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For Companies At a Glance
- Tasks: Design and build AI-driven solutions to enhance customer experiences.
- Company: Leading online fashion retailer with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team making a positive impact for millions of users.
- Qualifications: Experience in AI engineering, especially with generative AI and tools like Python.
- Other info: Exciting projects in a fast-paced environment with great career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading online fashion retailer is seeking a Senior AI Engineer to design and build AI-driven solutions that enhance customer experiences. The role involves developing AI systems using LLMs, optimising data workflows, and implementing MLOps practices.
The ideal candidate will have professional experience in AI engineering, particularly with generative AI, and proficiency in tools like Python, PyTorch, and cloud environments.
Come join a dynamic team that aims to make a positive impact across millions of users.
Senior AI Engineer: Generative AI & Scalable LLMs in London employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Generative AI & Scalable LLMs in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving generative AI and LLMs. This is your chance to demonstrate your expertise in Python and PyTorch, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on MLOps practices. Be ready to discuss how you've optimised data workflows in past roles. We want to see your problem-solving skills in action, so think of examples that highlight your experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer: Generative AI & Scalable LLMs in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with generative AI and LLMs. We want to see how your skills in Python, PyTorch, and cloud environments can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to enhancing customer experiences.
Showcase Your MLOps Knowledge: Since MLOps practices are key for this role, don’t forget to mention any relevant experience you have. We love seeing how you optimise data workflows and implement best practices!
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’re considered for this exciting opportunity!
How to prepare for a job interview at ASOS.com
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and scalable LLMs. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but also have practical experience.
✨Show Off Your Coding Skills
Since proficiency in Python and PyTorch is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures can really help here.
✨Talk MLOps
Familiarise yourself with MLOps practices as they are crucial for optimising data workflows. Be ready to discuss how you’ve implemented MLOps in past projects, including any tools or frameworks you used. This will highlight your ability to integrate AI solutions into production environments.
✨Cultural Fit Matters
This company values a dynamic team environment, so don’t forget to showcase your teamwork and communication skills. Prepare examples of how you’ve collaborated with others in previous roles, and express your enthusiasm for making a positive impact on customer experiences.
