Salary: £80,000 - 150,000 per year Requirements: 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. 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. Technologies: AI AWS Backend CI/CD Cloud Databricks DevOps Frontend React Spark TypeScript Web CTO More: We are a fast-growing technology company seeking a Head of Engineering who has deep experience in building and scaling complex, data-driven platforms. This remote role involves leading multi-disciplinary teams, improving engineering execution, and driving technical excellence across high-scale distributed systems and machine-learning environments. You will own the engineering execution for a platform that processes large datasets and integrates machine-learning capabilities at scale, refining AI-assisted development practices and strengthening our technical foundation for long-term growth. last updated 5 week of 2026