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hybrid senior full-time London

First indexed 9 Jul 2026

Description

Charlotte Tilbury Beauty is looking for an AI & ML Engineer to join their Data team. The successful candidate will work on building production-ready AI and machine learning solutions, contributing to the design, implementation, and deployment of scalable AI systems.

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring machine learning solutions are robust, scalable, and cost-efficient. The team's remit spans AI enablement, agentic systems development, and conventional ML engineering for non-GenAI applications.

Responsibilities include:

  • Designing and implementing agentic systems using techniques such as RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.
  • Building and maintaining production ML pipelines and services for non-GenAI use cases.
  • 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.

Requirements:

  • Strong Python engineering skills and experience with cloud-native development (GCP preferred).
  • Hands-on experience with GCP Vertex AI or equivalent cloud-native AI/ML platforms.
  • Solid understanding of MLOps, including CI/CD, IaC, experiment tracking, model registry, and monitoring.
  • Proven experience deploying and operating ML systems in production.

Benefits:

  • 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday.
  • Inclusive parental leave policy.
  • Financial security and planning with pension and life assurance.
  • Wellness and social benefits, including Medicash, Employee Assist Programs, and regular social connects with colleagues.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://apply.workable.com/j/5BF1335E1D