At a Glance
- Tasks: Lead the development of cutting-edge AI/ML models and drive innovative solutions.
- Company: Join Quilter, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy flexible work options, excellent benefits, and a dynamic team environment.
- Other info: Be part of a collaborative team with exciting career growth opportunities.
- Why this job: Make a real impact in AI while working with top experts in the field.
- Qualifications: Expertise in AI/ML, RAG, deep learning, and Python programming required.
The predicted salary is between 70000 - 90000 € per year.
Quilter is looking for an experienced AI Scientist to lead the development and deployment of machine learning models within the AI Centre of Excellence. This role requires expertise in AI/ML solution delivery, experience in RAG and deep learning, and a solid background in Python programming.
The position offers excellent benefits, flexible work options, and a chance to drive innovative AI solutions in a dynamic team environment.
Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in Southampton employer: Quilter
Quilter is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior AI/ML Scientists to thrive. With flexible work options and a commitment to employee growth, you will have the opportunity to lead cutting-edge AI projects while enjoying a supportive environment that values your contributions. Join us in our AI Centre of Excellence and be part of a dynamic team dedicated to shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RAG and deep learning. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI/ML Scientist - GenAI, LLMs & RAG Expert in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML, especially with RAG and deep learning. 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 and how your background makes you the perfect fit for our team. Let us know what excites you about this role at Quilter.
Showcase Your Python Skills:Since Python programming is key for this position, include specific examples of your work with Python in your application. We love seeing practical applications of your coding skills, so don’t hold back!
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. We can’t wait to hear from you!
How to prepare for a job interview at Quilter
✨Know Your AI Inside Out
Make sure you brush up on the latest trends in AI and ML, especially around Generative AI, LLMs, and RAG. Be prepared to discuss your previous projects and how they relate to the role at Quilter. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Your Python Skills
Since Python programming is a key requirement, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to building machine learning models. Practising coding challenges beforehand can really help!
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've successfully delivered AI/ML solutions, particularly in a team setting. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Emphasise Team Collaboration
Quilter values a dynamic team environment, so highlight your experience working collaboratively on projects. Share specific instances where you contributed to a team's success, showcasing your ability to communicate and work well with others in a fast-paced setting.
