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AI Engineer - Job Specification
Location : Belfast & Derry/Londonderry
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.
Your client impact
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 transfer
Essential Qualifications
Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
Essential Criteria
Experience designing and delivering solutions using large language models (e.g., GPT, Claude, Llama, Mistral or similar)
Practical exposure to at least one modern AI/ML platform such as 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 (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM)
Soft skills
Strong analytical and problem-solving mindset with attention to detail
Ability to work independently and drive projects from ambiguous requirements
Story telling with data and insights from the outputs
Consulting skills, supporting development of presentation decks and communication
Preferred Criteria
Experience or knowledge covering at least one of the following areas:
Good knowledge of key machine learning techniques, including supervised, unsupervised, and reinforcement learning
Experience applying statistical modelling, time-series forecasting, and predictive analytics in practical scenarios
Experience with deep learning frameworks (e.g. 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, UiPath, AutoGen, Semantic Kernal, and MS CoPilot and Power Platform
Experience in any of the following:
Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling
Energy Optimisation: 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:
Databricks Certified Machine Learning Professional
Azure AI Engineer Associate or Data Scientist Associate
SnowPro Advanced: Data Scientist
AWS Certified Machine Learning – Specialty
UiPath AI Associate Developer
AI&Data2026
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
