At a Glance
- Tasks: Design and deliver cutting-edge machine learning systems that transform banking.
- Company: Join JPMorgan Chase, a leader in AI innovation.
- Benefits: Career growth, mentorship, and impactful projects await you.
- Other info: Diverse and inclusive workplace with opportunities for everyone.
- 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 JPMorganChase, 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.
Equal Employment Opportunity: We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Machine Learning Engineering & Applied AI ML Lead - Vice President employer: J.P. Morgan
At JPMorgan Chase, we are at the forefront of AI innovation, offering a dynamic work environment where your contributions directly impact the future of banking. Our culture fosters collaboration and mentorship, providing ample opportunities for career advancement while working on cutting-edge projects that automate and enhance critical processes. Join us to be part of a diverse team that values your expertise and encourages continuous learning in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering & Applied AI ML Lead - Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your expertise in AI solutions.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges, but also be ready to discuss how you've collaborated with teams and tackled real-world problems in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to the exciting AI projects we’re working on.
We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the job description. Highlight your machine learning engineering roles and any relevant projects you've worked on, especially those involving AWS and Kubernetes.
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 this role. Share specific examples of how you've bridged theory and practice in your previous work.
Showcase Your Technical Skills:Don’t forget to mention your proficiency with libraries like PyTorch and NumPy. We want to see your hands-on experience with distributed systems and automated pipelines, so be sure to include those details!
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 to shape the future of AI at JPMorganChase.
How to prepare for a job interview at J.P. Morgan
✨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 ML systems or applications. 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 cross-functional teams. Highlight any projects where teamwork was key to success, and how you contributed to shaping team culture and driving impactful change.
✨Be Ready to Mentor
If you have experience mentoring or leading teams, make sure to bring it up during the interview. Discuss how you’ve supported team members in their growth and how you can contribute to fostering a collaborative environment at JPMorganChase. This shows you’re not just a tech whiz but also a team player.
