Associate Director, AI and Machine Learning

Hands‑on AI Delivery* Lead the end‑to‑end design, development, and deployment of AI/ML solutions across multiple business domains.
* Convert complex business challenges into clear, high‑impact AI use cases with measurable outcomes.
* Own the full AI/ML lifecycle-from problem definition and data strategy to modelling, deployment, and ongoing monitoring.
* Apply a wide range of methods including ML, data science, optimisation, and GenAI where they deliver meaningful value.
* Upgrade and modernise existing AI systems to improve performance, scalability, and long‑term maintainability.
* Make practical technical decisions that balance rapid delivery with quality and sustainability.
* Lead selected GenAI and LLM‑driven initiatives such as RAG, agentic workflows, and AI‑augmented decisioning.
* Work closely with platform and governance teams to ensure GenAI solutions are secure, responsible, and production‑ready.
* Continuously scan emerging AI trends and assess their relevance to the organisation.

People Leadership* Lead and coach a team of 6-10 seasoned data scientists.
* Provide strong technical guidance, mentorship, and constructive challenge.
* Build a team culture grounded in engineering excellence, business impact, and continuous learning.
* Support hiring, talent development, and performance growth.

Stakeholder & Partner Engagement* Collaborate with business stakeholders to shape AI roadmaps and prioritise high‑value opportunities.
* Work with key partners across the AI ecosystem, including major cloud, model, and hardware providers.
* Represent the organisation at industry events and partner engagements to strengthen external visibility and thought leadership.