ml engineer for retail and e-commerce

Charlotte Tilbury Beauty is a global beauty brand founded in 2013 by makeup artist and entrepreneur Charlotte Tilbury. The company creates beauty products and operates across more than 50 markets.

• Design and implement agentic systems using RAG, grounding, prompt engineering, and orchestration on a GCP-first stack
• Build and maintain production ML pipelines and services for non-GenAI use cases, including recommender systems, customer segmentation, and marketing optimisation
• Develop secure, scalable, and observable APIs and microservices for AI/ML solutions
• Implement CI/CD for ML services, write infrastructure as code, and monitor model and data drift and performance
• Establish guardrails for safe AI use, including prompt security, evaluation frameworks, and privacy compliance
• Contribute reusable components, documentation, and engineering best practices
• Collaborate with data engineers, data scientists, front-end and back-end engineers, and product managers
• Evaluate AI technologies, frameworks, and tooling, and recommend improvements

• Strong Python engineering skills, including FastAPI, testing, and typing
• Experience with cloud-native development; GCP is preferred
• Hands-on experience with GCP Vertex AI or equivalent cloud-native AI/ML platforms, and agent orchestration frameworks
• Solid understanding of MLOps, including CI/CD, IaC, Terraform, experiment tracking, model registries, and monitoring
• Proven experience deploying and operating batch and real-time ML systems in production
• Familiarity with RAG architectures, prompt engineering, guardrails, and evaluation techniques
• Experience developing agentic capabilities, such as agent skills, MCP servers, and tool usage
• Strong understanding of security, privacy, and governance principles, including IAM, secrets, and PII handling
• Effective communication skills and ability to work with technical and non-technical stakeholders
• Interest in evaluating AI technologies and contributing to build, buy, or configure decisions
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or demonstrable relevant experience
• Будет плюсом: knowledge of vector databases and retrieval strategies, experience with recommender systems and ranking models, familiarity with LLM evaluation tools, understanding of cloud networking and platform infrastructure, experience in e-commerce or retail

• 25 Days of holiday plus bank holidays, with an additional day for your birthday
• Inclusive parental leave policy for parents and carers
• Pension and life assurance
• Wellness and social benefits, including Medicash, Employee Assist Programs, and regular social events with colleagues
• Dog-friendly days and spaces
• Product discount and gifting