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- Tasks: Lead AI initiatives and develop multi-agent systems in Risk Technology.
- Company: Top global financial services provider based in Scotland.
- Benefits: Innovative work environment with opportunities for career advancement.
- Why this job: Make a real impact in asset and wealth management risk with cutting-edge technology.
- Qualifications: Relevant degree, extensive ML engineering experience, and proficiency in Python and AWS.
- Other info: Collaborate with diverse teams to enhance business value.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services provider in Scotland seeks a Lead Machine Learning Engineer to spearhead AI initiatives in Risk Technology. The role involves developing multi-agent systems, leading a diverse team, and collaborating across departments to enhance business value.
Candidates must hold a relevant degree, have extensive ML engineering experience, and be proficient in Python and AWS. This position offers an opportunity to innovate in asset and wealth management risk.
Lead ML Engineer - Agentic AI & Risk Systems in Scotland employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer - Agentic AI & Risk Systems in Scotland
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and AWS skills, and be ready to discuss your past projects in detail. We recommend practising common ML engineering interview questions to boost your confidence.
✨Tip Number 3
Showcase your passion for AI and risk technology! Create a portfolio of your work or contribute to open-source projects. This will not only demonstrate your skills but also your commitment to innovation in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead ML Engineer - Agentic AI & Risk Systems in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering and your proficiency in Python and AWS. 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 initiatives in Risk Technology and how you can lead our diverse team. Let us know what excites you about the role and the impact you hope to make.
Showcase Your Leadership Skills: As a Lead ML Engineer, we’re looking for someone who can inspire and guide a team. In your application, share examples of how you’ve led projects or teams in the past. We want to see your leadership style and how you collaborate across departments.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. 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 ML Fundamentals
Brush up on your machine learning concepts, especially those relevant to risk systems. Be prepared to discuss algorithms, model evaluation, and how you’ve applied these in past projects. This shows you’re not just familiar with the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your ability to write clean, efficient code.
✨Highlight Team Leadership Experience
As a Lead ML Engineer, you’ll need to lead a diverse team. Share specific examples of how you’ve successfully managed teams, resolved conflicts, and fostered collaboration. This will show that you can not only lead but also inspire others.
✨Understand the Business Context
Familiarise yourself with the financial services sector, particularly asset and wealth management. Be prepared to discuss how AI can enhance business value in this context. This demonstrates that you’re not just a techie but also understand the bigger picture.
