Retelligence
Head of Data Engineering & Machine Learning
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Head of Data Engineering & Machine Learning
Location: London, UK (Hybrid)
Seniority Level: Director / Executive Lead
Employment Type: Full-time
About the Opportunity
A fast-scaling, high-growth technology platform in London is looking for an experienced Head of Data Engineering & Machine Learning to drive the next evolution of their intelligent platform.
In this high-impact executive role, you will take full ownership of the technical vision, data architecture, and model estate. You’ll sit at the intersection of deep technical execution and commercial strategy, leading a talented group of engineers while partnering directly with executive leadership to convert business ambition into scalable, AI-driven products.
Key Responsibilities
- Leadership & Team Growth: Mentor, scale, and inspire a world-class team of data and ML engineers, instilling high standards for software execution, operational excellence, and continuous growth.
- Technical Strategy & Architecture: Define and execute the long-term vision for enterprise data infrastructure and machine learning systems to ensure long-term scalability.
- Strategic Roadmap Delivery: Own technical execution timelines, balancing speed-to-market with architectural rigor through smart technical trade-offs.
- Cross-Functional Partnership: Collaborate with Product, Commercial, and Go-To-Market leads to align engineering milestones with top-line business growth and revenue drivers.
- Hands-on Technical Bar: Champion AI-assisted development practices across the team while remaining close enough to the code to guide technical decision-making.
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What We Are Looking For
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- Proven Leadership: Demonstrated track record of building and managing high-performing engineering teams in data engineering, platform, or machine learning spaces.
- Track Record of Impact: Hands-on experience shipping enterprise-grade data platforms and machine learning solutions that deliver tangible commercial outcomes.
- Technical Credibility: Strong foundational depth in modern data architecture and ML deployment, with a passion for getting into the engineering details when necessary.
- Executive Communication: Exceptional ability to translate complex technical concepts into clear, value-driven narratives for C-suite and non-technical stakeholders.
- Commercial Acumen: Comfortable engaging on business drivers such as growth, monetization, and competitive differentiation.
- Agile Mindset: Thrives in dynamic, fast-paced environments where collaboration and adaptable execution are paramount.
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