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- Tasks: Lead the development of AI/ML solutions and integrate them into operations.
- Company: A top global financial services firm with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the world of finance through AI.
- Qualifications: Strong Python skills, experience with Kubernetes, and cloud infrastructure knowledge.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading global financial services firm is seeking a Lead Software Engineer to join their Applied Artificial Intelligence and Machine Learning team. You will play a pivotal role in transforming operations by integrating innovative AI/ML solutions. The ideal candidate has strong skills in Python and Kubernetes, along with a solid foundation in cloud infrastructure. Join a collaborative team and contribute to developing robust APIs and services.
Lead AI/ML Engineer (Python) – Cloud, MLOps & AWS in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI/ML Engineer (Python) – Cloud, MLOps & AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving cloud infrastructure and MLOps. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Kubernetes and AWS knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead AI/ML Engineer (Python) – Cloud, MLOps & AWS in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially in AI/ML contexts. Don't just list your skills; give us examples of what you've built!
Talk About Your Cloud Experience: Since cloud infrastructure is key for this role, share your hands-on experience with AWS or similar platforms. We love seeing how you've leveraged cloud services to enhance your projects, so be specific about the tools and technologies you've used.
Demonstrate Your MLOps Knowledge: MLOps is a big part of what we do, so let us know how you've implemented MLOps practices in your previous roles. Share any frameworks or methodologies you’ve used to streamline ML workflows, as this will show us you're ready for the challenge!
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with Kubernetes and cloud infrastructure. Prepare to explain how you've used these technologies in past projects, as this will show your practical knowledge and problem-solving abilities.
✨Showcase Your AI/ML Experience
Be prepared to talk about specific AI/ML solutions you've implemented. Think of examples where you've transformed operations or improved processes using these technologies. This will demonstrate your capability to contribute to the team effectively.
✨Understand the Company’s Vision
Research the financial services firm and understand their approach to AI and ML. Knowing their goals and challenges will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Prepare for Collaborative Questions
Since this role involves working in a collaborative team, expect questions about teamwork and communication. Have examples ready that highlight your ability to work well with others, especially in developing APIs and services.
