Machine Learning Engineer

ITSearch · Recruitment agency

Full-time•AI•Ireland · Remote within Ireland · Hybrid

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TechJobs.ie Job Insights

At a glance

Employment type: Full-time
Location: Ireland · Remote within Ireland · Hybrid
Workplace: Hybrid · 3 days in office
Category: AI

Technologies & skills

Primary technologies

Python

Cloud & infrastructure

Azure CI/CD

Other technical skills

REST APIs LLMs

What you'll be doing

Hands-on Senior Machine Learning Engineer role in Dublin, Ireland (hybrid) for a major financial institution. Lead solution design and build AI-enabled workflow automations using Python, REST APIs, and Azure. Mentor junior developers, own technical architecture, and collaborate in Agile teams.

Design, build, and maintain Copilot Studio agents, tools, actions, orchestration workflows, and enterprise automation solutions
Develop supporting services and automation components in Python
Design enterprise integrations using REST APIs, JSON, and OpenAPI/Swagger specs
Lead technical design activities for scalable solutions
Perform code reviews and establish best practices
Mentor junior developers
Translate business requirements into technical deliverables in Agile teams

Key requirements

Must-have

5+ years delivering enterprise-grade software in complex, regulated environments
Advanced Python development
Strong REST API, JSON, and web service integration expertise
Proven technical architecture and design ownership
Experience conducting peer code reviews and establishing best practices
Agile environment experience
Clear written and verbal communication skills

Nice-to-have

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

Experience: 5+ years delivering enterprise-grade software within complex, regulated environments

Role signals

Technical focus: AI-enabled workflow automation, backend integrations, architecture, and mentoring
Leadership: Mentoring
Architecture / system design: Indicated in the listing
Hands-on vs management: Hands-on

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Full job description

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.

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Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the role is a hands-on Machine Learning Engineer position focused on designing and building AI-enabled workflow automations, backend integrations, and leading technical architecture within a regulated financial environment.

Hands-on AI workflow automation·High
Technical architecture ownership·High
Backend integration expertise·High
Mentoring and best practices·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

Review AI Workflow Automation Tools
0–8 min
Study Microsoft Copilot Studio and Power Platform documentation, focusing on building and integrating workflow automations.
Prepare Technical Project Examples
8–15 min
Select and outline 2-3 relevant projects demonstrating your experience with Python, REST APIs, and technical architecture in regulated environments.
Refresh on REST API and OpenAPI Standards
15–20 min
Review best practices for designing, documenting, and securing REST APIs, including OpenAPI/Swagger.
Reflect on Leadership and Mentoring
20–25 min
Prepare stories that showcase your experience leading design, conducting code reviews, and mentoring junior engineers.
Research Agile Practices in Financial Services
25–30 min
Review Agile methodologies and how they are applied in regulated, financial environments.

