Head of Engineering

This is a rare opportunity to lead the engineering build of a cutting-edge synthetic data platform at the forefront of GenAI. You will shape how advanced machine learning and synthetic data solutions are delivered at scale, with a direct impact on business-critical decision making. The role offers a unique blend of leadership, technical ownership, and innovation in a fast-evolving space.

The Role

• Define and deliver the engineering strategy and architecture for a large-scale synthetic data and GenAI platform
• Build, lead, and develop a multidisciplinary team across software engineering, data engineering, and MLOps
• Design and scale distributed, cloud-native systems to support high-volume, asynchronous AI workloads
• Establish best practices across the full software development lifecycle to ensure reliability and quality
• Enable internal self-service through robust APIs, tooling, and clear documentation
• Embed security, privacy, and governance into all aspects of platform design
• Partner closely with data science, research, and product teams to operationalise advanced models
• Drive performance optimisation, cloud cost efficiency, and platform scalability
• Act as a technical leader, raising engineering standards across the wider organisation

Your Skills and Experience

• Strong commercial experience leading and scaling cross-functional engineering teams
• Proven expertise in architecting distributed systems in cloud-native environments, ideally GCP
• Deep understanding of machine learning platforms, MLOps pipelines, and model deployment
• Hands‑on experience with Kubernetes and containerised infrastructure
• Familiarity with modern AI systems, including large language models and data-intensive workloads
• Solid understanding of data governance, privacy, and secure system design
• Ability to translate complex research and data science concepts into production-ready systems
• Strong stakeholder management skills with the ability to align technical and business goals

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