loveholidays Logo

loveholidays

Applied AI Engineer

Posted One Month Ago
Hybrid
London, Greater London, England, GBR
Entry level
Hybrid
London, Greater London, England, GBR
Entry level
Build and operate applied and agentic AI workflows, SaaS platforms, integrations, and automation pipelines. Administer configurations, access, environments, and lifecycle management while monitoring service health, cost, usage, and performance. Partner with engineering, security, vendors, and business teams to implement secure integrations and automations. Conduct testing, evaluation, incident triage, documentation, governance, and continuous reliability improvements.
The summary above was generated by AI

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 and level yourself up

  • Discounted holidays for you, your family and friends

  • 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum

  • Ability to buy and sell annual leave

  • Cycle to work scheme, season ticket loan and eye care vouchers

Our commitment to inclusion:

At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.

As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

 
 

HQ

loveholidays Fulham, England Office

Fulham, United Kingdom

loveholidays London, England Office

3 Shortlands, West Kensington, London, United Kingdom, W6 8DA

Similar Jobs

3 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
Leads strategic customer engagements by discovering operational challenges, architecting secure AI and agentic solutions, and delivering high-stakes Proof-of-Value projects. Builds LLM systems using RAG, tools, and guardrails; integrates them with enterprise data, identity, and compliance frameworks. Presents AI transformation narratives and ROI to executives, drives implementation, adoption, and value realization, develops reusable methodologies, and mentors junior colleagues.
Top Skills: Ai AgentsAws BedrockAzure AiCelonis PlatformEnterprise Cloud ArchitectureFunction CallingGoogle Cloud Vertex AiHugging FaceIamLlmsPrompt EngineeringPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnSQLTensorFlowXgboost
17 Days Ago
Hybrid
London, Greater London, England, GBR
Junior
Junior
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
Develop and prototype domain-specific AI solutions for strategic enterprise customers. Lead technical discovery, proof-of-value projects, and secure scalable LLM or agent systems using RAG, tools, and guardrails. Integrate solutions with enterprise data and compliance frameworks, present business impact to executives, support presales and value realization, and contribute reusable AI methodologies. The role requires software and data engineering, production ML/LLMOps, AI architecture, business process expertise, and strong executive communication.
Top Skills: APIsAws BedrockAzure AiCelonis PlatformCloud ArchitecturesData GovernanceEnterprise AiFunction CallingGcp Vertex AiHugging Face TransformersIdentity And Access ManagementLlm OrchestrationLlmopsLlmsMlopsPrivacy And ComplianceProcess MiningPrompt EngineeringPythonPyTorchRagScikit-LearnSQLTensorFlowXgboost
2 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Build and own AI-native research capabilities for quantitative investment teams. Responsibilities include developing agents and agentic workflows, knowledge bases and retrieval systems, AI evaluations and benchmarks, and production platforms. The role collaborates closely with quantitative researchers and traders, prototypes emerging applied AI techniques, and converts successful experiments into reliable technology.
Top Skills: Agentic AiClaude CodeCodexKubernetesLarge Language Models (Llms)LinuxPythonPython Numerical StackRayReinforcement LearningRetrieval SystemsRlhfSpark

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account