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For Companies At a Glance
- Tasks: Develop and deploy advanced AI solutions that drive real business impact.
- Company: Join EY, a global leader in consulting and technology.
- Benefits: Competitive salary, diverse teams, and opportunities for career growth.
- Why this job: Shape the future with cutting-edge AI technology and make a difference.
- Qualifications: Degree in a relevant field and experience with machine learning models.
- Other info: Collaborative environment with a focus on innovation and professional development.
The predicted salary is between 48000 - 84000 £ 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 transfer.
Essential Qualifications
- Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field.
- Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar).
- Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex).
- Understanding of natural language processing, computer vision, and recommender systems.
- Strong programming skills in Python, SQL and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM).
- Strong analytical and problem-solving mindset with attention to detail.
- Ability to work independently and drive projects from ambiguous requirements.
- Storytelling with data and insights from the outputs.
- Consulting skills, supporting development of presentation decks and communication.
Desired Criteria
- Experience or knowledge covering at least one of the following areas:
- Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches.
- Strong proficiency in statistical modelling, time-series forecasting, and predictive analytics.
- Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques.
- Familiarity with distributed computing frameworks (e.g. Spark).
- Knowledge of graph neural networks, reinforcement learning, or causal inference.
- Experience with AI governance, model risk management, and regulatory compliance.
- Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernel and MS CoPilot.
Experience in any of the following:
- Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling.
- Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction.
- Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation.
- Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics.
- Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling.
Preferred Qualifications
- Certifications such as: Azure AI Engineer Associate or Data Scientist Associate.
(INV) 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 (INV) Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland in Belfast
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI projects or contributions. This could be anything from GitHub repositories to case studies that highlight your problem-solving skills.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make sure to highlight your hands-on experience with LLMs and machine learning models.
✨Apply Through Our Website
When you find a role that excites you, 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 genuinely interested in joining our team!
We think you need these skills to ace (INV) 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 role of Senior Consultant, AI Engineer. Highlight your experience with machine learning and LLMs, and don’t forget to showcase any relevant projects that demonstrate your skills in AI and data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you a perfect fit for this role. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: We want to see your technical prowess! Make sure to include your programming skills in Python and SQL, as well as any experience with tools like Databricks or Azure Machine Learning. This will help us understand your capabilities right off the bat.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at EY.
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Models
Make sure you brush up on your knowledge of large language models (LLMs) and machine learning algorithms. Be ready to discuss specific projects where you've built or fine-tuned these models, especially in areas like finance forecasting or predictive maintenance.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming prowess in Python and SQL. Have examples ready that highlight your experience with ML libraries like scikit-learn and TensorFlow, as well as cloud platforms like Azure Machine Learning or Databricks.
✨Communicate Insights Effectively
Practice telling a story with data. Be prepared to explain how your analytical skills have led to actionable insights in past projects. Use clear examples to illustrate how you've translated business requirements into technical solutions.
✨Collaborate and Contribute
Highlight your experience working with cross-functional teams, such as data engineers and business analysts. Discuss how you've contributed to proposals or technical assessments, showcasing your consulting skills and ability to drive projects from ambiguous requirements.
