At a Glance
- Tasks: Build innovative AI and ML solutions that make a real impact in the beauty industry.
- Company: Join Charlotte Tilbury Beauty, a global sensation in the beauty world.
- Benefits: Enjoy flexible working, 25 days holiday, wellness perks, and a generous product discount.
- Other info: Collaborate with diverse teams and contribute to exciting AI initiatives.
- Why this job: Be part of a dynamic team driving AI innovation in a fast-growing company.
- Qualifications: Strong Python skills and experience with cloud-native AI/ML platforms required.
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.
Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. 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.
Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech — all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions.
About the role
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 e.g. recommender systems, forecasting models, and more.
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. Working closely with other engineers and stakeholders across the business, you'll contribute to building reusable platforms, services and best practices while continuously developing your technical expertise.
This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross-functional projects alongside colleagues from Technology, Data and Product.
As a AI & ML Engineer you will
The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include
- 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.
- 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.
Who you will work with
- Data and AI Team
About you
The role requires a blend of technical depth and product sense, including
- 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, AzureML) 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 agentive 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.
In addition to the above, we would LOVE if you have
- 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.
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 fury 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.
AI & ML Engineer employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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