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- Tasks: Lead a team to develop advanced ML systems and deliver impactful solutions.
- Company: A top global financial services firm based in Scotland.
- Benefits: Competitive salary, career growth, and the chance to influence critical strategies.
- Why this job: Drive innovation in financial services and work on cutting-edge ML initiatives.
- Qualifications: Strong background in Machine Learning, Python proficiency, and AWS experience.
- Other info: Join a dynamic team and make a real impact in the industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm in Scotland is seeking a Lead Machine Learning Engineer to spearhead advanced ML initiatives within Risk Technology. You will lead a team to develop high-quality, scalable systems and collaborate with various teams to deliver impactful solutions.
The ideal candidate has a strong background in Machine Learning Engineering, proficiency in Python, and experience with AWS. This role offers an opportunity to influence critical strategies and drive innovation in financial services.
Lead ML Engineer: Agentic AI for Risk Tech in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer: Agentic AI for Risk Tech in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI space 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 skills and be ready to discuss your past projects in detail. We recommend practising common ML interview questions to boost your confidence.
✨Tip Number 3
Showcase your passion for innovation! When you get the chance, share your thoughts on the latest trends in ML and Risk Tech. This will demonstrate your enthusiasm and keep you top of mind for hiring managers.
✨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 are proactive about their job search!
We think you need these skills to ace Lead ML Engineer: Agentic AI for Risk Tech in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Machine Learning Engineering and Python in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with AWS and any relevant projects that showcase your ability to lead and innovate in Risk Technology.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at JPMorganChase
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in past projects, especially in risk technology. This will show your depth of knowledge and ability to lead advanced initiatives.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve coding problems or explain your approach to building scalable systems. Practising common ML libraries like TensorFlow or PyTorch can give you an edge.
✨Familiarise Yourself with AWS
Since experience with AWS is crucial for this role, make sure you understand its services related to machine learning. Be ready to discuss how you've used AWS in previous projects, particularly in deploying ML models or managing data pipelines.
✨Collaborative Mindset
This role involves working with various teams, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated with others to deliver impactful solutions. This will demonstrate your ability to influence strategies and drive innovation.
