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- Tasks: Design and deploy cutting-edge AI/ML models in a dynamic financial services environment.
- Company: Leading UK financial services firm with a focus on innovation.
- Benefits: Competitive salary, professional growth opportunities, and collaborative team culture.
- Why this job: Join a Centre of Excellence and make an impact in AI solutions.
- Qualifications: Advanced degree in AI/ML and experience in Natural Language Processing.
- Other info: Exciting career development in a fast-paced, innovative setting.
The predicted salary is between 48000 - 72000 £ per year.
A financial services firm based in the UK is seeking an AI/ML Specialist to focus on the development and deployment of machine learning models in its Center of Excellence. The ideal candidate will possess an advanced degree and a proven track record in AI solutions, specifically in Natural Language Processing and machine learning.
Responsibilities include:
- Designing innovative RAG pipelines
- Evaluating model performance
- Collaborating effectively across teams
This position offers significant professional growth in a dynamic environment.
Senior GenAI & ML Scientist — RAG/LLM Expert employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GenAI & ML Scientist — RAG/LLM Expert
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to RAG pipelines and NLP. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨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 GenAI & ML Scientist — RAG/LLM Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning, especially in Natural Language Processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Achievements: When detailing your experience, focus on specific achievements and outcomes. We love numbers, so if you’ve improved model performance or led successful projects, make sure to include those details!
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 our team!
How to prepare for a job interview at Quilter
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially in Natural Language Processing. Be ready to discuss specific projects you've worked on, particularly those involving RAG pipelines and model evaluation.
✨Showcase Collaboration Skills
Since the role involves working across teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve successfully partnered with others to achieve a common goal in your previous roles.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning models and their deployment. Practice explaining complex concepts in simple terms, as this will demonstrate your deep understanding and ability to communicate effectively.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's approach to AI solutions and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
