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- Tasks: Design and deliver AI/ML solutions for the LLM Suite platform.
- Company: Join JPMorgan Chase & Co., a leader in financial services.
- Benefits: Competitive salary, comprehensive benefits, and a focus on continuous learning.
- Other info: Collaborative culture that prioritises security and high-quality software.
- Why this job: Shape the future of AI while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience with Azure or AWS required.
The predicted salary is between 80000 - 100000 £ per year.
JPMorgan Chase & Co. is looking for an Applied AI ML Lead in Greater London to design and deliver AI/ML solutions for the LLM Suite platform. The successful candidate will own technical direction and collaborate with teams to enhance systems' standards and reliability.
This full-time role demands strong Python and system design skills, with experience in public cloud services like Azure and AWS. Join a culture that values security, high-quality software, and continuous learning.
Lead, GenAI & LLM Platform Engineer employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead, GenAI & LLM Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase & Co. Use LinkedIn to connect and engage with them. A friendly chat can sometimes open doors that applications can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects and system designs. This gives you a chance to demonstrate your expertise in AI/ML solutions and public cloud services.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to AI/ML and system design. We recommend practicing coding challenges and discussing your past experiences with relevant projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team at JPMorgan Chase & Co.
We think you need these skills to ace Lead, GenAI & LLM Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and system design. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 you can contribute to our LLM Suite platform. Let us know what excites you about working at JPMorgan Chase & Co.
Showcase Your Cloud Experience: Since we value experience with public cloud services like Azure and AWS, make sure to mention any relevant projects or roles where you’ve used these platforms. We love seeing practical examples of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and system design principles. Be ready to discuss specific projects where you've implemented AI/ML solutions, especially in cloud environments like Azure or AWS. This will show that you not only understand the theory but can apply it practically.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, prepare examples of how you've successfully collaborated in the past. Think about times when you enhanced system standards or reliability through teamwork. This will demonstrate your ability to fit into their culture of collaboration.
✨Emphasise Continuous Learning
JPMorgan Chase values continuous learning, so be ready to talk about how you keep your skills sharp. Mention any recent courses, certifications, or projects that reflect your commitment to staying updated in the fast-evolving AI/ML landscape.
✨Prepare Questions That Matter
At the end of the interview, you'll likely have a chance to ask questions. Prepare thoughtful ones that show your interest in their AI/ML initiatives and how you can contribute to their goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.