At a Glance
- Tasks: Design and deliver cutting-edge AI systems that transform banking.
- Company: Join JPMorgan Chase, a leader in financial innovation.
- Benefits: Career growth, mentorship, and impactful projects await you.
- Other info: Collaborative culture with opportunities for leadership and innovation.
- Why this job: Shape the future of AI and make a real difference.
- Qualifications: Experience in machine learning and a degree in a quantitative field.
The predicted salary is between 100000 - 150000 € per year.
Join us in shaping the future of AI at JPMorgan Chase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.
We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.
As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.
Job Responsibilities:- Design and deliver enterprise-grade machine learning systems
- Collaborate with cloud and SRE teams to build robust production architectures
- Translate scientific research into scalable ML solutions
- Develop and deploy business-critical, data-intensive applications
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy automated pipelines for ML solutions
- Leverage foundational libraries and services for re-use across teams
- Apply best practices in software engineering and computer science
- Utilize MLOps tools for versioning, reproducibility, and observability
- Align ML problem definitions with business objectives
- Mentor and support team members, with optional management responsibilities
- Experience in machine learning engineering roles
- Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Proven ability to develop and deploy business-critical, data-intensive applications
- Extensive experience with AWS and Kubernetes
- Proficiency with lower-level libraries such as PyTorch and NumPy
- Hands-on experience implementing distributed, multi-threaded, and scalable applications
- Experience with automated building, testing, and deployment pipelines
- Familiarity with higher-level interfaces like Pydantic AI and Langraph
- Strong understanding of computer science fundamentals and development best practices
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Ability to understand business objectives and align ML problem definitions
- Experience mentoring or leading teams
- Knowledge of agentic AI concepts
- Experience designing reusable libraries and services
- Interest in bridging scientific theory and enterprise-grade systems
- Passion for innovation and continuous learning
Why Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.
Machine Learning Engineering & Applied AI ML Lead - Vice President in London employer: JPMorganChase
At JPMorgan Chase, we are committed to fostering a dynamic work environment where innovation thrives and your contributions truly matter. As a Machine Learning Engineering & Applied AI ML Lead, you will not only have the opportunity to work on cutting-edge AI solutions but also benefit from extensive career growth, mentorship, and a collaborative culture that values your expertise. Join us in shaping the future of banking while enjoying the unique advantages of working at one of the world's largest financial institutions, where your work can make a significant impact on clients and communities globally.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering & Applied AI ML Lead - Vice President in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and machine learning. You never know who might have a lead on your dream job or can introduce you to someone at JPMorganChase.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving machine learning and AI. Share your GitHub link or personal website when networking or during interviews to demonstrate your hands-on experience and problem-solving abilities.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in machine learning. Practice common interview questions and be ready to discuss how you've applied your knowledge in real-world scenarios.
✨Apply Through Our Website
Don't forget to apply directly through the JPMorganChase careers page! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of their innovative team.
We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineering role. Highlight your experience with AWS, Kubernetes, and any relevant projects that showcase your ability to develop scalable applications.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of how you've bridged theory and practice in your previous roles.
Showcase Your Projects:If you've worked on any interesting machine learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to solve complex problems.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. This way, we can easily track your application and ensure it reaches the right people in our team.
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Kubernetes, and libraries such as PyTorch and NumPy. Brush up on your knowledge of MLOps tools too, as they’ll be crucial for demonstrating your ability to align ML solutions with business objectives.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and delivered scalable machine learning systems. Think about challenges you faced and how you overcame them, especially in high-pressure environments. This will show your potential employer that you can handle the demands of a fast-paced role.
✨Emphasise Collaboration
Since this role involves working closely with cloud and SRE teams, be ready to talk about your experience collaborating with different teams. Highlight any projects where you’ve successfully bridged gaps between software engineering and scientific research, as this will demonstrate your ability to work effectively in a multidisciplinary environment.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview that reflect your interest in the company’s AI initiatives. Inquire about their current projects or future goals in AI, and how they envision the role contributing to those objectives. This shows you’re not just interested in the position, but also in the company’s mission.