Likely questions

Expand all

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

1Describe a complex AI-enabled automation solution you have designed and implemented. What challenges did you face and how did you overcome them?High
Why they may ask
Assesses your hands-on experience with AI workflow automation and problem-solving skills.
Prepare to discuss
- Clearly outline the business problem and your solution approach.
- Highlight specific AI tools or platforms used (e.g., Copilot Studio, Power Platform).
- Discuss technical and organizational challenges and your strategies for resolution.
- Quantify the impact or improvements achieved.
Tip: Choose an example relevant to enterprise or regulated environments.
2How have you ensured robust and secure REST API integrations in your previous projects?High
Why they may ask
Evaluates your technical depth in backend integration and security best practices.
Prepare to discuss
- Describe your approach to designing, documenting, and testing APIs.
- Mention use of OpenAPI/Swagger and handling of authentication/authorization.
- Discuss error handling, monitoring, and compliance considerations.
Tip: Reference specific standards or frameworks you have used.
3Can you walk us through your process for leading technical architecture on a medium-to-large software initiative?High
Why they may ask
Tests your ability to own and drive architectural decisions and communicate them effectively.
Prepare to discuss
- Explain how you gather requirements and align stakeholders.
- Describe your approach to designing scalable, maintainable solutions.
- Share how you document and communicate architecture to the team.
- Mention any tools or frameworks you use.
Tip: Use a real project example and highlight leadership aspects.
4What strategies do you use to mentor junior developers and establish engineering best practices?Medium
Why they may ask
Assesses your leadership and team development skills.
Prepare to discuss
- Share specific mentoring techniques or programs you've implemented.
- Discuss how you conduct code reviews and provide constructive feedback.
- Explain how you foster a culture of continuous improvement.
Tip: Include measurable outcomes or improvements where possible.
5Describe your experience working in Agile teams and translating business requirements into technical deliverables.Medium
Why they may ask
Evaluates your collaboration and communication skills in Agile environments.
Prepare to discuss
- Explain your role in sprint planning and backlog refinement.
- Share how you work with BAs, product owners, and engineers.
- Give examples of successful delivery of complex requirements.
Tip: Highlight any tools or ceremonies you are familiar with.
6Have you worked with Microsoft Copilot Studio, Power Platform, or similar tools? What was your approach to integrating these with backend systems?Medium
Why they may ask
Assesses your familiarity with the preferred tech stack and integration skills.
Prepare to discuss
- Describe specific projects using Copilot Studio or Power Platform.
- Explain integration patterns and challenges faced.
- Discuss how you ensured reliability and scalability.
Tip: If you lack direct experience, relate similar tools or platforms.
7What is your experience with Azure Cloud and CI/CD pipelines in deploying AI or automation solutions?Lower
Why they may ask
Tests your cloud deployment and DevOps knowledge relevant to the stack.
Prepare to discuss
- Describe your role in setting up or maintaining CI/CD pipelines.
- Explain how you leveraged Azure services for deployment and monitoring.
- Share any automation or optimization you implemented.
Tip: Be specific about tools and outcomes.

Talking points

Designing and Building AI-Enabled Automations
You will need to demonstrate experience creating workflow automations using AI tools, especially with Microsoft Copilot Studio or similar platforms.
Advanced Python Development
The role requires strong Python skills for developing backend services and automation components; be ready to discuss complex projects you've delivered.
REST API and Web Service Integrations
You should be able to explain how you've designed and implemented robust integrations using REST APIs, JSON, and OpenAPI/Swagger specifications.
Technical Leadership and Code Review
Prepare examples of how you've led technical design, conducted code reviews, established best practices, and mentored junior engineers.
Agile Collaboration and Communication
Showcase your ability to translate business requirements into technical deliverables and collaborate effectively within Agile teams.

What to research

Microsoft Copilot Studio and Power Platform
Review documentation and case studies on building workflow automations and integrating with backend systems using Copilot Studio and Power Platform.
REST API Design and Integration
Refresh your knowledge on designing, documenting, and securing REST APIs, including OpenAPI/Swagger specifications.
Technical Architecture in Regulated Environments
Prepare examples of leading architecture and design in complex, regulated industries such as finance.
Agile Methodologies and Team Collaboration
Review your experience working in Agile teams, focusing on translating business requirements and collaborating with cross-functional stakeholders.

Questions to ask

What are the main business goals for the AI-enabled workflow automations in this team?
Why ask this? To understand the strategic impact and priorities of your work.
How is success measured for automation and AI projects within the Enterprise Risk and Finance Technology team?
Why ask this? To clarify performance expectations and KPIs.
What is the current maturity of the team's use of Copilot Studio and Power Platform?
Why ask this? To gauge the learning curve and potential for innovation.
How does the team approach technical design reviews and knowledge sharing?
Why ask this? To assess the culture of collaboration and continuous improvement.
What are the biggest technical or organizational challenges currently faced by the team?
Why ask this? To identify where your skills can add the most value.
Are there opportunities to contribute to the broader AI strategy or mentor across teams?
Why ask this? To explore leadership and growth opportunities.

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Apply NowApply before: 15 Oct 2026

Machine Learning Engineer

TechJobs.ie Job Insights

At a glance

Technologies & skills

What you'll be doing

Key requirements

Role signals

Similar jobs

Full job description

About the Role

Key Responsibilities

Interview prep pack

Your interview focus

Only have 30 minutes?

Your 30-minute plan

Likely questions

Talking points

What to research

Questions to ask

Register now to upload your CV

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