Machine Learning Engineer

Job Details

AI Engineer
Dublin, Ireland (Hybrid – 3 days on-site)
6-Month Initial Contract Strong likelihood of extension
Client: Major Financial Institution

About the Role
A leading enterprise banking organisation in Dublin is seeking a hands-on Senior Software Engineer to join their Enterprise Risk and Finance Technology team. In this role, you will lead solution designs and build cutting-edge, AI-enabled workflow automations utilising Microsoft Copilot Studio, Power Platform, and Python.

Key Responsibilities

  • AI & Automation: Design, build, and maintain Copilot Studio agents, tools, actions, orchestration workflows, and enterprise automation solutions.
  • Backend & Integrations: Develop supporting services and automation components in Python; design enterprise integrations using REST APIs, JSON, and OpenAPI/Swagger specs.
  • Architecture & Leadership: Lead technical design activities for scalable solutions, perform code reviews, establish best practices, and mentor junior developers.
  • Agile Collaboration: Translate complex business requirements into technical deliverables alongside BAs, product owners, and engineering teams during sprint planning.

Required Skills & Experience

  • 5+ Years Experience: Delivering enterprise-grade software within complex, regulated environments.
  • Core Tech Stack: Advanced Python development alongside strong REST API, JSON, and web service integration expertise.
  • Technical Ownership: Proven track record owning technical architecture and design for medium-to-large software initiatives.
  • Engineering Standards: Background conducting peer code reviews, establishing best practices, and working in Agile environments.
  • Communication: Clear, effective written and verbal communication skills.

Preferred & Desirable Qualifications

  • Hands-on experience with Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps).
  • Integration experience with Microsoft 365 services (Teams, SharePoint).
  • Exposure to Generative AI, LLMs, Agentic AI, or Model Context Protocol (MCP) services.
  • Familiarity with Azure Cloud, CI/CD pipelines, and Financial Services domain experience.