Jobs / United Kingdom / loveholidays
Applied AI Engineer
loveholidays · 🇬🇧 London
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — loveholidays
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for loveholidays →
About the 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 sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes. The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively. Your day-to-day: • Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management. • Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. • Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. • Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues. • Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations. • Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices. Your skillset: • SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support. • Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable. • API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems. • Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices. The interview journey: • Intro with a member of the Talent Acquisition team - 30 mins • 1st stage video interview with Lead Applied AI Engineer - 1 hour • Applied AI and SaaS administration task • Final stage with Director of Applied AI and senior stakeholders - 1 hour Perks of joining us: • Company pension contributions at 5% • Individualised training budget for you to learn on the job a