> Markdown version of [/jobs/ext/3521231-head-of-data-engineering-machine-learning](https://www.wearedevelopers.com/jobs/ext/3521231-head-of-data-engineering-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data Engineering & Machine Learning - **Company:** Retelligence - **Location:** London, UK - **Experience:** Expert - **Salary:** £64,000.0 - £104,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Information Engineering, Machine Learning, Working Model 2D, Data Management, Machine Learning Operations - **Published:** September 30, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5896691709 ## About the Role * Demonstrated track record of building and managing high-performing engineering teams in data engineering, platform, or machine learning spaces. * Hands-on experience shipping enterprise-grade data platforms and machine learning solutions that deliver tangible commercial outcomes. * Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary. * Exceptional ability to translate complex technical concepts into clear, value-driven narratives for C-suite and non-technical stakeholders. * Comfortable engaging on business drivers such as growth, monetization, and competitive differentiation. * Thrives in dynamic, fast-paced environments where collaboration and adaptable execution are paramount. ## Description * Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth. * Define and execute the long-term vision for enterprise data infrastructure and machine learning systems to ensure long-term scalability. * Own technical execution timelines, balancing speed-to-market with architectural rigor through smart technical trade-offs. * Collaborate with Product, Commercial, and Go-To-Market leads to align engineering milestones with top-line business growth and revenue drivers. * Champion AI-assisted development practices across the team while remaining close enough to the code to guide technical decision-making., We are a fast-scaling, high-growth technology platform based in London, UK, offering a hybrid working model and a full-time Director / Executive Lead opportunity. We are looking for an experienced Head of Data Engineering & Machine Learning to own our technical vision, data architecture, and model estate. In this high-impact executive role, you will work at the intersection of deep technical execution and commercial strategy, leading a talented engineering team while partnering directly with executive leadership to help turn business ambition into scalable, AI-driven products. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [The Neuro-Architecture of Productivity: How Work Environments Impact Cognitive Performance](https://www.wearedevelopers.com/videos/1122-the-neuro-architecture-of-productivity-how-work-environments-impact-cognitive-performance) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)