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- Tasks: Develop innovative AI solutions and design cutting-edge RAG pipelines.
- Company: Join Quilter's AI Centre of Excellence in a dynamic tech environment.
- Benefits: Permanent contract with opportunities for cross-functional collaboration and innovation.
- Other info: Located in Greater London, perfect for career growth in AI.
- Why this job: Make a real impact in wealth management using advanced AI technologies.
- Qualifications: Advanced degree in machine learning and expertise in Python required.
The predicted salary is between 70000 - 90000 £ per year.
Quilter is seeking an experienced AI Scientist to join its AI Centre of Excellence. The role involves developing solutions using machine learning and Generative AI and designing RAG pipelines.
Candidates should have:
- An advanced degree in machine learning
- Expertise in deep learning
- Proficiency in Python and related frameworks
The position offers opportunities for cross-functional collaboration and innovation in wealth management, situated in Greater London, with a permanent contract.
Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in London employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space, especially those at Quilter. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in Generative AI and RAG pipelines. This is your chance to demonstrate your expertise beyond the written application.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and deep learning concepts. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Quilter team.
We think you need these skills to ace Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning and deep learning. We want to see how your skills in Python and related frameworks can contribute to our AI Centre of Excellence.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to Generative AI and RAG pipelines.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 in wealth management.
How to prepare for a job interview at Quilter
✨Know Your Stuff
Make sure you brush up on your machine learning and Generative AI knowledge. Be ready to discuss your experience with deep learning and Python frameworks in detail. Prepare examples of projects you've worked on that showcase your expertise.
✨Understand RAG Pipelines
Since the role involves designing RAG pipelines, it’s crucial to understand how they work. Be prepared to explain your approach to building these pipelines and any challenges you've faced in the past. This will show your depth of knowledge and problem-solving skills.
✨Showcase Collaboration Skills
This position offers opportunities for cross-functional collaboration, so be ready to discuss how you've worked with different teams in the past. Share specific examples of successful collaborations and how they contributed to project outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about Quilter's AI Centre of Excellence and its goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations. Think about how you can contribute to their vision.