Hybrid AI/ML Engineer - GCP, RAG & MLOps

Hybrid AI/ML Engineer - GCP, RAG & MLOps

Full-Time On-site
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At a Glance

  • Tasks: Design AI systems and build scalable ML pipelines for a global beauty brand.
  • Company: Join Charlotte Tilbury Beauty, a leader in the beauty industry.
  • Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
  • Other info: Collaborate with diverse teams and advance your career in a dynamic environment.
  • Why this job: Make a real impact in AI while working with creative minds in beauty.
  • Qualifications: Strong Python skills and experience with GCP Vertex AI and MLOps.

Charlotte Tilbury Beauty is hiring an AI & ML Engineer to advance production-ready AI across the business. You will design agentic systems, build scalable ML pipelines and APIs, and collaborate with data scientists and engineers to deliver measurable impact.

The role emphasizes strong Python skills, GCP Vertex AI, and MLOps practices, with a hybrid work model and opportunities across cross-functional teams in a global beauty brand.

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Hybrid AI/ML Engineer - GCP, RAG & MLOps employer: Charlotte Tilbury Beauty

Charlotte Tilbury Beauty is an exceptional employer that champions innovation and creativity within the beauty industry. With a hybrid work model, generous benefits, and a strong commitment to diversity and inclusion, employees are empowered to thrive both personally and professionally. The company fosters a collaborative environment where legal professionals can grow their expertise while contributing to exciting digital and tech initiatives.

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Contact Details:

Charlotte Tilbury Beauty Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid AI/ML Engineer - GCP, RAG & MLOps

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Charlotte Tilbury Beauty!

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Charlotte Tilbury Beauty.

✨Apply Directly through Our Website

When you find a suitable opening like Hybrid AI/ML Engineer - GCP, RAG & MLOps at Charlotte Tilbury Beauty, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid AI/ML Engineer - GCP, RAG & MLOps

Python
GCP Vertex AI
MLOps
Machine Learning
API Development
Scalable ML Pipelines
Collaboration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Charlotte Tilbury Beauty, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Charlotte Tilbury Beauty. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Charlotte Tilbury Beauty

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.