At a Glance
- Tasks: Design and build AI/ML solutions on the LLM Suite platform.
- Company: Join JPMorganChase, a leader in innovative technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborative environment with a focus on feedback and inclusion.
- Why this job: Tackle complex challenges and make an impact in AI/ML.
- Qualifications: Computer science degree and experience in Python and cloud tech.
The predicted salary is between 70000 - 90000 € per year.
JPMorganChase is hiring an Applied AI ML Senior Associate in Greater London to design and build AI/ML solutions on the LLM Suite platform. This role involves collaborating with senior engineers, tackling complex technical challenges, and ensuring high-quality production code.
Ideal candidates will hold a computer science degree and possess hands-on experience with system design and application development, as well as proficiency in Python and cloud technologies like Azure and AWS. A commitment to feedback and collaboration in a diverse and inclusive environment is essential.
Senior Applied AI/ML Engineer - GenAI & LLM Suite in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Employees benefit from extensive growth opportunities, competitive compensation, and a commitment to diversity and inclusion, making it an ideal place for those looking to make a meaningful impact in the field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI/ML Engineer - GenAI & LLM Suite in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss your experience with AI/ML solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've built any cool AI/ML applications or contributed to open-source projects, make sure to highlight them. We love seeing practical examples of your work during interviews.
✨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’re always looking for passionate candidates who are eager to collaborate in a diverse environment.
We think you need these skills to ace Senior Applied AI/ML Engineer - GenAI & LLM Suite in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with AI/ML solutions, especially if you've worked with LLMs. We want to see your proficiency in Python and any cloud technologies like Azure or AWS that you've used.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Senior Applied AI/ML Engineer role. We love seeing how your background aligns with what we’re looking for.
Be Yourself:We value diversity and inclusion, so let your personality shine through in your application. Share your experiences and how you’ve collaborated with others in past projects – it’s all about teamwork!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the LLM Suite platform. Be ready to discuss your previous projects involving AI/ML solutions, especially those that showcase your system design and application development expertise.
✨Showcase Your Collaboration Skills
Since this role involves working closely with senior engineers, be prepared to share examples of how you've successfully collaborated in diverse teams. Highlight your commitment to feedback and how it has helped you grow in your previous roles.
✨Understand Cloud Technologies
Familiarise yourself with Azure and AWS, as these are crucial for the position. You might be asked about specific services or tools you've used, so having concrete examples will help demonstrate your hands-on experience.
✨Prepare for Technical Challenges
Expect to tackle some complex technical problems during the interview. Practice coding challenges or system design questions that could come up, and think through your problem-solving process so you can articulate it clearly.
