Top Python Jobs in Dublin

Develop, prototype, and productionise optimisation and machine learning models for operational decision-support. Own end-to-end use cases, build data pipelines, ensure CI/CD and orchestration, engage stakeholders, and deliver production-grade solutions within an agile product squad.

Design, build, and maintain ELT pipelines and dbt SQL models for analytics; optimize performance, scalability, and costs; apply AI-enabled tools to improve engineering workflows; collaborate to translate requirements into production-grade data assets.

Lead design and build of a greenfield, cloud-native banking platform. Architect scalable, secure systems, write production Java code, mentor engineers, drive CI/CD, SRE, testing, API design, and collaborate with product, compliance, and business stakeholders to translate requirements into technical solutions.

Lead the implementation of security practices in cloud and hybrid infrastructure, focusing on AWS and Kubernetes security, continuous vulnerability management, and securely automating CI/CD pipelines.

Design, develop, and implement machine learning models and algorithms, collaborate with teams to enhance AI/ML services, and ensure data quality.

The Solutions Engineer will partner with the Sales team, ensure technical validation, deliver demonstrations, and support customers throughout their journey.

As a Solutions Engineer, you will lead technical discussions with prospects, support customer onboarding, and develop solutions to enhance customer experience and retention.

The Senior Forward Deployed Engineer will enhance customer experiences with AI by consulting on technical solutions, driving product adoption, and collaborating with teams to achieve customer success.

Design and build Home Assistants AI foundation: conversation APIs, LLM integrations, in-product agents, MCP interfaces, local on-device inference, and AI-powered workflows. Review community PRs, collaborate on architecture, and ensure private, reliable, user-controlled AI features.

Build and operate end-to-end ML infrastructure for training, evaluation, deployment, inference, observability, and CI for large-scale AI systems. Optimize reliability, latency, throughput, cost, and developer tooling to enable rapid experimentation and production-grade model serving.

Design, build, and productionize LLM-powered applications and agent workflows. Integrate models with tools, databases, and services; develop prompting, orchestration, evaluation frameworks; debug and optimize AI behavior for reliability, latency, cost, and product impact.

Lead research, design, and production deployment of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle, improve model quality, enable MLOps, mentor engineers, and integrate CV features into production systems.

Lead design, research, and productionization of NLP and LLM capabilities (NER, classification, generation, semantic search, RAG/GraphRAG). Build experiments, prototypes, evaluation metrics, and integrate models into production workflows while collaborating with engineering, data, and product teams.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Lead research on model architectures to improve attention, memory, and efficiency. Design and run experiments at scale, develop methods to reduce training/inference cost, collaborate with engineering for implementation, publish and open-source work, and mentor other researchers to shape the research direction.

Design, implement, and maintain desktop applications, cloud services, and automation testing. Lead architecture and feature implementation, perform code reviews, write unit/integration tests, support CI/CD and DevOps, and collaborate within Agile/Lean Scrum teams to improve product quality.

Design, build, operate, and support resilient distributed platform services. Write maintainable code, troubleshoot production issues, improve reliability and observability, and assist internal teams. Participate in on-call rotations and collaborate on platform evolution.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, provider abstraction, LLMOps (eval harnesses, prompt versioning, observability), cloud-native deployment (Kubernetes/Docker/CI-CD/IaC), and embed with client teams to deliver reusable patterns and measurable metrics for accuracy, latency, safety, and cost.

Lead front-end technical strategy across multiple teams for a complex, data-dense merchant platform. Own architecture, component systems, state management, performance, accessibility, and front-end observability. Mentor engineers, drive cross-team alignment, and partner with Product, Design, and backend engineers to deliver a cohesive merchant experience including the Primer AI Companion.

Maintain and optimize mission-critical bare-metal infrastructure, build automation for web2/web3 deployments, perform R&D and monitoring for blockchain validator/RPC/operator nodes, ensure SLIs/SLOs, and participate in on-call rotation.

Lead design and delivery of scalable, secure cloud-native backend services, shape platform architecture, mentor engineers, contribute hands-on (Go/C++ backends, React frontends), establish engineering standards, improve observability and reliability, and collaborate with product and architecture teams to align technical investments.

Design, build, and execute exhaustive system tests for large end-to-end Arista networking environments. Configure hardware, traffic generators, and tools to emulate customer topologies; identify failures, reproduce bugs, analyze root cause, verify fixes, and present results. Collaborate with development, sales, TAC and POC teams; provide customer-focused feedback, test plan reviews, and cross-training.

Build and maintain pricing models for exchange-traded funds across equities, fixed income, commodities and emerging assets. Collaborate with traders and ETF issuers to understand products and pricing methodologies, deliver accurate, timely prices, and troubleshoot model issues. Communicate findings clearly and work independently and in teams.

The Full Stack Developer will design and implement web-based trading tools, collaborating with traders and other teams to meet needs and enhance user experiences.

Lead technical pre-sales and post-sales for Lago: run discovery calls, build bespoke demos, manage trials and POCs, onboard customers, and liaise with AE, Product, and Engineering to close deals and ensure successful go-lives.