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For Companies At a Glance
- Tasks: Develop cutting-edge AI solutions to revolutionise banking operations.
- Company: Join a leading financial institution at the forefront of AI innovation.
- Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
- Why this job: Be part of a team shaping the future of banking with advanced AI technologies.
- Qualifications: Experience in AI research and practical data analysis skills required.
- Other info: Collaborative environment with a focus on sustainability and impactful solutions.
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 team members who will help 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 Senior Associate in this Applied AI Research team you will be a builder and scientific contributor who will help bridge the gap between leading-edge theory and enterprise-grade, large-scale, deployable systems.
Job Responsibilities
- Contribute to the development of GenAI and Agentic solutions to automate complex operational processes.
- Assist JPMC Lines of Business and teams in solving priority use cases within the domain.
- Deliver agents that can collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC.
- Assist in designing and building services and libraries that AI teams want to use.
- Participate in a culture of excellence, innovation, and continuous learning within the AI engineering team.
- Contribute towards 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 experience working in a commercial AI research environment.
- Strong understanding of AI fundamentals and practical experience with data analysis and experimental design.
- Experience deploying AI/ML applications in a production environment.
- Familiarity with distributed computing patterns for training, serving, and persistence of state.
- Experience integrating user feedback to support agentic refinement and self-improving AI applications.
- Experience working as part of a high-performing AI team.
Preferred Qualifications, Capabilities, and Skills
- Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required.
- PhD level education.
Applied AI ML Researcher Senior Associate - 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 Researcher Senior Associate - 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 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 AI/ML projects, especially those that align with agentic AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Applied AI ML Researcher Senior Associate - 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 your experiences and interests align with our mission to build the next generation of autonomous agents.
Highlight Relevant Experience: Make sure to detail any research or practical experience you have in AI, especially in a commercial setting. We’re looking for candidates who can bridge theory and practice, so share specific projects or roles that demonstrate your skills.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Use keywords from the posting to show that you understand what we’re looking for and how you fit into our vision.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Fundamentals
Make sure you brush up on your understanding of AI fundamentals. Be ready to discuss concepts like agentic AI, machine learning models, and data analysis techniques. This will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Research Experience
Prepare to talk about your previous research experience in AI. Highlight specific projects where you contributed to developing AI solutions or deploying ML applications. Use concrete examples to demonstrate how your work has made an impact.
✨Demonstrate Collaboration Skills
Since this role involves working with various stakeholders, be ready to discuss how you've collaborated with teams in the past. Share examples of how you’ve worked with others to solve complex problems or deliver projects successfully.
✨Prepare for Technical Questions
Expect technical questions related to deploying AI/ML applications, especially in production environments. Brush up on distributed computing patterns and be prepared to discuss how you would approach integrating user feedback into AI systems.
