Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop cutting-edge AI/ML models and integrate RAG solutions.
- Company: Leading wealth management firm with a focus on innovation.
- Benefits: Private medical insurance and generous holiday allowance.
- Why this job: Join a top-tier team and shape the future of AI in finance.
- Qualifications: Advanced degree in ML/AI, Python proficiency, and machine learning experience.
- Other info: Permanent position available in Southampton or London.
The predicted salary is between 48000 - 72000 £ per year.
A leading wealth management company is seeking an AI Specialist for their AI Centre of Excellence. The role involves hands-on development of AI/ML models and RAG integration, ensuring collaboration with technical teams to deliver innovative solutions.
Ideal candidates will possess advanced degrees in ML or AI, demonstrate proficiency in Python and experience with machine learning frameworks.
The position is permanent and can be based in Southampton or London. Benefits include private medical insurance and a generous holiday allowance.
Senior AI/ML Scientist: GenAI & RAG Expert employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Scientist: GenAI & RAG Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those working at wealth management companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI/ML projects, especially any hands-on development you've done. This is your chance to demonstrate your proficiency in Python and machine learning frameworks.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding of RAG integration. Mock interviews with friends or using online platforms can really help you shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you prepare and stand out. Plus, it’s a great way to show your enthusiasm for joining our team in Southampton or London.
We think you need these skills to ace Senior AI/ML Scientist: GenAI & RAG Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML models and RAG integration. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our AI Centre of Excellence. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you’ve got hands-on experience with machine learning frameworks, make sure to include specific examples in your application. We’re keen to see what innovative solutions you’ve developed and how they could benefit us at StudySmarter.
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 candidates who take that extra step!
How to prepare for a job interview at Quilter
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML, especially around Generative AI and Retrieval-Augmented Generation (RAG). Be ready to discuss your hands-on experience with Python and any frameworks you've worked with. This shows you're not just a theorist but someone who can get their hands dirty.
✨Showcase Collaboration Skills
Since the role involves working closely with technical teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to innovative solutions, as this will demonstrate your ability to fit into their culture.
✨Prepare for Technical Questions
Expect some deep dives into your technical knowledge during the interview. Brush up on key concepts and be ready to solve problems on the spot. Practising coding challenges or discussing your previous projects can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they envision the future of AI in wealth management. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
