Top Python Jobs in Dublin

Quantitative Researchers at Citadel use advanced statistical techniques to develop models and trading strategies, backtesting them in live environments.

Lead an AI engineering team to develop, fine-tune, and deploy foundation models and generative AI for high-impact use cases. Drive end-to-end delivery from problem definition to production, ensure data and MLOps readiness, establish evaluation and responsible AI practices, and provide technical leadership and stakeholder alignment to deliver secure, scalable, measurable solutions.

Lead modernization of fraud-rule platforms and large-scale migrations. Provide technical leadership across cross-functional teams, design scalable low-latency microservices, mentor engineers, and ensure architectures meet security, compliance, and operational standards.

Lead modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design compliant scalable low-latency microservice platforms, mentor engineers, and apply Gen AI/LLM familiarity to fraud solutions.

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.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build APIs and microservices, integrate with cloud and data platforms (AWS, Cloudera, Databricks), apply prompt engineering and orchestration frameworks, monitor model performance, ensure security/compliance, and mentor engineers.

Lead modernization and large-scale migrations of fraud rules/engines and high-throughput global platforms. Provide technical leadership, design compliant scalable architectures, mentor engineers, scope and estimate projects, and drive engineering excellence including performance, security, automation, and deployment best practices.

Lead an AI engineering team to develop, fine-tune, and deploy foundation models and generative AI for high-impact use cases. Drive end-to-end delivery, collaborate with product, data engineering and platform teams, embed responsible AI practices, and provide technical guidance to ensure scalable, production-ready solutions.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices on cloud platforms (AWS, Cloudera, Databricks). Use frameworks like LangChain and MCP, ensure security/compliance, monitor model performance, and mentor junior engineers while collaborating across product, engineering, and data teams.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Build and maintain knowledge bases, architect scalable cloud solutions (AWS, Cloudera, Databricks), develop APIs/microservices, ensure security/compliance, monitor model performance, mentor engineers, and collaborate cross-functionally to translate business needs into production AI systems.

Design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, scalable cloud-native services (AWS/Cloudera/Databricks), APIs/microservices, and production-grade model integrations. Monitor model performance, ensure security and compliance, mentor engineers, and collaborate cross-functionally to translate business needs into AI-enabled products.

Design, build, and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain, and vector search. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), develop APIs and microservices, optimize model performance in production, and mentor engineers while ensuring governance, security, and compliance.

Lead a team building and deploying foundation models and generative AI solutions. Drive end-to-end delivery from problem definition to production, partner with stakeholders, ensure data readiness and MLOps, establish evaluation and responsible AI practices, and coach engineers to deliver reliable, scalable AI use cases.

Design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), APIs, and microservices; implement LangChain and MCP patterns; monitor and optimize production model performance; ensure data governance and compliance; mentor engineers and drive engineering best practices.

Lead a team developing and deploying foundation models and generative AI solutions. Drive end-to-end delivery from problem definition to production, collaborate with product, data engineering, and platform teams, establish evaluation and responsible AI practices, and provide technical leadership and coaching to ensure robust, scalable, measurable AI use cases.

Lead modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design and implement scalable, low-latency microservice platforms, mentor engineers, ensure architecture/security/compliance, and apply AI/LLM familiarity for fraud solutions while driving engineering excellence and reliable operations.

Design, build, and deploy enterprise AI solutions using LLMs, RAG, and vector search. Architect scalable, secure cloud-based systems (AWS, Databricks, Cloudera), develop APIs and microservices, optimize model performance, and ensure data governance and compliance. Mentor engineers and collaborate cross-functionally to deliver production-ready AI applications.

Lead a team to develop, fine-tune and deploy foundation models and generative AI solutions. Drive end-to-end delivery from problem definition through production integration, partner with product and data teams, ensure responsible AI practices, and provide technical coaching to deliver scalable, measurable business outcomes.

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.

Lead modernization and large-scale migrations of fraud rules/engines, provide technical leadership and architecture alignment, mentor engineers, drive engineering excellence, scope and plan projects, implement secure, high-throughput, low-latency microservices using Java/Python/Go, and ensure scalability, performance tuning, and operational best practices across global platforms.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and scalable cloud-native systems (AWS, Cloudera, Databricks). Mentor engineers, ensure security/compliance, optimize model performance, and collaborate cross-functionally to productionize AI applications.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.

Lead modernization of fraud rules/engines and large-scale migrations; provide technical leadership, design scalable low-latency microservices, ensure architectural and security compliance, mentor engineers, assist with scoping/estimation, and drive engineering excellence across development and operations.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven apps (LangChain), secure cloud/databricks integrations, APIs/microservices, monitor model performance, and mentor engineers while ensuring compliance and operational excellence.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable cloud-native APIs and microservices, integrate LLM frameworks (e.g., LangChain/MCP), ensure security and compliance, monitor model performance, and mentor engineers.