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.
