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- Tasks: Lead AI solutions to optimise business decisions in cloud migration.
- Company: Global financial services firm at the forefront of innovation.
- Benefits: Competitive salary, career advancement, and a dynamic work environment.
- Why this job: Combine your passion for AI with impactful projects in finance.
- Qualifications: Degree in Computer Science and strong Python skills required.
- Other info: Opportunity to lead scalable AI solutions in a collaborative team.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm is seeking an Applied AI / ML Lead – Vice President – Machine Learning Engineer in London. This role involves leveraging AI techniques to optimize business decisions, particularly in cloud migration.
Responsibilities include:
- Leading scalable AI solutions
- Developing reusable frameworks
Candidates should possess a degree in Computer Science or related fields and experience in machine learning engineering with strong Python skills. This position combines innovation in AI with impactful financial services.
Lead AI/ML Engineer for Enterprise Cloud Migration employer: JPMorgan Chase
Contact Detail:
JPMorgan Chase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI/ML Engineer for Enterprise Cloud Migration
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to cloud migration. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI and machine learning. Practice common interview questions and be ready to discuss how you've applied your knowledge in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Lead AI/ML Engineer for Enterprise Cloud Migration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning, especially any projects related to cloud migration. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess!
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 you can contribute to our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We’re keen to see real-world examples of your work in AI solutions and frameworks that demonstrate your innovative thinking.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at JPMorgan Chase
✨Know Your AI Inside Out
Make sure you brush up on the latest AI and machine learning techniques, especially those relevant to cloud migration. Be prepared to discuss specific projects where you've applied these technologies, as this will show your practical experience and understanding.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python beforehand.
✨Understand the Financial Services Landscape
Familiarise yourself with how AI is transforming financial services. Research the company’s recent initiatives and think about how your expertise can contribute to their goals, particularly in optimising business decisions through AI.
✨Prepare Questions That Matter
Interviews are a two-way street, so prepare insightful questions that reflect your interest in the role and the company. Ask about their current AI projects or challenges they face in cloud migration to show you're genuinely engaged and thinking critically about the position.
