Senior Consultant, AI Engineer, TC, UKI

Overview

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Senior Consultant, AI Engineer, TC, UKI

Location:

Manchester;
Other locations:
Primary Location Only

Salary:
Competitive

Date: 30 Jan 2026

Requisition

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.

Location:

Manchester

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

• 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, Num Py, XGBoost, LightGBM)

• 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

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 (Tensor Flow, PyTorch, Keras)
• Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques
• Familiarity with distributed computing…