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- Tasks: Innovate and scale AI solutions to enhance customer experiences in fashion.
- Company: Leading online fashion retailer with a focus on ethical AI.
- Benefits: Employee discounts, robust medical care, and professional growth opportunities.
- Why this job: Join a dynamic team to shape the future of AI in fashion.
- Qualifications: Strong AI engineering background and proficiency in Python, PyTorch, and TensorFlow.
- Other info: Exciting role with opportunities for innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading online fashion retailer is looking for a Senior AI Engineer to innovate and scale AI-driven solutions for enhancing customer experiences. You will work with various teams to deliver ethical and high-performing AI systems, leveraging LLMs and generative AI.
Candidates must have a strong background in AI engineering, proficiency in Python, and hands-on experience with tools like PyTorch and TensorFlow.
The role offers exciting opportunities for professional growth and a range of employee benefits including discounts and a robust medical care scheme.
Senior AI Engineer: LLMs, MLOps & Responsible AI in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: LLMs, MLOps & Responsible AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MLOps. This will give you an edge and demonstrate your hands-on experience with tools like PyTorch and TensorFlow.
✨Tip Number 3
Prepare for interviews by brushing up on ethical AI practices and customer experience enhancement strategies. Be ready to discuss how you can contribute to building responsible AI systems that align with the company's values.
✨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: LLMs, MLOps & Responsible AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI engineering, especially your proficiency in Python and any hands-on work with tools like PyTorch and TensorFlow. We want to see how your skills can help us innovate and scale our AI-driven solutions!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with the role of Senior AI Engineer. We love seeing candidates who understand our mission and values.
Be Ethical and Responsible: Since we’re focused on delivering ethical AI systems, it’s important to mention any experience you have with responsible AI practices. Show us that you care about creating high-performing AI solutions that enhance customer experiences while being mindful of ethics.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at ASOS
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, MLOps, and responsible AI. Be ready to discuss specific projects you've worked on, especially those involving Python, PyTorch, or TensorFlow. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach scaling AI solutions or ensuring ethical practices in AI. Use examples from your past work to illustrate your thought process and problem-solving abilities.
✨Collaborative Spirit is Key
Since you'll be working with various teams, highlight your teamwork skills. Share experiences where you successfully collaborated with others to deliver AI-driven solutions. This will demonstrate that you can communicate effectively and contribute positively to a team environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI initiatives and their approach to customer experience. This shows your genuine interest in the role and helps you gauge if the company aligns with your values, especially regarding responsible AI.
