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For Companies At a Glance
- Tasks: Leverage AI technologies to develop LLM-based models and generative AI applications.
- Company: Top-tier financial institution focused on operational excellence.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make impactful contributions in a leading company using cutting-edge AI tech.
- Qualifications: Strong background in computer science, Python skills, and AI/ML deployment experience.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial institution seeks an Applied AIML Engineer to leverage AI technologies for operational excellence. The role involves developing LLM-based models and generative AI applications, optimizing processes while collaborating with stakeholders.
The ideal candidate should have a strong educational background in computer science or related fields, exhibit excellent skills in Python programming, and possess experience in deploying AI/ML solutions in production environments.
This is an exciting opportunity to make impactful contributions in a top-tier company.
Senior Applied AIML Lead | Python & Data Science Engineer in Glasgow employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AIML Lead | Python & Data Science Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial sector or those already working with AI technologies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with deploying AI/ML solutions and how you've optimised processes in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Applied AIML Lead | Python & Data Science Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI/ML solutions. 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 excited about this role and how your background in computer science makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've optimised processes or developed innovative solutions in previous roles. We love seeing candidates who can think outside the box and tackle challenges head-on!
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 J.P. Morgan
✨Know Your AI Inside Out
Make sure you brush up on the latest trends in AI and ML, especially around LLMs and generative AI. Be ready to discuss how you've applied these technologies in your previous roles, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Familiarise yourself with libraries like TensorFlow or PyTorch, as they could come up in conversation.
✨Collaboration is Key
This role involves working closely with stakeholders, so be prepared to discuss your experience in collaborative projects. Think of examples where you successfully communicated complex technical concepts to non-technical team members or how you gathered requirements from stakeholders.
✨Prepare Questions that Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company's AI strategy and how they measure success in their projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
