At a Glance
- Tasks: Design and deliver cutting-edge AI solutions that transform banking operations.
- Company: Join JPMorganChase's pioneering team in the AI space.
- Benefits: Career growth, mentorship, and impactful projects await you.
- Other info: Collaborative culture with opportunities for leadership and continuous learning.
- Why this job: Shape the future of banking with innovative AI technology.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Drive innovation by designing and delivering enterprise-grade AI solutions that transform banking operations.
Join a pioneering team at JPMorgan Chase where you can build autonomous agents to solve meaningful, complex challenges.
You will collaborate with talented teams globally, bridging research and real-world engineering to deliver next-generation solutions.
We value your expertise and support your growth through mentorship and mobility.
Help shape how AI scales securely in a highly regulated environment.
As a Full Stack Engineer - ML Platform, Applied AI in the Doc AI team within Commercial and Investment Banking, you will design and deliver production architectures for AI-powered products and services.
You will work at the intersection of software engineering and applied research to translate innovative ideas into scalable, enterprise-grade solutions.
You will collaborate closely with cloud and site reliability engineering teams to build robust, secure systems.
You will contribute to a team culture that values ownership, learning, and impact.
Depending on your interests and experience, the role offers flexibility for an individual contributor path and optional people leadership opportunities.
- Job Responsibilities
- Design and deliver enterprise-grade machine learning systems
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy highly secure automated pipelines for cloud systems, desktop applications, and ML solutions
- Apply software engineering and computer science best practices
- Develop and deploy business-critical, data-intensive applications
- Leverage foundational libraries and services for reuse across teams
- Utilize MLOps tools for versioning, reproducibility, and observability
- Collaborate with cloud and site reliability engineering teams to build robust production architectures
- Required Qualifications, Capabilities, and Skills
- Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics
- Strong knowledge of and hands-on experience with Python
- Broad understanding of the software stack, including front end, back end, cloud architecture, messaging and queue systems, databases, security, and network configurations
- Experience with AWS and Kubernetes
- Ability to develop and deploy business-critical, data-intensive applications
- Strong understanding of computer science fundamentals and development best practices
- Ability to understand business objectives and align machine learning problem definitions accordingly
- Preferred Qualifications, Capabilities, and Skills
- Experience in machine learning engineering roles
- Familiarity with higher-level interfaces such as Pydantic AI and Langraph
- Proficiency in Type Script
- Experience mentoring others or leading teams
- Experience designing reusable libraries and services
- Interest in bridging scientific theory with 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.
The Doc AI team is responsible for building, deploying, and maintaining advanced document processing models and platforms that support colleagues across the firm.
The team is currently developing a next-generation AI platform and desktop application that enables users to automate document-centric workflows at enterprise scale, leveraging secure, agentic AI systems capable of processing hundreds of documents per second while operating within one of the world's most demanding and highly regulated environments.
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.
- #CIBApplied AI
- #J-18808-Ljbffr
Full-Stack Engineer - ML Platform, Applied AI - Vice President employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack Engineer - ML Platform, Applied AI - Vice President
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JPMorgan Chase & Co. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JPMorgan Chase & Co..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JPMorgan Chase & Co..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JPMorgan Chase & Co. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Full-Stack Engineer - ML Platform, Applied AI - Vice President
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JPMorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorgan Chase & Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at JPMorgan Chase & Co.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JPMorgan Chase & Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
