Senior Consultant, AI Engineer, AI&Data, UKI

Ernst & Young Advisory Services Sdn Bhd; Belfast; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading consulting firm is seeking an experienced AI Engineer to drive machine learning initiatives. In this role, you will design and deploy advanced AI models across various industries, leveraging modern cloud platforms. The ideal candidate possesses strong expertise in machine learning, LLM solutions, and robust programming skills in Python. Join us to be part of transformative projects that shape the future of technology.

Benefits

Flexible working hours

Professional development opportunities

Health and wellness programs

Qualifications

• Hands-on experience with deploying machine learning models in production environments.
• Proven ability to build LLM-based solutions like GPT or Claude.
• Strong proficiency in programming with Python and related ML libraries.

Responsibilities

• Design and deploy end-to-end machine learning models.
• Collaborate with cross-functional teams to create AI solutions.
• Communicate insights to stakeholders through exploratory data analysis.

Skills

Machine learning model deployment

Large language model (LLM) solutions

Statistical modeling

Deep learning frameworks

Programming in Python

Education

Master's or PhD in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Databricks

Azure Machine Learning

Snowflake

Job description

Overview

Location: Belfast

Other locations: Primary Location Only

Date: 24 Oct 2025

Requisition ID: 1654443

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 : London

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 across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms.

• Design, 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
• Translate business requirements into technical AI/ML features, model selection, architecture decisions
• Conduct exploratory data analysis and communicate insights to stakeholders
• 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

Required Qualifications

• Essential: Strong level of hands-on experience developing and deploying machine learning models in production environments
• Essential: Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar)
• Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches
• Strong proficiency in statistical modeling, 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
• Understanding of natural language processing, computer vision, and recommender systems
• Essential: Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex)
• Strong programming skills in Python and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM)
• Familiarity with distributed computing frameworks (Spark, Dask, Ray)
• 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

Preferred Experience

• Finance Forecasting: Revenue prediction, cashflow modeling, financial planning, risk modeling
• 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 modeling

Preferred Qualifications

• Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field
• Big 4 or tier-1 consulting firm experience
• Certifications such as:
• Azure AI Engineer Associate or Data Scientist Associate
• Experience with generative AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI)
• Knowledge of graph neural networks, reinforcement learning, or causal inference
• Experience with AI governance, model risk management, and regulatory compliance

EY | Building a better working world

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