AI & ML Engineer in London

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen.

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products 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 like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications.

As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include:

• Partnering with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.
• 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.
• Driving and evangelizing best practices, reusable templates, and documentation to scale AI/ML delivery across the business.
• Collaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.

Who you will work with The AI & ML Engineer Lead and the wider data team.

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

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 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 ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph.
• 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, and evaluation techniques.
• Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).
• Excellent communication skills and ability to work with non-technical stakeholders.

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

• Experience with vector databases and retrieval strategies.
• Knowledge of recommender systems and ranking models.
• Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).
• Exposure to feature stores, data lineage, and observability stacks.
• Experience in e-commerce or retail environments.
• Demonstrable ability to weigh up build/build/configure decisions in the LLM space.

Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global #dreamteam are key. Even though we have requirements, our experience and background are just a guide, we still love to welcome applicants with more or less experience stated, provided necessary skills can be demonstrated.

Why join us? 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!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!