Senior Consultant, AI Engineer, TC, UKI
Listed on 2026-02-28
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Overview
hackajob is collaborating with EY to connect them with exceptional tech professionals for this role.
Senior Consultant, AI Engineer, TC, UKI
Location:
Manchester;
Other locations:
Primary Location Only
Salary:
Competitive
Date: 30 Jan 2026
Job DescriptionRequisition
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.
AI Engineer - Job SpecificationLocation:
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.
Yourclient 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
- 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, Light
GBM)
- 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 frameworks (eg 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 Lang Graph, Auto Gen, Semantic Kernal and MS Co Pilot
- Experience in any of the following:
- Finance Forecasting:
Revenue prediction, cashflow modelling, financial planning, risk modelling - Energy…
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