Top Python Jobs in Dublin

Lead hands-on software engineering for Private Equity technology solutions, including architecture, design, development, code review, troubleshooting, production support, and technical leadership. Mentor engineers, drive CI/CD, automated testing, and engineering excellence, and integrate AI-assisted development and LLM or agentic capabilities. Deliver secure, cloud-native solutions using .NET or Python, React, AWS, REST or GraphQL, and event-driven architectures while managing complex projects, stakeholder requirements, risk, quality, and compliance.

Lead the architecture and delivery of scalable, secure cloud-native platforms across public clouds. Define reference architectures, engineering standards, governance controls, observability practices, and reusable developer-platform capabilities. Drive responsible adoption of generative and agentic AI in engineering workflows, including validation, auditability, security, and data protection guardrails. Partner with architecture, engineering, product, security, risk, and business teams while mentoring technical talent and setting enterprise architecture direction.

Lead a small senior engineering team to design, build, and operate enterprise-scale infrastructure platforms. Own architecture, production code, on-call incident response, observability, and AI-native engineering practices. Drive automation, set engineering standards and guardrails for agentic AI, measure outcomes, and partner with stakeholders to ensure reliability, security, and cost-effectiveness.

Design, build, test, and maintain scalable ELT/data pipelines and architectures using Python, Databricks, and AWS. Ensure data security and controls, update data models, and perform advanced SQL and statistical data analysis to support business analytics.

Design, build, and operate LLM-powered applications and agentic AI workflows for employee platforms. Productionize models and services, implement monitoring and SLOs, create CI/CD and testing, build data/retrieval layers, ensure governance and security, and partner with product, SRE, security and data teams to integrate AI capabilities.

Lead and deliver secure, scalable cloud-native software across Python/Node.js/React stack. Design, develop, test, and operate production services, mentor engineers, drive architecture and CI/CD/IaC standards, and champion responsible AI-assisted engineering practices and operational stability.

Build and operate detection and response systems for Notion’s cloud-native environment. Responsibilities include developing high-signal detections, maintaining detection platforms, automating triage and investigation, applying threat intelligence, participating in incident response, measuring detection effectiveness, and supporting on-call operations. The role also involves collaboration with engineering and infrastructure teams and may include LLM-based security workflows, detection-as-code, threat hunting, and adversary emulation.

Leads data and analytics consulting projects for infrastructure and real estate clients. Responsibilities include managing project teams, gathering requirements, developing data processes and models, designing data solutions, building dashboards, testing and assuring solutions, supporting decision-making, and preparing client communications and business-development materials. The role also involves client engagement, project delivery, business generation, and people development.

Build and deploy agentic AI solutions for enterprise customers in production environments. Develop AI agents, prompts, tool calls, integrations, data pipelines, dashboards, and KPI reporting using Salesforce and customer platforms. Partner with strategists, sales teams, architects, customers, and partners to deliver proofs of concept and production systems. Requires customer-facing technical delivery experience, software engineering skills, LLM and prompt-engineering knowledge, data modeling expertise, Greek fluency, English proficiency, and approximately 25% travel.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Staff Engineer and founding team member responsible for designing and developing a greenfield, cloud-native banking platform. The role includes hands-on Java development, AWS architecture, API development, automation, SRE, testing, observability, zero-downtime deployment, security, compliance, and performance. The engineer will mentor teams, translate business requirements into technical solutions, research technologies, and collaborate closely with the CTO, product designers, compliance teams, and business stakeholders.

Develop and validate Python-based AI and statistical programming solutions for clinical trial data analysis and reporting. Collaborate with data scientists and statisticians, build and maintain knowledge graphs, use AWS and other cloud technologies, ensure regulatory compliance, document processes and outputs, and review analysis datasets and final reports for accuracy.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Leads technology and cyber risk management for financial markets platforms. Responsibilities include conducting technical risk deep dives, assessing and monitoring risks, designing and testing controls, reviewing architectures, validating evidence from logs and configurations, identifying attack paths through threat modeling, documenting deficiencies, and advising stakeholders on mitigation strategies and regulatory compliance.

