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For Companies At a Glance
- Tasks: Develop and deploy advanced AI models to solve complex business challenges.
- Company: Join EY, a global leader in shaping the future of work.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Proven experience in AI engineering and machine learning solutions.
- Other info: Collaborative culture with diverse teams and excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Location: Belfast or Derry/Londonderry
Position Overview
We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning 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 optimization, 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.
- Deep 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 optimization, customer segmentation, and revenue management.
- Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms.
- Contribute to proposals and technical assessments for new opportunities and internal knowledge.
Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Belfast 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 Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in your industry 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
Prepare for those interviews by practising common questions and showcasing your AI expertise. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Don’t forget to tailor your pitch! When you get the chance to speak with potential employers, make sure to highlight how your skills in AI and data can specifically benefit their business. We want to see you shine!
✨Tip Number 4
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 Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Consultant, AI Engineer role. Highlight your experience with machine learning and large language models, and don’t forget to mention any relevant projects that showcase your skills.
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 background aligns with the job. Be sure to mention specific examples of your work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Since this role is all about AI and data, make sure to list your technical skills clearly. Include any platforms you’ve worked with like Databricks or Azure Machine Learning, and don’t shy away from mentioning your experience with data pipelines and model deployment.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 and large language models. Be ready to discuss specific projects you've worked on, especially those that had a measurable business impact. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex business problems using AI solutions. Think of examples where you translated business requirements into technical features or model selections. This will demonstrate your ability to adapt and design solutions that meet business needs.
✨Collaborate Like a Pro
Since this role involves working with data engineers, architects, and business analysts, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to deliver integrated solutions, as teamwork is key in this position.
✨Get Familiar with the Tools
Make sure you know your way around platforms like Databricks, Azure Machine Learning, and Snowflake. If you have experience building scalable AI/ML pipelines, be prepared to discuss the specifics. Showing familiarity with these tools will give you an edge in the interview.
