Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland (1657293)

AI Engineer - Job Specification 

Location : Belfast or Derry/Londonderry 

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. 

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 

• Story telling with data and insights from the outputs 

• Consulting skills, supporting development of presentation decks and communication  

Desired 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 (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 LangGraph, AutoGen, Semantic Kernal 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