Senior Applied AI/ML Scientist - NLP/CV

Senior Applied AI/ML Scientist - NLP/CV

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
JPMorgan Chase

At a Glance

  • Tasks: Leverage cutting-edge AI techniques to optimise business decisions and automate processes.
  • Company: Join JPMorgan Chase, a leader in the financial services industry.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborate closely with engineering teams in a fast-paced setting.
  • Why this job: Make a real impact by delivering AI solutions in a dynamic environment.
  • Qualifications: PhD in a quantitative discipline and hands-on experience with AI tools.

The predicted salary is between 70000 - 90000 £ per year.

JPMorgan Chase is seeking an Applied AI ML - Sr. Associate - Machine Learning Scientist to join their Corporate Investment Bank team in London. You will leverage cutting-edge AI techniques to optimize business decisions and automate processes, with responsibilities that include delivering value with AI solutions and collaborating closely with engineering teams.

The ideal candidate will have a PhD in a quantitative discipline and extensive hands-on experience with tools like pytorch, numpy, and deep learning architectures.

Senior Applied AI/ML Scientist - NLP/CV employer: JPMorgan Chase

JPMorgan Chase is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Corporate Investment Bank team in London. Employees benefit from access to cutting-edge technology, extensive professional development opportunities, and a commitment to diversity and inclusion, making it an ideal environment for those looking to make a meaningful impact in the field of AI and machine learning.

JPMorgan Chase

Contact Details:

JPMorgan Chase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Applied AI/ML Scientist - NLP/CV

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got projects or research that highlight your expertise in AI/ML, make sure to showcase them. A portfolio can speak volumes about your hands-on experience with tools like PyTorch and deep learning.

Tip Number 3

Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with NLP and CV, and how you've applied AI solutions to real-world problems. Confidence is key!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team.

We think you need these skills to ace Senior Applied AI/ML Scientist - NLP/CV

Applied AI
Machine Learning
Natural Language Processing (NLP)
Computer Vision (CV)
Deep Learning
PyTorch
NumPy

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with AI techniques and tools like PyTorch and NumPy. We want to see how you've used these in real-world scenarios, so don’t hold back!

Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention your PhD and any relevant projects that align with the responsibilities of optimising business decisions and automating processes.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise in deep learning architectures.

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 JPMorgan Chase

Know Your AI Tools Inside Out

Make sure you’re well-versed in the tools mentioned in the job description, like PyTorch and NumPy. Brush up on your deep learning architectures too, as you might be asked to discuss specific projects where you've applied these technologies.

Showcase Your Problem-Solving Skills

Prepare to discuss how you've leveraged AI to solve real-world problems. Think of examples where your solutions made a significant impact, especially in optimising business decisions or automating processes.

Collaborate Like a Pro

Since collaboration with engineering teams is key, be ready to share experiences where teamwork led to successful AI implementations. Highlight your communication skills and how you bridge the gap between technical and non-technical stakeholders.

Stay Updated on Industry Trends

Familiarise yourself with the latest trends in AI and machine learning, particularly in the finance sector. Being able to discuss recent advancements or case studies will show your passion and commitment to the field.