Senior Consultant, AI Engineer, AI&Data, UKI

EY Studio+ Nederland; City Of London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading consulting firm in London is seeking an AI Engineer to design and develop advanced AI solutions. This role requires strong expertise in machine learning and large language models to drive significant business impacts across various domains including finance and operations. The ideal candidate will possess experience in production environments, cloud-based AI solutions, and a strong analytical mindset.

Qualifications

• Strong experience in production machine learning model deployment.
• Proven background in LLM-based solutions.
• Proficient in statistical and predictive analytics methodologies.
• Hands-on experience with cloud-based AI technologies such as Azure and Databricks.

Responsibilities

• Design and develop AI solutions for diverse business problems.
• Build end-to-end machine learning models and LLMs.
• Collaborate with teams for integrated AI solutions.

Skills

Hands-on experience developing and deploying machine learning models

Building and implementing LLM-based solutions

Strong programming skills in Python

Statistical modeling and predictive analytics

Experience with deep learning frameworks

Prompt engineering and LLM fine-tuning techniques

Machine learning algorithms knowledge

Analytical and problem-solving mindset

Education

Advanced degree in Computer Science, Data Science or related field

Tools

Databricks

Azure Machine Learning

Snowflake

TensorFlow

PyTorch

Job description

At EY were all in to shape your future with confidence.

Well 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 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 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

• 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
• Storytelling 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 (Masters 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:
• Databricks Certified Machine Learning Professional
• Azure AI Engineer Associate or Data Scientist Associate
• SnowPro Advanced: Data Scientist
• AWS Certified Machine Learning - Specialty
• 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

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.

Required Experience :

Senior IC

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type: Full Time

Experience: years

Vacancy: 1