Supports European portfolio management and trading teams through portfolio maintenance, model rebalancing, guideline and benchmark monitoring, compliance review, performance and attribution analysis, risk reporting, and portfolio studies. Partners with Portfolio Managers and cross-functional teams while improving workflows through automation, Python, SQL, VBA, data analytics, and AI-enabled tools.

Operate and automate a cloud-native cybersecurity data platform for the EU Sovereign region. Manage day-to-day administration, capacity planning, SLIs/SLOs, observability, incident response, and IaC to maximize uptime, reduce toil, and ensure compliance with European data residency requirements.

Lead enterprise DevOps and site reliability engineering across Azure and hybrid environments. Design CI/CD, infrastructure-as-code, observability, security, and operational solutions; mentor engineers; resolve complex reliability issues; standardize automation and reusable platform components; and transition projects into managed services. Collaborate with customers and internal teams through workshops, technical design reviews, proposals, and service improvements. The role also supports Microsoft 365, Azure security, mobile device management, Windows Server, virtualization, backup, and hybrid Exchange environments.

Design, develop, test, and maintain scalable backend applications, SDKs, and tools for AI Security solutions. Build RESTful APIs and multi-service systems, troubleshoot production issues, optimize performance, and apply secure coding and scalable architecture practices. Collaborate with product, QA, frontend, and data science teams while contributing to cloud deployment, CI/CD, and continuous improvement.

Develop and maintain high-scale authentication and authorization components for Microsoft Entra using .NET and related technologies. Collaborate with product, platform, and service teams; support integrations; participate in code reviews and design discussions; improve SDKs and APIs; optimize security, resilience, memory, and performance; collect operational telemetry; and apply AI-assisted development practices.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor by assessing reasoning, explanations, engineering judgment, and overall interaction quality. Provide detailed written and recorded feedback, distinguish response quality levels, and help define standards for excellent AI-assisted development workflows. This flexible, remote contract requires strong software engineering experience, familiarity with modern AI development tools, rigorous subjective judgment, and excellent English communication.

Own and improve production machine learning pipelines focused on accuracy, efficiency, and trustworthiness. Build LLM evaluations, judges, datasets, metrics, and benchmarks; run experiments across prompts, models, and pipeline designs; and reduce LLM costs through smaller task-specific models. Expand anonymization capabilities, evaluate open-source models, and collaborate with quality engineers to ship reliable ML features. Document findings and communicate technical trade-offs clearly.

Designs, integrates, validates, and improves robotics and automation systems, equipment, and tooling in regulated manufacturing environments. Leads complex engineering tasks, develops test and maintenance plans, investigates root causes, implements reliability improvements, maintains configuration control, and coordinates cross-functional deployment readiness. The role also requires PLC/HMI troubleshooting, network technology knowledge, vision systems, machine learning, API integration, documentation, compliance, and mentoring junior engineers.

Designs, builds, and supports Cisco dCloud platform solutions across datacenters and public cloud. Develops Go and Python services, SDKs, libraries, Kubernetes workloads, APIs, micro-frontends, MCP servers, and AI-driven automation. Defines architecture, engineering standards, and technical direction while collaborating with partner teams. Maintains system reliability and security, reviews designs, and accelerates demo delivery through infrastructure automation and AI tools.

Designs and implements scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Develops and reviews well-tested code, collaborates with product and design teams, mentors junior engineers, and improves development processes. The role requires expertise in Java, Spring Boot, React, TypeScript, distributed systems, cloud-native development, automated testing, and data-driven solutions.

Design, build, test, and maintain scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Collaborate with product managers and designers, mentor junior engineers, review code, improve development processes, and deliver customer-focused solutions in an agile environment. The role involves supporting credit risk, portfolio optimization, advertising insights, and other data-driven Mastercard products.