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- Tasks: Architect and develop AI solutions to automate complex banking processes.
- Company: Leading financial institution at the forefront of AI innovation.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Be a pioneer in AI, shaping the future of banking with cutting-edge technology.
- Qualifications: Research experience in AI and proven track record in deploying AI applications.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
The predicted salary is between 72000 - 108000 £ per year.
Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models. As an Applied AI ML Lead Researcher in the Applied AI Research team you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities:
- Architect and develop GenAI and agentic solutions to automate complex operational processes
- Assist Lines of Business and teams to directly solve priority use cases within the domain
- Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
- Design and build services and libraries that AI teams want to use
- Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
- Collaborate with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact
Required Qualifications, Capabilities, and Skills:
- Research experience or work in a top commercial AI research lab
- Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
- Proven track record of deploying AI/ML applications in a production environment at scale
- Familiarity with distributed computing patterns for training, serving, and persistence of state
- Experience integrating user feedback to establish agentic refinement and self-improving AI applications
- Experience in building and leading high-performing AI teams
Preferred Qualifications, Capabilities, and Skills:
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
Applied AI ML Lead Researcher - Commercial and Investment Bank in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI ML Lead Researcher - Commercial and Investment Bank in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those that demonstrate your ability to solve complex problems. We want to see your work in action, so make it easy for recruiters to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI ML Lead Researcher - Commercial and Investment Bank in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you connect with the mission of building autonomous agents that can revolutionise banking. Share your experiences and projects that highlight your passion!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experience in AI research and deployment, especially any work with agentic solutions. We love seeing how your skills align with our goals, so don’t hold back!
Be Specific About Your Achievements: Quantify your accomplishments where possible. Instead of saying you 'worked on AI projects', tell us about a specific project where you led a team or developed a solution that had a measurable impact. We appreciate clarity and detail!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Fundamentals
Make sure you brush up on your AI fundamentals before the interview. Be ready to discuss concepts like agentic AI, distributed computing patterns, and how they apply to real-world scenarios. This will show that you have a solid foundation and can bridge theory with practical applications.
✨Showcase Your Experience
Prepare specific examples from your past work where you've successfully deployed AI/ML applications at scale. Highlight any experience you have with AWS platforms like SageMaker or Bedrock, even if it's not a requirement. This will demonstrate your hands-on expertise and readiness for the role.
✨Emphasise Team Leadership
As a potential mentor and leader, be prepared to discuss your experience in building and leading high-performing AI teams. Share how you've fostered a culture of excellence and innovation, and how you plan to inspire your future team at the bank.
✨Collaborate and Communicate
Since collaboration is key in this role, think about how you can effectively communicate with stakeholders and technical partners. Prepare to discuss past experiences where you’ve worked cross-functionally to solve complex problems, as this will highlight your ability to maximise impact across the organisation.
