Charlotte Tilbury Logo

Charlotte Tilbury

AI & ML Engineer

Posted 22 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
Build and deploy production-ready AI/ML systems across the full lifecycle, including agentic systems (RAG, prompt engineering), non-GenAI models (recommenders, forecasting), APIs/microservices, CI/CD and IaC, monitoring and guardrails, and cross-functional collaboration to ensure scalable, secure, and observable ML solutions.
The summary above was generated by AI

About Charlotte Tilbury Beauty 

Founded in 2013 by world‑renowned makeup artist and beauty entrepreneur Charlotte Tilbury CBE, Charlotte Tilbury Beauty has transformed the global beauty industry with one mission: to empower everyone, everywhere to look and feel like the most confident version of themselves. With our easy‑to‑use, easy‑to‑choose, easy‑to‑gift icons, we’ve become one of the most talked‑about beauty brands on the planet - and the magic is only growing. 

Today, we’re a global beauty phenomenon, scaling at record speed across 50+ markets with over 3,000 Dream Team members bringing the Tilbury magic to life every single day. Across the world, our Retail Teams and Magic Offices work hand‑in‑hand to shape the Charlotte Tilbury experience - from the glamour of London and the style capitals of Europe, to the energy of the Americas, the vibrant beauty hubs of the Middle East and the fast‑growing innovation centres across APAC. Every region brings its own sparkle, culture and community, creating the unmistakable magic of Team Tilbury. 

We’re bold. We’re disruptive. We’re powered by creativity, innovation and industry‑leading tech. And as we continue to break records across countries, channels and categories, we’re looking for extraordinary talent to join us. 

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

  • Reporting to the Lead AI & ML Engineer + 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, Azure ML) 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 agentic 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. 

Charlotte Tilbury is a fast‑paced, dynamic and ever‑evolving environment where agility, ambition and a passion for excellence help our teams thrive. We look for people who want to grow, innovate and be part of a truly global #DreamTeam. 

While we outline the experience and skills we believe set candidates up for success, they’re a guide - not a barrier. If you can demonstrate the capabilities needed for the role, we’d love to hear from you, whether you have more or less experience than listed. 



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 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 everyone, everywhere, to feel like the most beautiful and confident version of themselves. We bring this to life by welcoming people from diverse backgrounds, cultures, identities, and perspectives into our global team. A workforce that reflects the world around us helps us better serve our communities, our customers, our colleagues, and every candidate who takes part in our recruitment process. 

  

If you need support or would like to apply through an alternative method, please contact us at [email protected] 


Want a closer look at life at Charlotte Tilbury Beauty? Follow our LinkedIn page! For updates, stories, and behind‑the‑scenes moments. 


HQ

Charlotte Tilbury London, England Office

Strand, Covent Garden, London, United Kingdom, WC2R 2ND

Similar Jobs

2 Days Ago
Hybrid
London, Greater London, England, GBR
Senior level
Senior level
Financial Services
Build secure, scalable AI/ML platforms and applications to productionize research. Collaborate with AI researchers and data scientists, implement CI/CD and IaC, support experimentation environments, automate remediation, mentor junior engineers, and promote secure, responsible AI development practices.
Top Skills: Ai-Assisted Development ToolsAutomationCi/CdGenerative AiInfrastructure As CodeJupyter NotebooksPrivate CloudPublic CloudPythonTerraformUnit Testing
6 Days Ago
Hybrid
Senior level
Senior level
Financial Services
Lead design, develop, and deliver cloud-based applications and services; integrate AI/ML models and LLM APIs; promote and operationalize AI-assisted engineering practices; ensure performance, scalability, security, and automation; mentor peers, conduct code reviews, and drive reuse and resiliency across the software development lifecycle.
Top Skills: Ai-Assisted Development ToolsAWSAzureBedrockCi/CdCloud-Native DatabasesDockerEvent-Driven ArchitecturesGenerative AiGoogle Cloud PlatformInfrastructure As CodeJavaKubernetesLlm ApisNoSQLOpenaiPrompt EngineeringPythonRestful ApisServerless ArchitecturesSQLTerraform
8 Days Ago
Hybrid
Senior level
Senior level
Financial Services
Lead design and implementation of cloud-based applications, integrate AI/ML models and LLMs, optimize for performance and security, automate remediation, conduct code reviews, drive DevOps/monitoring best practices, and lead engineering communities of practice.
Top Skills: Amazon BedrockAutomated TestingAWSAzureCi/CdCloud-Native DatabasesCloudwatchDatadogDevOpsDockerDynatraceElk StackEvent-Driven ArchitecturesFlywayGenerative AiGitGoogle Cloud PlatformGrafanaGroovyHibernate/JpaIcebergJavaJdbcJmsKubernetesNode.jsNoSQLOpenaiOraclePrometheusPrompt EngineeringPythonRdsRestful ApisServerless ArchitecturesSnowflakeSpringSpring BootSpring IntegrationSQLTerraform

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account