At a Glance
- Tasks: Design and deliver cutting-edge machine learning systems for AI-powered products.
- Company: Join JPMorgan Chase, a leader in innovation and technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for growth.
- Other info: Collaborate with global teams and pioneer new approaches in AI.
- Why this job: Make a real impact by shaping the future of AI in finance.
- Qualifications: Experience in machine learning and a degree in a quantitative field.
The predicted salary is between 120000 - 150000 € per year.
We’re developing an AI platform and desktop application that helps users automate their document processing workflows at JPMorgan Chase, already operating at hundreds of documents per second and doubling every three months. 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.
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
Qualifications
- 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
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.
We are an equal opportunity employer, committed to diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, pregnancy, disability, or any other basis protected under applicable law. We will 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 in City of Westminster employer: Jpmorgan Chase & Co.
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Machine Learning Engineering & Applied AI ML Lead, you will have the opportunity to work at the forefront of AI technology, with access to cutting-edge resources and a commitment to your professional growth through mentorship and continuous learning. Our inclusive environment values diversity and encourages you to make a meaningful impact while shaping the future of AI in one of the world's largest financial institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineering & Applied AI ML Lead - Vice President in City of Westminster
✨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! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common ML scenarios and be ready to discuss how you align ML solutions with business objectives.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President in City of Westminster
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. Don’t just repeat your CV; share specific examples of how you've tackled challenges in machine learning and software engineering.
Showcase Your Projects:If you've worked on any interesting ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and the impact they had.
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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
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 multi-threaded applications, as these will likely come up during technical discussions.
✨Align ML with Business Goals
Be prepared to discuss how machine learning can solve real business problems. Think of examples where you've aligned ML solutions with business objectives in the past. This shows that you understand the bigger picture and can translate technical skills into business value.
✨Showcase Your Mentoring Skills
Since mentoring is part of the role, be ready to share experiences where you’ve supported or led team members. Highlight specific instances where your guidance made a difference, demonstrating your leadership potential and collaborative spirit.
✨Prepare for Problem-Solving Questions
Expect to tackle some problem-solving scenarios related to AI and ML. Practice articulating your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for interviewers to follow your reasoning.
