Senior Consultant, AI Engineer, AI, UKI

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AI Engineer - Job Specification

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 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

Preferred 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

AI&Data2026

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