Top Python Jobs in Dublin

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

The Senior Applied AI/ML Scientist will build and ship LLM-powered features, drive quality in evaluation, improve retrieval systems, and lead technical discussions with a focus on AI and engineering collaboration.

Leads eDiscovery and Risk Advisory engagements, including client development, data collection strategy, forensic coordination, workflow design, processing, review strategy, production planning, project finances, and close-out. Manages teams, mentors junior staff, supports recruiting, develops client relationships, and contributes to cross-selling and revenue growth. The role requires advanced eDiscovery technology knowledge, strong analytical and consulting skills, and willingness to travel nationally and internationally for extended engagements.

Own the realtime voice channel for an agentic AI travel assistant, including telephony integrations, streaming speech pipelines, model orchestration, latency, safety, and compliance. Build full-stack features with React, TypeScript, Scala, and Python on GCP; support multi-tenant architecture, observability, deployments, incident response, and SLA performance. Mentor engineers and collaborate across product, design, and operations.

Leads platform engineering initiatives across AWS cloud infrastructure, Kubernetes, CI/CD, GitOps, Infrastructure as Code, observability, and developer tooling. The role architects reliable and scalable platforms, improves developer productivity and operational excellence, partners with application teams, leads cross-team technical programs, mentors engineers, and participates in on-call rotations.

Leads technology consulting projects involving data analysis, modeling, process mapping, database development, dashboards, and business intelligence solutions. Responsibilities include managing analysts and consultants, capturing client requirements, facilitating workshops, designing Azure and Microsoft data solutions, testing and assuring models, supporting decision-making, preparing project communications, and contributing to client pitches and business generation.

Triage, investigate, and remediate security alerts using EDR telemetry, logs, and forensic artifacts. Perform tactical malware analysis and Microsoft 365/cloud investigations, contribute to detection engineering, escalate SOC issues, and support projects to improve analyst outcomes and partner security.

Close inbound deals with technical customers, manage proofs of concept, collaborate with solutions engineers, support customers in Slack, answer technical questions honestly, and improve internal sales systems. The role requires technical literacy, systematic pipeline management, strong written communication, urgency, independence, experimentation, and customer-focused judgment.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Designs, deploys, troubleshoots, and continuously improves global LAN, WAN, Wi-Fi, cloud, manufacturing, and hybrid network infrastructure. Responsibilities include Zero Trust security, firewall and NAC management, SD-WAN, VPN, cloud connectivity, automation using Python, Ansible, and Terraform, observability, capacity planning, incident management, documentation, architecture reviews, and mentoring engineers.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Own and operate the end-to-end retrieval pipeline: parsing/chunking, embeddings, vector indexing, semantic+keyword search, reranking, and agentic retrieval loops. Build evaluation (golden sets, metrics, regression tests), ship robust Python/FastAPI services, ensure tenant isolation and data security, and make multilingual retrieval reliable under production load.

Deliver database upgrade services for cloud migrations, automate upgrade tooling, analyze and resolve data/code issues, mentor junior staff, achieve Guidewire product certification, and collaborate with customers to ensure timely, high-quality delivery.

The Senior Cloud Engineer is responsible for managing cloud infrastructure, improving systems scalability, deploying SaaS products, and mentoring junior team members, with a focus on automation and cloud security best practices.

Build and lead Harvey’s Dublin-based Enterprise Application Engineering and AI Enablement teams. The role combines hiring and team development with hands-on system design, coding, integrations, code review, and production support. It owns internal applications, automations, SaaS integrations, reliability, security, and lifecycle management. The manager will apply AI agents to business workflows, establish engineering standards, partner with business stakeholders, make build-versus-buy decisions, and anchor BizTech engineering across EMEA.

Administer and scale go-to-market and customer success systems across Salesforce, Zendesk, enrichment platforms, and marketing automation. Build lead sourcing, enrichment, scoring, routing, support workflows, automations, integrations, dashboards, and data-quality processes. Use AI agents and workflows to reduce manual administration and improve pipeline conversion, support performance, and customer retention. Partner cross-functionally with Sales, Marketing, Support, Customer Success, and Operations while documenting scalable system architecture and processes.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Join Guidewire's Platform team to automate and manage cloud-native, multi-tenant SaaS infrastructure. Improve reliability, observability, incident management, SSO platforms, and core infrastructure via automation, IaC, container orchestration, and collaboration with product teams.

The Senior Penetration Tester performs advanced security assessments, identifies vulnerabilities, mentors other testers, and communicates findings to clients. Responsibilities include manual testing, reporting, and collaboration with various teams.

Work as an individual-contributor Data Scientist building and maintaining data pipelines and ML models for risk intelligence. Clean and prepare messy data, deploy and monitor production models, collaborate with product and engineering, and iterate on solutions using Python and ML libraries. Communicate technical tradeoffs and document methodologies clearly.

Design, build and validate high-value AI proofs of concept and prototypes, focusing on practical business value, production-readiness and responsible AI. Collaborate with product, engineering, governance and stakeholders to run RAG, embeddings, prompt engineering and model evaluation, then recommend pilots or productionisation while ensuring security, observability, integration and operational feasibility.

The Hardware Solutions Engineer designs and supports customized server and infrastructure solutions for AI and HPC environments, ensuring performance and reliability.

Lead technical deal cycles for enterprise and commercial accounts: perform technical discovery, design solutions, build POCs and AI-driven workflows, configure integrations and APIs, ensure security/compliance, and advocate product feedback to internal teams.

The Senior PDK Development Engineer will develop, maintain, and support Process Design Kits, collaborating with teams and ensuring design compliance.

Lead design and deployment of advanced signal-processing and machine-learning algorithms for power system monitoring and grid analytics. Architect Edge-to-Cloud solutions for embedded, resource-constrained systems, guide end-to-end development from modeling through production, influence product strategy, collaborate with cross-functional teams and external partners, and mentor engineers toward scalable grid intelligence products.