Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy advanced AI solutions that drive real business impact.
- Company: Join EY, a global leader in shaping the future of work.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a difference with cutting-edge AI technology in a dynamic environment.
- Qualifications: Proven experience in AI engineering and machine learning model development.
- Other info: Collaborative culture with diverse teams and exciting career paths.
The predicted salary is between 48000 - 72000 £ per year.
Location: Belfast
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Position Overview
We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning, Agentic AI, and large language model (LLM) solutions that drive measurable business impact. This role requires hands-on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimisation, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms.
- Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains.
- Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems.
- Substantial understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs.
- Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue.
- Translate business requirements into technical AI/ML features, model selection, architecture decisions.
- Conduct exploratory data analysis and communicate insights.
- Collaborate with data engineers, architects, and business analysts on integrated solutions.
- Build feature engineering pipelines and automated data preparation workflows.
- Design AI solutions for commercial transformation including pricing optimisation, customer segmentation, and revenue management.
- Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms.
- Deploy and manage agentic AI and automation solutions, ensuring continuous learning, adaptation, and improvement in live business environments.
- Contribute to proposals and technical assessments for new opportunities and internal knowledge.
(INV) Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Londonderry employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (INV) Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Londonderry
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning models or automation pathways. We want to see what you can do, so make it easy for potential employers to be impressed!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common AI-related interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace (INV) Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Londonderry
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Consultant, AI Engineer. Highlight your experience with machine learning and AI solutions, and don’t forget to mention any specific projects that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can contribute to EY’s mission. Be sure to connect your past experiences with the responsibilities listed in the job description.
Showcase Your Technical Skills: Since this role requires hands-on experience, make sure to showcase your technical skills clearly. Mention specific tools and platforms you’ve worked with, like Databricks or Azure Machine Learning, and provide examples of how you’ve used them in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning, LLMs, and AI solutions relevant to the job. Be ready to discuss specific projects you've worked on, especially those involving finance forecasting or supply chain optimisation.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex business problems using AI. Think of examples where your solutions had a measurable impact, and be ready to explain your thought process in detail.
✨Collaborate Like a Pro
Since this role involves working with data engineers and business analysts, highlight your teamwork skills. Share experiences where you successfully collaborated on integrated solutions and how you communicated technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they measure the success of their AI implementations. This shows you're genuinely interested and engaged.
