Head of Platform Engineering (AI and Synthetic Data) London (Hybrid) £120,000 to £150,000 bonus benefits This is a unique opportunity to lead the build and scale of a next generation AI platform focused on synthetic data and large language models. You will shape the engineering direction, influence how machine learning systems are deployed at scale, and play a key role in defining how modern data products are delivered across a global organisation. The Company They are a global organisation operating at the intersection of data, technology, and insights. With a strong investment in AI and advanced analytics, they are developing innovative capabilities that combine machine learning, privacy, and research methodologies. Their work is grounded in scientific rigour and real-world impact, supported by collaborations with leading academic institutions. The culture is collaborative and cross-disciplinary, bringing together engineering, data science, and research expertise. The Role You will lead the engineering function for a synthetic data platform, setting technical direction and building a high-performing, scalable team. Define and own the platform architecture for a cloud-native AI and ML environment Lead, mentor, and grow a team spanning software engineering, data engineering, and MLOps Establish best practices across software development, CI CD, and platform reliability Standardise ML workflows across data, training, evaluation, and deployment Build a secure, reliable, and auditable platform for synthetic data generation Enable self-serve capabilities through APIs, tooling, and clear documentation Embed privacy by design and governance controls aligned to sensitive data use Partner closely with data scientists, product, and research teams to productionise models Drive cost-efficient cloud usage and optimise performance of GPU-heavy workloads Your Skills and Experience Proven leadership experience managing and scaling cross-functional engineering teams Strong background in designing distributed, asynchronous, and high-availability systems Expertise in cloud platforms such as GCP and container orchestration with Kubernetes Experience building or leading ML platforms, pipelines, or MLOps environments Familiarity with modern AI systems including LLMs, vector databases, or deep learning frameworks Strong understanding of data privacy, security, and governance within enterprise environments Ability to bridge technical and non-technical stakeholders and influence at senior levels Hands-on technical background with the ability to guide architectural decisions What They Offer Competitive salary with performance-based bonus Hybrid working model with flexibility in team collaboration Opportunity to shape a high-impact AI platform from an early stage Clear progression as the team grows and the platform scales Access to a collaborative and forward-thinking engineering environment How to Apply If you are interested in leading a platform at the forefront of AI and synthetic data, please apply with your CV.
Locations
City of LondonLondon
