes, supporting sales and CS, and feeding product and engineering with customer-driven improvements.

Prepare, review and submit regulatory returns for European entities; reconcile reports to ledgers and risk systems; interpret regulatory changes; support reporting projects, governance, audits and controls; analyze large datasets and improve data quality using automation and analytics tools.

Manage trade clearance, settlement, and reconciliation for trading desks; work with traders, finance, brokers, and custodians to ensure timely settlement, accurate books, and risk mitigation. Support automation, data analysis, and system/control improvements alongside engineers.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Partner with Lodging business leaders to identify high-value analytics and AI opportunities, translate business needs into analytical problem statements, lead discovery and solution shaping, support delivery with Product and Engineering, and build scalable insight products and BI/AI-enabled consumption experiences to drive measurable commercial and operational impact.

Remote research internship supporting semiconductor and AI industry analysis: data collection, market research, basic financial modeling, preparing reports and presentations, attending team meetings, and developing research skills with mentorship and feedback.

Lead enterprise engineering modernization and AI adoption: define architecture standards, drive API/microservice/cloud-native designs, mentor teams, implement AI-assisted development, and accelerate legacy-to-cloud migrations while improving reliability, security, and developer productivity.

Lead research on how AI and datacenter growth reshapes power grids, utilities, and industrial infrastructure. Produce forecasts, reports, and briefings; track transmission, distribution, equipment supply chains, and capex cycles; collaborate with semiconductor and datacenter analysts; support institutional clients and present findings to leadership and at conferences.

Conduct original security research to discover and analyze vulnerabilities, develop detection checks/plugins for Tenable sensors (e.g., Nessus), implement advanced detection logic with low false positives/negatives, communicate and externalize research findings, train other researchers, and collaborate with stakeholders while working across multiple operating systems (Linux).