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- Tasks: Build and scale AI solutions to enhance customer experiences in fashion.
- Company: Leading online fashion retailer in the UK with a focus on innovation.
- Benefits: Employee discount, personal development opportunities, and competitive benefits.
- Why this job: Join a dynamic team to shape the future of AI in fashion.
- Qualifications: Strong experience in Python, MLOps, and prompt engineering required.
- Other info: Collaborative environment with a commitment to ethical AI practices.
The predicted salary is between 60000 - 80000 £ per year.
A leading online fashion retailer in the United Kingdom seeks a Senior AI Engineer to build and scale AI-driven solutions for enhancing customer experiences. This role involves designing robust AI systems using LLMs and generative AI, collaborating closely with product teams, and ensuring ethical AI practices.
Candidates should have strong experience with Python, MLOps principles, and prompt engineering.
The position offers a range of employee benefits, including an employee discount and personal development opportunities.
Senior AI Engineer: Scalable LLMs & Ethical AI 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: Scalable LLMs & Ethical AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and generative AI. This is your chance to demonstrate your expertise in Python and MLOps principles, making it easier for hiring managers to see what you bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on ethical AI practices. Be ready to discuss how you can ensure these principles are integrated into your work. It’s a hot topic, and showing you’re on top of it will definitely impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior AI Engineer: Scalable LLMs & Ethical AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, MLOps, and prompt engineering in your application. We want to see how your skills align with the role of Senior AI Engineer and how you can contribute to our mission.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Ethical: Since ethical AI practices are key to this role, share any relevant experiences or projects that demonstrate your commitment to ethical considerations in AI. We appreciate candidates who think critically about the impact of their work.
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 from us during the hiring process.
How to prepare for a job interview at ASOS.com
✨Know Your AI Stuff
Make sure you brush up on your knowledge of scalable LLMs and generative AI. Be ready to discuss specific projects you've worked on, especially those involving Python and MLOps principles. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Ethical AI Practices
Since ethical AI is a key part of the role, prepare examples of how you've implemented ethical considerations in your previous work. Discuss any frameworks or guidelines you follow to ensure responsible AI development. This will demonstrate your commitment to creating AI solutions that are not only effective but also responsible.
✨Collaborate Like a Pro
This position involves working closely with product teams, so be ready to talk about your collaboration skills. Share experiences where you’ve successfully partnered with cross-functional teams to deliver AI-driven solutions. Highlight your communication skills and how you adapt your technical language for non-technical stakeholders.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s approach to AI and customer experience. Ask about their current projects, challenges they face, and how they envision the role evolving. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.