hackajob is collaborating with EY to connect them with exceptional tech professionals for this role.Senior Consultant, AI Engineer, AI&Data, UKI Location: London Other locations: Primary Location Only Salary: Competitive Date: 22 Nov 2025Job DescriptionRequisition ID: 1654443At 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 : LondonPosition OverviewWe 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 impactDevelop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domainsBuild and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systemsDeep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMsAdapt to a wide range of technical challenges across technologies to design a solution applicable to the business issueTranslate business requirements into technical AI/ML features, model selection, architecture decisionsConduct exploratory data analysis and communicate insightsCollaborate with data engineers, architects, and business analysts on integrated solutionsBuild feature engineering pipelines and automated data preparation workflowsDesign AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue managementDevelop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platformsContribute to proposals and technical assessments for new opportunities and internal knowledge transferEssential QualificationsDegree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative fieldEssential CriteriaProven 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 systemsStrong programming skills in Python, SQL and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM)Soft SkillsStrong analytical and problem-solving mindset with attention to detailAbility to work independently and drive projects from ambiguous requirementsStory telling with data and insights from the outputsConsulting skills, supporting development of presentation decks and communicationPreferred CriteriaExperience or knowledge covering at least one of the following areas:Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approachesStrong proficiency in statistical modelling, time-series forecasting, and predictive analyticsExperience with deep learning frameworks (TensorFlow, PyTorch, Keras)Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniquesFamiliarity with distributed computing frameworks (eg Spark)Knowledge of graph neural networks, reinforcement learning, or causal inferenceExperience with AI governance, model risk management, and regulatory complianceExperience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilotExperience in any of the following:Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modellingEnergy Optimization: Load forecasting, grid optimization, demand response, renewable energy predictionPredictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimationSupply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analyticsCommercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modellingPreferred QualificationsCertifications such as:Databricks Certified Machine Learning ProfessionalAzure AI Engineer Associate or Data Scientist AssociateSnowPro Advanced: Data ScientistAWS Certified Machine Learning - SpecialtyAI&Data2026EY | 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.