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- Tasks: Transform AI and LLM models into production-grade systems while collaborating with a talented team.
- Company: Leading trend forecasting company in Greater London with a focus on innovation.
- Benefits: Dynamic work environment, learning opportunities, and career development.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: Strong Python, AWS skills, and experience in deploying machine learning systems.
- Other info: Office-based role with a collaborative and supportive culture.
The predicted salary is between 36000 - 60000 £ per year.
A leading trend forecasting company in Greater London is seeking a proactive AI Engineer to join their Data team. In this office-based role, you will take AI and LLM models from prototype to production-grade systems, collaborating with data scientists and engineers. Strong experience with Python, AWS, and deploying machine learning systems is essential. The role offers a dynamic environment with opportunities for learning and development, ensuring models deliver high-quality performance in production.
London AI Engineer — Production LLM & MLOps employer: WGSN
Contact Detail:
WGSN Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land London AI Engineer — Production LLM & MLOps
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AWS. Having tangible examples of your work can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLMs and MLOps. Practice coding challenges and be ready to discuss your thought process. Confidence in your technical abilities can make a huge difference!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace London AI Engineer — Production LLM & MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and deploying machine learning systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Engineer position and how your background makes you a perfect fit for our Data team. Let us know what drives you!
Showcase Your Projects: If you've worked on any AI or LLM models, make sure to mention them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to take models from prototype to production.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at WGSN
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with AWS. Be prepared to explain how you've deployed machine learning systems in the past, as this will show your practical knowledge and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since you'll be working closely with data scientists and engineers, it's crucial to demonstrate your teamwork abilities. Think of examples where you've successfully collaborated on projects, and be ready to share how you contributed to achieving common goals.
✨Prepare for Technical Questions
Expect some technical questions related to AI and LLM models. Review key concepts and be ready to discuss how you would take a model from prototype to production. Practising coding challenges can also help you feel more confident during the interview.
✨Express Your Passion for Learning
This role offers opportunities for learning and development, so make sure to convey your enthusiasm for continuous improvement. Share any recent courses or projects you've undertaken to stay updated with the latest trends in AI and MLOps.
