About the role

Lead AI & ML Engineer at Charlotte Tilbury Beauty, responsible for AI strategy and solutions development. Guide a team, ensuring robust ML applications and innovation.

Responsibilities

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.
Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance

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.
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.
Proven experience operating as a player-coach, hands-on engineering manager who both builds and leads.
Demonstrable ability to weigh up build/buy/configure decisions in the LLM space.
Bachelor’s or Master’s degree in Computer Science/Engineering/related field, or demonstrable relevant experience.

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
Generous product discount and gifting!