Applied AI/ML Engineer — Python & Data Science
Applied AI/ML Engineer — Python & Data Science

Applied AI/ML Engineer — Python & Data Science

Full-Time 50000 - 70000 £ / year (est.) No home office possible
JPMorganChase

At a Glance

  • Tasks: Create and deploy innovative AI/ML solutions using Python and machine learning models.
  • Company: Join JPMorganChase, a leading financial institution with a focus on diversity and inclusion.
  • Benefits: Enjoy competitive pay, career growth, and a supportive work environment.
  • Other info: Collaborative workspace that values fresh ideas and innovation.
  • Why this job: Make a real impact by optimising business processes with cutting-edge AI technology.
  • Qualifications: Master’s or Bachelor’s degree in a relevant field and expertise in Python.

The predicted salary is between 50000 - 70000 £ per year.

JPMorganChase in Glasgow is seeking an Applied AI/ML Engineer to enhance and deliver innovative AI/ML solutions. The role requires expertise in Python, API design, and experience deploying AI applications. You will co-develop machine learning models and create generative AI applications to optimize business processes. A Master’s or Bachelor’s degree in a relevant field is essential. Join a leading financial institution that values diversity and fosters an inclusive workspace.

Applied AI/ML Engineer — Python & Data Science employer: JPMorganChase

JPMorganChase in Glasgow is an exceptional employer that champions innovation and inclusivity, providing a dynamic work environment for Applied AI/ML Engineers. With a strong commitment to employee growth, you will have access to cutting-edge projects and professional development opportunities, all while being part of a diverse team that values your contributions. Enjoy the unique advantage of working in a leading financial institution that prioritises collaboration and creativity in the heart of Scotland's vibrant city.
JPMorganChase

Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied AI/ML Engineer — Python & Data Science

Tip Number 1

Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any AI applications you've developed. We recommend sharing this on platforms like GitHub to give potential employers a taste of what you can do.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge, especially around API design and machine learning models. We suggest doing mock interviews with friends or using online resources to get comfortable with common questions.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Applied AI/ML Engineer — Python & Data Science

Python
API Design
Machine Learning
Generative AI
AI Application Deployment
Data Science
Business Process Optimisation
Collaboration Skills
Problem-Solving Skills
Analytical Skills
Degree in Relevant Field

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in Python and any experience you have with API design. 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 AI/ML solutions and how you've contributed to similar projects in the past.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on board with our team!

How to prepare for a job interview at JPMorganChase

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries or frameworks you've used for AI/ML projects. Practising coding challenges can also help you demonstrate your problem-solving abilities.

Showcase Your API Design Knowledge

Since the role involves API design, be prepared to talk about your previous experiences in this area. Think of examples where you’ve designed or worked with APIs in your projects. Highlight how these APIs facilitated communication between different systems and improved efficiency.

Prepare for Technical Questions

Expect technical questions related to machine learning models and generative AI applications. Brush up on key concepts, algorithms, and your past projects. Being able to explain your thought process and the impact of your work will impress the interviewers.

Emphasise Diversity and Inclusion

JPMorganChase values diversity, so be ready to discuss how you contribute to an inclusive environment. Share experiences where you’ve worked in diverse teams or how you’ve supported inclusivity in your previous roles. This shows that you align with their company culture.

Applied AI/ML Engineer — Python & Data Science
JPMorganChase

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