Ai & Ml Engineer in England

Ai & Ml Engineer in England

England Full-Time 72000 - 88000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement innovative AI solutions while collaborating with a dynamic team.
  • Company: Join the global beauty phenomenon, Charlotte Tilbury Beauty, known for creativity and innovation.
  • Benefits: Enjoy flexible working, 25 days holiday, wellness perks, and a generous product discount.
  • Other info: Be part of a diverse team that values growth, innovation, and excellence.
  • Why this job: Make a real impact in the beauty industry using cutting-edge AI and ML technologies.
  • Qualifications: Strong Python skills and experience with cloud-native AI/ML platforms required.

The predicted salary is between 72000 - 88000 £ per year.

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-Gen AI 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-Gen AI 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 (Fast API, 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 Sage Maker, Azure ML) and agent orchestration frameworks (e. g.

Lang Chain, Lang Graph, ADK).

  • Solid understanding of MLOps - CI/CD, Ia C (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, Tru Lens, Lang Smith, 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 #Dream Team.

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.

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

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Ai & Ml Engineer in England employer: Charlotte Tilbury

Charlotte Tilbury Beauty is an exceptional employer that champions creativity and innovation in a dynamic, fast-paced environment. With a strong commitment to employee growth, the company offers flexible working arrangements, generous holiday allowances, and a supportive culture that values diversity and inclusion. Employees enjoy unique perks such as a dog-friendly workplace, wellness benefits, and a significant product discount, making it a truly rewarding place to build a career in the beauty industry.

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Contact Details:

Charlotte Tilbury Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ai & Ml Engineer in England

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Charlotte Tilbury or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Charlotte Tilbury.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Charlotte Tilbury.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Charlotte Tilbury that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Ai & Ml Engineer in England

Python Engineering
FastAPI
Cloud-Native Development
GCP Vertex AI
MLOps
CI/CD
Infrastructure as Code (IaC)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Charlotte Tilbury.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Charlotte Tilbury and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Charlotte Tilbury

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Charlotte Tilbury uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.