At a Glance
- Tasks: Lead a team to innovate AI solutions and enhance machine learning applications.
- Company: Join the dynamic Charlotte Tilbury Beauty, a global leader in the beauty industry.
- Benefits: Enjoy flexible working, 25 days holiday, wellness perks, and a generous product discount.
- Why this job: Be part of a magical journey empowering everyone to be their best selves.
- Qualifications: Strong Python skills and experience with cloud-native AI/ML platforms required.
- Other info: Collaborate with diverse teams and enjoy a vibrant workplace culture.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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 â 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 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 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 e.g. recommender systems, forecasting models, and more.
The Lead AI & ML Engineer leads this team. We are looking for an individual who can own the standard & delivery of AI/ML across Charlotte Tilbury and contribute to the development & delivery of the companyâs AI strategy.
You will manage & coach a team of AI engineers, and play a pivotal role in AI enablement across the company educating and advising teams across the business on safe, scalable and impactful adoption of AI. You will be expected to balance handsâon technical leadership with programmeâlevel enablement, ensuring we are using existing tools pragmatically, investing in new ones where needed, and building prototypes through to productionâready systems where needed.
As Lead AI & ML Engineer you will be responsible for 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 & backâend engineers, product managers, legal & infosec colleagues to deliver impactful solutions endâtoâend.
- Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance.
Who you will work with: This role reports directly to the Director of AI & Data, and collaborates closely with the wider Data team Data Science, Core Data Engineering, Analytics, Customer Insight and the wider organisation particularly Technology, Legal, and Information Security to onboard/develop & scale AI applications.
About you: Strong Python engineering skills FastAPI, testing, typing and experience with cloudânative development GCP preferred. Handsâon experience with GCP Vertex AI model endpoints, pipelines, embeddings, vector search or equivalent cloudânative 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. Excellent communication skills and ability to work with nonâtechnical stakeholders. Proven experience operating as a playerâcoach, handsâon engineering manager who both builds and leads. Demonstrable ability to weigh up build/buy/configure decisions in the LLM space. Bachelorâs or Masterâs 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.
- Experience in eâcommerce 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. Weâre 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!
Lead AI & ML Engineer in London employer: Charlotte Tilbury Beauty Ltd
Contact Detail:
Charlotte Tilbury Beauty Ltd Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead AI & ML Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to people in the beauty and tech industries, especially those connected to Charlotte Tilbury. A friendly chat can open doors and give you insights that might just land you an interview.
â¨Tip Number 2
Show off your skills! If youâve got a portfolio or projects that highlight your AI and ML expertise, make sure to share them during interviews. Itâs a great way to demonstrate your hands-on experience and creativity.
â¨Tip Number 3
Prepare for the technical grill! Brush up on your Python and GCP knowledge, and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so practice explaining your thought process.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in being part of the Charlotte Tilbury magic!
We think you need these skills to ace Lead AI & ML Engineer in London
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI & ML Engineer role. Highlight your relevant experience and skills that align with the job description, especially in AI/ML engineering and team leadership.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in AI and ML. Whether it's building production ML pipelines or developing APIs, we want to see how you've made an impact in your previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and avoid jargon unless it's relevant to the role. We appreciate clarity!
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and helps us keep track of all applicants efficiently. Plus, itâs super easy!
How to prepare for a job interview at Charlotte Tilbury Beauty Ltd
â¨Know Your Tech Inside Out
As a Lead AI & ML Engineer, you'll need to showcase your strong Python skills and hands-on experience with GCP or equivalent platforms. Brush up on your knowledge of MLOps, CI/CD, and cloud-native development to impress the interviewers.
â¨Showcase Your Leadership Skills
This role involves managing a team, so be prepared to discuss your experience as a player-coach. Share examples of how you've mentored engineers and driven high performance while balancing hands-on technical work.
â¨Prepare for Problem-Solving Scenarios
Expect to tackle real-world problems during the interview. Think about how you would scope issues and identify solutions using existing AI tools or custom workflows. Be ready to demonstrate your critical thinking and innovative approach.
â¨Communicate Effectively with Non-Tech Stakeholders
You'll need to collaborate with various teams, so practice explaining complex concepts in simple terms. Highlight your excellent communication skills and provide examples of how you've successfully worked with non-technical stakeholders in the past.