AI & ML Engineer

📋 Job Overview

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.

🏢 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.

🎯 The Role

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.

✅ Key Responsibilities

• 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).
• 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 Benefits

• Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves
• We’re a hybrid model with flexibility, allowing you to work how best suits you
• 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday
• Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey
• Financial security and planning with our pension and life assurance for all
• Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues
• Bring your furry friend to work with you on our allocated dog friendly days and spaces
• And not to forget our generous product discount and gifting!

🛂 Visa & Eligibility

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.