Director of Artificial Intelligence

Your key responsibilities

• Proven ability to design, build, and deploy end-to-end AI / ML systems in production.
• Expertise in data science, including statistical analysis, experimentation, and data storytelling.
• Experienced in working with large-scale, real-world datasets for model training and analysis.
• Comfortable navigating urgency, ambiguity, and fast-changing priorities. Skilled at solving complex ML problems independently, from idea to implementation.
• Strong leadership experience building and guiding high-performing AI teams. Hands-on with deep learning, NLP, LLMs, and classical ML techniques. Fluent in model experimentation, tuning, optimisation, and evaluation at scale.
• Solid software engineering background and comfort working with data and full-stack teams.
• Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines.
• Bias for action — willing to jump into code, data, or ops to ship impactful AI products.

Your skills and experience