Top Python Jobs in Dublin

Lead a full-stack engineering team to design, build, and release large-scale analytics applications and microservice-based platforms. Drive architecture, mentor engineers, define product features, ensure CI/CD and code quality, and collaborate with product and global teams to deliver data-driven solutions.

Lead and manage a software engineering team in Mastercard Foundry R&D focused on Quantum, AI/ML. Define requirements, design scalable solutions, drive agile project delivery, collaborate with data scientists and engineers, deploy Python/Jupyter-based systems to production (including Kubernetes), and coach talent while promoting innovation.

Lead and mentor a small full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Own design and delivery of service-oriented architectures and microservices, plan and scope features, ensure code quality and CI/CD practices, collaborate with product and global teams, and drive technical innovation and engineering processes.

Lead a small full-stack engineering team to design, build, and deliver high-performance analytic applications and visualizations on large transaction datasets. Define service-oriented architectures, scope features, mentor engineers, drive CI/CD and engineering quality, and collaborate with product and global teams to deliver scalable microservice-based solutions.

Lead architecture and engineering for enterprise-scale platforms, design scalable microservices and full-stack solutions, guide Generative AI and ML initiatives, champion engineering best practices, mentor engineering teams, coordinate with product and stakeholders, and ensure delivery quality, security, and operational excellence.

Provide technical support and engineering guidance for customers running mission-critical MongoDB workloads. Troubleshoot architecture, performance, recovery, and security issues; lead investigations to resolution; collaborate with Product and Engineering; build tools, documentation, and training; mentor peers and improve technical practices.

Design, develop, and operate large-scale backend systems and services for Pinner-facing features. Lead product development from ideation to release, build scalable APIs, use automated testing, collaborate across teams, mentor engineers, and leverage AI to improve workflows and quality.

Lead software security practices across the development lifecycle by building and tuning vulnerability detection tools, triaging findings, prioritizing risks, improving security processes, and partnering with development and security teams. The role includes automating security workflows, evaluating vulnerabilities and mitigations, tracking security metrics, and promoting best practices across product teams.

Lead software security lifecycle improvements by deploying and tuning vulnerability detection tools, triaging findings, prioritizing security risks, and standardizing security processes. Partner with development, release, and Cisco security teams to remediate vulnerabilities, measure security posture, and promote best practices. Automate security workflows using Go, Python, Bash, or Terraform, with opportunities to apply LLMs, fuzzing, DAST, Kubernetes, and cloud security expertise.

Design and develop RTL for low-latency FPGA and ASIC trading applications, owning hardware designs from specification through verification and production deployment. Improve build, simulation, and verification infrastructure, and coordinate live hardware deployments. The role requires FPGA or ASIC experience, strong SystemVerilog or VHDL and cocotb skills, familiarity with vendor toolchains, and knowledge of high-speed interfaces such as Ethernet, PCIe, and AXI.

Develop AI-enabled business applications and data solutions for an aviation customer. Responsibilities include building AI integrations, agents, workflows, APIs, databases, data models, ingestion processes, governance controls, and scalable application infrastructure. The role also supports deployment, testing, monitoring, optimization, documentation, code reviews, and continuous improvement while partnering with architects, developers, and business stakeholders.

Pre-sales Solutions Architect advising customers on designing and deploying scalable, highly available systems using MongoDB. Support sales with technical discovery, demos, proofs of value, architecture reviews, and solution design. Drive account success, demand generation, and product feedback while mentoring teammates and staying current on cloud, data, and AI/ML architectures.

Designs and builds scalable batch and streaming data platforms supporting AI products. Responsibilities include ingestion, processing, storage, indexing, retrieval, orchestration, data quality, observability, lineage, schema management, and reliability. Partners with ML and product engineering teams to productionize AI and retrieval-based features, contributes hands-on code, establishes engineering standards, and mentors engineers.

Build and deploy production AI and communications solutions for enterprise customers across EMEA. Responsibilities include architecting integrations, deploying LLM infrastructure and AI voice applications, building RAG pipelines, operating Kubernetes services, troubleshooting APIs and real-time communications systems, and leading projects from discovery through production launch. The role also owns customer outcomes, creates technical documentation, and addresses data residency, security, privacy, and compliance requirements.

Lead incident response for critical production systems, triage and coordinate multi-team mitigation, improve availability through monitoring, automation, and post-incident improvements, and act as senior technical escalation on-shift.

Lead development and deployment of AI-driven digital diagnostic technologies, build a diagnostics lab, optimize biomarker data insights, unlock internal and real-world data, and collaborate across data science, engineering, and clinical teams to deliver production-grade ML solutions impacting patient care.

Lead pre- and post-sales technical deployments of a containerized Agentic AI platform for financial services clients. Design cloud and on-premise integrations, build Golang services and Python AI components, implement CI/CD and automated testing, manage MLOps workflows, troubleshoot production issues, and guide customers and partners. The role requires frequent onsite customer engagement across Ireland and the UK, technical leadership during complex deployments, and collaboration with engineering and R&D teams.

Analyze complex datasets to identify trends, business drivers, and opportunities. Translate findings into actionable recommendations, dashboards, and reports using SQL and Power BI. Ensure data accuracy, monitor metrics, investigate quality issues, and streamline reporting workflows through automation and emerging technologies. Partner across business and technical teams while explaining insights to non-technical audiences and supporting data-led decision-making.

Supports Treasury management of the bank’s investment securities portfolio, including fixed-income bonds, HQLA, and CLOs. Responsibilities include portfolio monitoring, valuation, yield and duration analysis, credit-quality reporting, FX trade execution, ALM support, regulatory requests, risk reporting, control procedures, and committee materials. The role also contributes to portfolio construction, investment decisions, process improvements, and financial modeling in a hybrid environment.

Manage, monitor, analyze, and report on the bank’s investment securities portfolio, including fixed-income bonds, HQLA, and CLOs. Support asset and liability management, balance-sheet FX activities, regulatory requests, risk reporting, portfolio construction, investment decisions, process improvements, and monthly committee materials. The role requires treasury or portfolio management experience, financial modeling, strong Excel and PowerPoint skills, and knowledge of structured credit and portfolio analytics.

Administer and optimize internal and customer databases across SQL Server, Azure SQL Database, and PostgreSQL. Design and manage cloud database infrastructure, automate administrative tasks with PowerShell and Python, monitor performance, resolve incidents, and ensure database security and compliance. Collaborate with engineering teams on scalable database solutions, provide subject-matter expertise during customer incidents, mentor engineers, and contribute to architectural decisions and database projects.

Build and optimize machine learning models and data pipelines for Workday’s de-identification and anonymization engine. Apply privacy techniques including differential privacy, k-anonymity, l-diversity, and t-closeness; fine-tune NER and pattern-matching models; and operate high-throughput Spark, EMR, and SageMaker pipelines in production. Collaborate with platform, infrastructure, product, legal, and compliance teams to develop scalable ML systems, data governance frameworks, and clear technical recommendations addressing privacy-utility trade-offs.

Lead a team of 8-10 engineers to design, build, and operate a large-scale PKI and authorization platform. Provide hands-on technical leadership, mentor and hire engineers, ensure security, resiliency, and reliability, and partner with product and cross-team stakeholders.

Lead the architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and analytics pipelines (Databricks/Spark), drive technical vision, mentor engineers, collaborate across global teams, and ensure scalability, security, observability, and continuous delivery.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.