Head of Data Engineering (AI)
Role details
Job location
Tech stack
Job description
- Own and execute the engineering roadmap
- Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
- Ensure systems can scale to handle massive datasets and evolving ML workloads
- Champion best practices around testing, observability, incident response, and documentation
- Set standards for AI-assisted development practices at scale
Requirements
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Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps
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Understanding how ML models are delivered, deployed, and maintained in production
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Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
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Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)
Benefits & conditions
Up to £130,000 + BENEFITS
Remote UK based
This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients., You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.