Head of Engineering

Head of Engineering - Permanent

Location:

Remote

Reports to:

CTO

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.

• Leadership of engineering organisations of 20 or more across multiple disciplines, including backend, web, data, ML, QA, and Dev Ops.
• 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., Type Script, React) to guide cross-functional technical decisions.
• Robust Dev Ops 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.

You will own engineering execution for a platform that processes large datasets, supports distributed computation, and integrates machine-learning capabilities  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.

• 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 Dev Ops to deliver high-quality, scalable solutions.
• Manage engineering budgets, tooling, and cloud infrastructure costs.

• 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.