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- Tasks: Design and develop innovative AI/ML solutions for cloud data pipelines.
- Company: Leading financial services corporation with a focus on technology and innovation.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of finance with cutting-edge technology.
- Qualifications: Proficient in Python and AWS, with strong operational management skills.
- Other info: Embrace diversity and inclusivity in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services corporation seeks a Lead Software Engineer to join their Commercial and Investment Banking - Applied AI/ML team in Greater London. The role involves designing, developing, and delivering innovative technology solutions and requires solid AWS experience and proficiency in Python. Additionally, strong operational management and a deep understanding of the financial industry are crucial. Candidates should be committed to fostering a diverse and inclusive workplace.
Senior Lead AI/ML Software Engineer — Cloud Data Pipelines employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead AI/ML Software Engineer — Cloud Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI/ML space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects and Python code. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles, especially in the financial sector.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find you!
We think you need these skills to ace Senior Lead AI/ML Software Engineer — Cloud Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS experience and Python proficiency. 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 in the financial sector and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Operational Management Skills: Since strong operational management is key for this role, make sure to include examples of how you've successfully managed projects or teams in the past. We’re looking for leaders who can drive innovation!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your AWS and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them. This will show your technical prowess and problem-solving abilities.
✨Understand the Financial Landscape
Since this role is in a financial services corporation, it’s essential to have a solid grasp of the industry. Familiarise yourself with current trends in commercial and investment banking, especially how AI/ML is being applied. This knowledge will help you connect your technical skills to real-world applications.
✨Showcase Your Leadership Skills
As a Senior Lead, you'll need to demonstrate strong operational management capabilities. Prepare examples of how you've led teams or projects in the past, focusing on your approach to fostering collaboration and inclusivity within your team.
✨Emphasise Diversity and Inclusion
This company values a diverse and inclusive workplace, so be prepared to discuss how you’ve contributed to such an environment in your previous roles. Share specific instances where you promoted diversity or supported underrepresented groups in tech.
