UK remote
Lead Applied AI Engineer
About this role
Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path.
You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll lead the Applied AI team within the wider AI Centre of Excellence, setting technical direction and managing the engineers who build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues.
You’ll work closely with business verticals, engineering, security and senior stakeholders to turn business priorities into a clear roadmap and measurable outcomes. You’ll combine people management with hands-on technical leadership across applied and agentic AI workflows, SaaS services, integrations and data pipelines. You’ll guide architecture and delivery, develop the team’s capabilities and own relationships with third-party SaaS suppliers, ensuring our platforms are reliable, secure and deliver value for money.
The team sits within Business IT & AI Operations. You’ll provide the direction, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively, balancing new opportunities with service quality, cost and long-term maintainability. Your day-to-day: Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and coaching, supporting career development and managing performance.
Help recruit and onboard new team members as the team grows. Set the team’s technical direction and delivery roadmap with business and technology stakeholders, prioritising work, allocating capacity and managing dependencies to deliver measurable business outcomes. Provide hands-on technical leadership for applied and agentic AI workflows, integrations and automation pipelines, guiding architecture, reviewing designs and code, and contributing to complex or high-impact engineering work.