Head of Engineering - Permanent
Location: Remote
Reports to: CTO
A fastâgrowing technology company is seeking a Head of Engineering with deep experience building and scaling complex, dataâdriven platforms. This role requires someone who can lead multiâdisciplinary teams, improve engineering execution, and drive technical excellence across highâscale distributed systems and machineâlearning 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 highâvolume data pipelines.
* Strong background in cloudânative architectures and modern data stacks such as Spark or Databricks.
* Experience working closely with Data Science teams, including delivering productionâgrade ML models and pipelines.
* Solid understanding of modern frontend engineering practices (e.g., TypeScript, React) to guide crossâfunctional 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 longâterm technical quality, reliability, and maintainability.
* Experience hiring, mentoring, and developing engineering leaders and highâperforming teams.
Role Overview
You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machineâlearning capabilities at scale. The engineering organisation already uses AIâassisted development, and you will refine these practices, improve delivery predictability, and strengthen the technical foundation for longâterm 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 highâquality, 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 of you meet all of the above
