At a Glance
- Tasks: Lead the development of AI solutions that tackle real-world challenges at JPMorganChase.
- Company: Join a global leader in banking, shaping the future of AI technology.
- Benefits: Enjoy career growth, mentorship, and the thrill of innovation in a dynamic environment.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional development.
- Why this job: Make a significant impact by building next-gen AI systems in a collaborative team.
- Qualifications: Experience in machine learning engineering and a degree in a quantitative field required.
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
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 or 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: 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 a culture that prioritises mentorship, career growth, and collaboration with talented professionals across the globe. Join us in a role that offers flexibility, the chance to shape team culture, and the excitement of being at the forefront of AI technology in the financial sector.
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 and contributions. This is your chance to demonstrate how you can bridge theory and practice, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Practice explaining complex concepts in simple terms, as collaboration is key in our field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at JPMorganChase.
We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in machine learning engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects and achievements!
Showcase Your Technical Skills:Since this role involves a lot of technical expertise, be sure to mention your proficiency with tools like AWS, Kubernetes, and libraries such as PyTorch and NumPy. We love seeing hands-on experience, so include any specific projects where you’ve used these technologies.
Demonstrate Your Problem-Solving Abilities:We’re looking for candidates who can bridge theory and practice. Share examples of how you've tackled complex challenges in your previous roles, especially those that involved designing scalable ML solutions or collaborating with cross-functional teams.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
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 experience with distributed systems and scalable applications, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've translated scientific research into practical ML solutions. Think about challenges you've faced and how you overcame them, especially in high-stakes environments. This will demonstrate your ability to align ML problem definitions with business objectives.
✨Emphasise Collaboration
Since this role involves working closely with cloud and SRE teams, be ready to talk about your collaborative experiences. Highlight any projects where teamwork was crucial to success, and how you’ve mentored or supported others in your previous roles.
✨Stay Curious and Innovative
Express your passion for continuous learning and innovation. Share any recent trends in AI or machine learning that excite you, and how you envision applying them in a banking context. This shows you're not just looking for a job, but are genuinely interested in shaping the future of AI.
