About Charlotte Tilbury Beauty

Founded in 2013 by world‑renowned makeup artist and beauty entrepreneur Charlotte Tilbury CBE, Charlotte Tilbury Beauty has transformed the global beauty industry with one mission to empower everyone, everywhere to look and feel like the most confident version of themselves. With our easy‑to‑use, easy‑to‑choose, easy‑to‑gift icons, we’ve become one of the most talked‑about beauty brands on the planet - and the magic is only growing.

Today, we’re a global beauty phenomenon, scaling at record speed across 50+ markets with over 3,000 Dream Team members bringing the Tilbury magic to life every single day. Across the world, our Retail Teams and Magic Offices work hand‑in‑hand to shape the Charlotte Tilbury experience - from the glamour of London and the style capitals of Europe, to the energy of the Americas, the vibrant beauty hubs of the Middle East and the fast‑growing innovation centres across APAC. Every region brings its own sparkle, culture and community, creating the unmistakable magic of Team Tilbury.

We’re bold. We’re disruptive. We’re powered by creativity, innovation and industry‑leading tech. And as we continue to break records across countries, channels and categories, we’re looking for extraordinary talent to join us.

About the role

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more.

We're looking for an AI & ML Engineer who is passionate about building production-ready AI and machine learning solutions. You'll work across a variety of AI initiatives, contributing to the design, implementation and deployment of scalable AI systems.

You will be expected to deliver high-quality AI/ML solutions across the full development lifecycle, from proof of concept through to production and ongoing optimisation. Working closely with other engineers and stakeholders across the business, you'll contribute to building reusable platforms, services and best practices while continuously developing your technical expertise.

This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross-functional projects alongside colleagues from Technology, Data and Product.

As a AI & ML Engineer you will

The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include

Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.
Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).
Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.
Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.
Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.
Contributing to reusable components, documentation and engineering best practices that improve AI/ML delivery across the organisation.
Collaborating with data engineers, data scientists, front & back-end engineers, product managers to deliver impactful solutions.
Supporting the evaluation of new AI technologies, frameworks and tooling, contributing ideas and recommendations for continuous improvement.

Who you will work with

Reporting to the Lead AI & ML Engineer + Data and AI Team

About you

The role requires a blend of technical depth and product sense, including

Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).
Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK).
Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.
Proven experience deploying and operating ML systems in production (batch and real-time).
Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques.
Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage.
Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).
Effective communication skills and ability to work with both technical and non-technical stakeholders.
An interest in evaluating new AI technologies and contributing to technical discussions around build, buy or configure decisions.
Bachelor’s or Master’s degree in Computer Science/Engineering/related field, or demonstrable relevant experience.

In addition to the above, we would LOVE if you have

Knowledge of vector databases and retrieval strategies.
Experience with recommender systems and ranking models.
Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).
A working understanding of cloud networking and platform infrastructure.
Experience in e-commerce or retail environments.

Charlotte Tilbury is a fast‑paced, dynamic and ever‑evolving environment where agility, ambition and a passion for excellence help our teams thrive. We look for people who want to grow, innovate and be part of a truly global #DreamTeam.

While we outline the experience and skills we believe set candidates up for success, they’re a guide - not a barrier. If you can demonstrate the capabilities needed for the role, we’d love to hear from you, whether you have more or less experience than listed.