At a Glance
- Tasks: Develop and deploy advanced machine learning models to transform business operations.
- Company: Leading financial institution in Greater London with an elite AI team.
- Benefits: Opportunity to work on cutting-edge projects and collaborate with industry experts.
- Why this job: Make a real-world impact in Cybersecurity and Technology Infrastructure.
- Qualifications: Master's or PhD in a relevant field with machine learning experience.
- Other info: Join a dynamic team and enhance your skills in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial institution in Greater London is seeking a Machine Learning Scientist to join their elite AI team. In this role, you will develop and deploy advanced machine learning models that are pivotal in transforming business operations, particularly in Cybersecurity and Technology Infrastructure.
Ideal candidates will have a master's degree in a relevant field or a PhD with experience in machine learning. Strong familiarity with deep learning frameworks and excellent communication skills are required. This position offers the chance to work on cutting-edge projects alongside industry experts.
Senior Applied AI & ML Scientist — Drive Real-World Impact in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI & ML Scientist — Drive Real-World Impact in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML space, especially those working at the financial institution you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects, especially those related to Cybersecurity and Technology Infrastructure. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning frameworks. We recommend practicing coding challenges and discussing your thought process out loud, as communication is key in these roles.
✨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 Applied AI & ML Scientist — Drive Real-World Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know what you've done and how it relates to the position.
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. Plus, it’s super easy!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to deep learning frameworks. Be ready to discuss your previous projects and how they relate to the role, particularly in Cybersecurity and Technology Infrastructure.
✨Showcase Your Communication Skills
Since excellent communication is a must for this position, practice explaining complex AI concepts in simple terms. You might be asked to present your ideas or findings, so being clear and concise will set you apart.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of machine learning algorithms and their applications. Review common interview questions in this field and think through your problem-solving approach to demonstrate your expertise.
✨Research the Company
Familiarise yourself with the financial institution's recent projects and initiatives in AI. Understanding their goals and challenges will help you tailor your answers and show how you can contribute to their mission of driving real-world impact.