Director - AI Enablement

The Role

An established global organisation is building a next-generation AI capability and is hiring a Director of AI Enablement to lead the infrastructure, tooling and engineering foundations that power large-scale model development. This is a rare opportunity to build and scale AI infrastructure from the ground up within a well-funded, long-term AI transformation programme.

You will lead the engineering backbone that enables AI scientists and ML engineers to:

• Deploy research into production
• Iterate faster through robust experiment tracking and model lifecycle tooling
• Access, harmonise and version complex multimodal datasets
• Scale securely and cost-effectively in cloud and hybrid environments

You will build and lead a high calibre team across AI infrastructure, MLOps and data engineering, while shaping best practice across ML engineering and platform operations. This is both strategic and hands on. You will influence AI strategy at leadership level while owning delivery of distributed training platforms, model registries, fine tuning tooling and scalable deployment frameworks.

What We're Looking For

• 5+ years leading ML infrastructure or AI platform engineering teams
• Deep experience in distributed training environments (PyTorch DDP, DeepSpeed, Ray or similar)
• Strong Python engineering foundations with production discipline
• Experience building cloud native ML platforms (AWS/Azure)
• Expertise across MLOps, model lifecycle management and AI governance
• Strong stakeholder skills in complex, cross functional environments
• Experience in scientific, research or computationally intensive environments is advantageous but not essential

Why This Role?

• Build AI infrastructure that directly accelerates real-world research
• Operate at the intersection of research and production
• Lead the scale up of a high impact AI function
• Shape long term AI capability within a global organisation
• This is a career defining leadership opportunity for someone who wants to enable cutting edge AI at scale

About the role

• Contract Type: Permanent
• Specialism: Technology & Digital
• Focus: Data Science & AI Research
• Industry: Pharmaceuticals
• Salary: £150,000 - £200,000 per annum + 25% Bonus
• Workplace Type: Hybrid
• Experience Level: Director
• Location: London
• Job Reference: KIAQA7-F925FDCF
• Date posted: 16 February 2026