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- Tasks: Drive innovative AI solutions and design Machine Learning services for finance.
- Company: Global financial institution in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Blend research and engineering to make a real impact in financial services.
- Qualifications: Master's or PhD in a quantitative field and experience with Python libraries.
- Other info: Collaborative environment with a focus on data-driven decision making.
The predicted salary is between 48000 - 72000 £ per year.
A global financial institution in London seeks an Applied AI / ML Senior Associate Machine Learning Engineer. The role involves driving innovative AI solutions, designing Machine Learning services, and collaborating with teams to optimize data-driven decisions.
Candidates need a Master's or PhD in a quantitative field, along with extensive experience in statistical methods and Python libraries like PyTorch. It's a unique blend of research and engineering to advance AI applications in financial services.
Senior Applied AI/ML Engineer — Finance & NLP Impact employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI/ML Engineer — Finance & NLP Impact
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AI and ML. Use GitHub or a personal website to highlight your work with Python libraries like PyTorch. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with statistical methods and how you've applied them in real-world scenarios. Practice common interview questions related to AI and ML.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Applied AI/ML Engineer — Finance & NLP Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with statistical methods and Python libraries like PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the job. Mention your experience in driving innovative AI solutions and collaborating with teams, as these are key aspects of the role.
Be Clear and Concise: Keep your application 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 apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI and ML Inside Out
Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to finance and NLP. Be prepared to discuss your previous projects in detail, showcasing how you've applied statistical methods and Python libraries like PyTorch to solve real-world problems.
✨Showcase Your Collaborative Spirit
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve driven innovative solutions through teamwork, as this will demonstrate your ability to optimise data-driven decisions.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on your knowledge of machine learning algorithms, statistical methods, and coding in Python. Practising coding challenges or discussing your thought process on problem-solving can really set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects or how they envision the future of AI in financial services. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
