We are seeking a high-calibre Senior Machine Learning Engineer to join a leading consulting practice. This role is focused on moving beyond AI experimentation to delivering production-ready, scalable architectures that provide genuine ROI for Tier 1 global clients.

The ideal candidate will combine technical mastery with the ability to manage high-level stakeholders and navigate complex business strategies.

Key Responsibilities

AI Transformation: Deliver complex AI transformations for global clients, ensuring all technical solutions align with overarching business strategies and financial objectives.
Technical Leadership: Direct the development of sophisticated deep learning architectures, focusing on model optimisation and error reduction for real-time applications.
Infrastructure & Deployment: Architect and deploy machine learning models as microservices within AWS and Azure environments.
Pipeline Automation: Implement and manage automated ETL pipelines to ensure seamless data flow and model reliability.
Mentorship & Diversity: Act as a technical mentor for junior engineers and contribute to internal diversity initiatives to support the growth of women in STEM.

Requirements

PhD or MSc in Machine Learning or similar
Proven track record within a Big 4 or top-tier consulting environment.
Expertise in AWS, Azure, and Microservices architecture.
Deep understanding of deep learning architectures and real-time model deployment.
Strong stakeholder management skills with the ability to communicate technical concepts to non-technical business leaders.

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