Senior Consultant, AI Engineer, AI&Data, UKI in London

At EY, 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.

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.
• 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.

Essential Criteria:

• 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).

Soft skills:

• 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.

Preferred 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:
• Databricks Certified Machine Learning Professional.
• Azure AI Engineer Associate or Data Scientist Associate.
• SnowPro Advanced: Data Scientist.
• AWS Certified Machine Learning - Specialty.