Top Python Jobs in Dublin

Develop and implement quantum-control software and tools, model realistic quantum circuits, write and integrate code for product features, mentor junior scientists, document and present results, and contribute to IP and research publications.

Work with senior traders to design, operate, and improve high-performance algorithmic trading strategies. Apply quantitative analysis to transform large data sets into trading models, solve real-market problems across desks (FX, fixed income, options, ETFs, energy), and collaborate with quants and engineers on strategy enhancements during a hands-on 10-week internship.

The Women's Winternship at Virtu offers an immersive experience in global trading for female students, focusing on trading tools, lectures, and teamwork, culminating in a final contest.

Lead design and delivery of data architecture and analytics platforms. Translate business needs into technical solutions, design data models, ETL/integration, MDM and data quality processes, optimise data warehouses, collaborate with data science/BI teams, produce HLD/LLD, manage technical delivery and stakeholder relationships within agile projects.

As a Senior kdb+ Engineer, you'll lead the development of high-performance kdb+ architectures for financial institutions, mentor junior developers, and ensure quality in code and delivery.

The kdb+ Engineer collaborates with users to define application requirements, develops and maintains code, supports project delivery, analyzes time-series data, and mentors junior developers.

Lead end-to-end delivery of scalable AI/LLM-based solutions on the Salesforce platform: design and implement agentic intelligent agents, build data models and pipelines, integrate LLMs, resolve technical blockers, prototype rapidly, and advise customers as a trusted technical partner.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

The AI Inference Engineer optimizes large language models for various environments, focusing on performance, scalability, and reliability in AI inference serving.

Serve as a customer-facing technical partner in enterprise B2B SaaS sales. Lead discovery, qualify deals, validate technical feasibility, deliver tailored demonstrations, assess integrations and architectures, shape solutions with Account Executives, support trials, and ensure effective post-sale handoffs. The role also provides structured customer feedback to Product and requires cloud, operating system, scripting, GRC, cybersecurity, and audit knowledge.

Serve as a customer-facing Solutions Engineer supporting pre-sales for Vanta’s GRC platform. Partner with Account Executives to discover customer needs, qualify opportunities, validate technical feasibility, shape solutions, deliver tailored demonstrations, and support trials. Demonstrate automation of GRC programs across SOC 2, ISO 27001, and HIPAA frameworks, validate integrations and architectures, provide post-sale handoffs, and relay market feedback to Product. The role requires cloud, operating system, scripting, SaaS, communication, and project management expertise.

Lead detection and response across cloud, blockchain, and AI surfaces. Build detection coverage, run incident response, deploy SOC AI tooling, maintain SIEM/SOAR and orchestration, and collaborate cross-functionally to remediate threats and improve visibility. Participate in on-call rotation and support threat modeling, vulnerability scans, and custom tooling.

The Systems Engineer will manage server infrastructure, database systems, and network performance while collaborating with developers to ensure optimal operation and resource management.

Lead the development and implementation of data science solutions for clinical trials, oversee programming activities, and ensure data integrity.

Build and operate Taktile's IAM and permissions platform end-to-end: design RBAC/ReBAC models, implement authN/authZ (SSO/OAuth/OIDC), ensure multi-tenant isolation and high-performance fine-grained permission checks, create audit trails, and work across React/TypeScript front-end and Python (FastAPI) backend on AWS serverless.

Design, build, test, and deploy scalable, reliable enterprise solutions. Collaborate with architects and stakeholders to gather requirements, implement features, fix bugs, optimize distributed system performance, work in agile sprints, and mentor junior engineers.

Own remote access, edge security, OS lifecycle, provisioning, and networking posture for a global fleet of Linux edge devices. Build and operate tooling for remote management, patching, endpoint protection, cloud/edge integration, and customer security reviews. Collaborate with Edge Engineering, IT, and customer security teams; document processes and respond to field incidents to maintain secure, resilient deployments.

Design, implement, and optimize a real-time, high-performance video analytics pipeline on edge devices. Own custom GStreamer plugins, decoding, batching, inference, tracking, and edge-to-cloud delivery while ensuring low latency, reliability, and observability.

Operate and scale an AI-security SaaS platform using SRE principles: monitor SLOs, manage incidents and on-call rotation, troubleshoot customer-facing issues, automate via IaC and scripting, collaborate with development teams to improve observability, reliability, and security-as-code.

Leads development and deployment of expert and generalist robot policies for industrial automation. Designs task-planning and policy-learning systems using hierarchical planning, reinforcement learning, and hybrid methods. Develops simulation and real-world datasets, guides sensor integration, collaborates across embedded and hardware teams, and advances AI platform architecture, CI/CD, and MLOps. Provides technical leadership, establishes roadmaps, mentors engineers, and deploys robotics algorithms into real-world systems.

Provides advanced technical support to enterprise customers, troubleshooting cloud infrastructure, networking, Linux systems, containers, and security issues. Performs root cause analysis, supports deployments, maintains SLAs, documents solutions, and collaborates with engineering, product, and sales teams. The role also mentors junior staff, contributes to training resources, and helps optimize infrastructure as code, observability, identity management, databases, and customer environments.

Lead technical presales activities for new business and strategic customers, including discovery, solution architecture, demonstrations, proofs of concept, RFPs, technical presentations, and enablement. Partner with Account Executives, guide customers on Twilio APIs and communications solutions, build trusted relationships with technical and executive stakeholders, solve complex problems, create reusable demonstration materials, and mentor junior presales engineers. The role requires German proficiency and approximately 35% travel.

As a Solutions Engineer in the Technical Success team, you will guide Digital Native customers in leveraging OpenAI's APIs to maximize business value, manage pre-sales needs, and ensure effective deployment of AI solutions across various applications.

Design, build, and deploy production-grade agentic AI systems at enterprise scale. Lead client engineering engagements, define RAG and multi-LLM standards, own LLMOps (eval, prompt governance, observability), implement cloud-native architectures, and publish reusable patterns. Manage and develop engineering teams and measure agentic system quality across accuracy, latency, safety, and cost.

Design, build, and automate security controls and processes across cloud and enterprise environments. Perform technical assessments, penetration and segmentation testing, threat detection and response, and collaborate with architecture and SRE teams to implement zero-trust, IAM, and security tooling to improve F5's overall security posture.