Head of Engineering - Permanent
A fast‑growing technology company is seeking a Head of Engineering with deep experience building and scaling complex, data‑driven platforms. This role requires someone who can lead multi‑disciplinary teams, improve engineering execution, and drive technical excellence across high‑scale distributed systems and machine‑learning environments.
Required Experience
- Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and DevOps.
- Proven track record designing, scaling, and maintaining distributed systems and high‑volume data pipelines.
- Strong background in cloud‑native architectures and modern data stacks such as Spark or Databricks.
- Experience working closely with Data Science teams, including delivering production‑grade ML models and pipelines.
- Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide cross‑functional technical decisions.
- Robust DevOps knowledge, including CI/CD pipelines, container orchestration, monitoring, reliability engineering, and cloud infrastructure management (AWS preferred).
- Demonstrated ability to balance delivery speed with long‑term technical quality, reliability, and maintainability.
- Experience hiring, mentoring, and developing engineering leaders and high‑performing teams.
Role Overview
You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine‑learning capabilities at scale. The engineering organisation already uses AI‑assisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for long‑term growth.
Responsibilities
- Lead the engineering roadmap and technical execution across all product and platform teams.
- Guide architectural decisions in data engineering, ML, and web application development.
- Implement engineering KPIs to improve delivery speed, quality, and reliability.
- Develop a strong engineering culture centred on ownership, collaboration, and high performance.
- Partner with Product, Data Science, and DevOps to deliver high‑quality, scalable solutions.
- Manage engineering budgets, tooling, and cloud infrastructure costs.
Preferred
- Experience in search, advertising technology, or competitive intelligence.
- Familiarity with ML lifecycle tooling and agentic coding approaches.
Please send me a copy of your CV if you meet all of the above.
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