Director - AI/ML Engineering

Your new role
The primary purpose of this role is to act as a senior technical expert and trusted advisor in AI/ML engineering, leading the design and delivery of AI-powered products and agentic systems that enhance organisational capability. As a key member of the AI Centre of Excellence (CoE), the post holder will help define and embed enterprise-wide standards for AI/ML engineering, promoting consistency, quality, and best practice across the organisation.

This is a hands-on, Director-level individual contributor role, combining deep technical expertise with cross-functional leadership and strategic influence. The post holder will focus on delivering high-impact AI/ML solutions, working closely with IT and platform teams to ensure scalable infrastructure, robust production deployment, and long-term operational success.

What you'll need to succeed

• Extensive hands-on experience in AI/ML engineering with a track record of delivering production-grade AI products.
• Expert Python engineering skills and deep experience with ML frameworks such as PyTorch and/or TensorFlow.
• Proven experience building and deploying LLM-based applications using providers such as OpenAI, Anthropic, and open-source models via AWS Bedrock or direct APIs.
• Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, and Strands.
• Strong experience with ML lifecycle platforms such as AWS SageMaker and MLflow.
• Experience building CI/CD pipelines for ML/AI systems using GitLab CI/CD, Docker, and Kubernetes.
• Strong grounding in statistics, machine learning theory, and signal processing.
• Experience with cloud environments (AWS preferred) and distributed compute or training environments (e.g., Slurm).

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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