At a Glance
- Tasks: Join a team innovating AI solutions for customer onboarding and software engineering.
- Company: Be part of JPMorganChase, a leader in financial services and technology.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enhance your skills in a dynamic environment.
- Why this job: Make a real impact on financial services with cutting-edge AI technologies.
- Qualifications: Degree in Computer Science or related field; Python and React skills required.
The predicted salary is between 30000 - 40000 £ per year.
Join a team at the forefront of Applied AI innovation, helping build and deploy AI-enabled capabilities that improve customer onboarding and software engineering practices. As an Associate in the Applied AI team, you will contribute to enterprise-grade solutions that support KYC and onboarding operations and enhance the software development lifecycle. You will collaborate with software engineers, data/ML partners, and business stakeholders to deliver practical improvements under guidance, with strong opportunities for learning and growth at JPMorganChase.
Job Responsibilities
- Contribute to the development and deployment of AI-enabled services supporting KYC, onboarding operations, and software engineering workflows.
- Implement and maintain scalable, reusable components for AI/ML solutions, following established architecture patterns and engineering standards.
- Build and integrate RESTful APIs (e.g., FastAPI) and front-end components where needed (React) to deliver usable, production-ready capabilities.
- Develop and support ETL processes and data pipelines that enable model development, evaluation, and operational reporting.
- Assist with database design and integration, including graph database modeling for relationship-driven use cases.
- Partner with AI and Data Science specialists to help operationalize models and embed services into strategic systems and processes.
- Participate in technical discovery of new AI infrastructure tools and approaches, summarizing findings and tradeoffs for the team.
- Document implementation details, design decisions, and operational runbooks to support maintainability and auditability.
- Help ensure production solutions meet expectations for reliability, scalability, security, monitoring, and compliance, escalating risks and issues as appropriate.
Required Qualifications, Skills and Capabilities
- Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or related field.
- Proficiency in Python and familiarity with React for building user-facing components.
- Experience designing, developing, and integrating RESTful APIs (e.g., FastAPI).
- Hands-on experience with Infrastructure-as-Code (Terraform) and CI/CD pipelines.
- Experience building or supporting ETL processes and data pipeline engineering.
- Working knowledge of database design and integration, including exposure to graph database modeling concepts.
- Familiarity with infrastructure monitoring and basic compliance considerations in production environments.
- Strong verbal and written communication skills, with the ability to collaborate effectively with technical and business partners.
- Ability to work in multi-disciplinary teams with diverse backgrounds and priorities.
Preferred Qualifications
- Exposure to AI/ML concepts and fundamental techniques, with interest in applied use cases.
- Experience applying AI, analytics, or automation in Finance or enterprise Technology environments.
- Familiarity with Databricks, MLflow, Grafana, and/or PySpark.
- Experience supporting delivery workstreams with stakeholder coordination, structured execution, and clear status reporting.
Why Join Us?
Your work will contribute to meaningful improvements in financial services operations by helping teams deliver faster, more reliable onboarding experiences and stronger engineering practices. At JPMorganChase, you will collaborate with talented professionals across engineering, data, and business functions while building practical skills in applied AI and enterprise delivery.
Applied AI ML Associate employer: Jpmorgan Chase & Co.
At JPMorganChase, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the field of Applied AI. Our commitment to employee growth is evident through extensive learning opportunities and hands-on experience with cutting-edge technologies, all while contributing to meaningful improvements in financial services operations. Join us in a supportive environment where your contributions will directly impact customer experiences and engineering practices.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Associate
✨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 projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. Don’t forget to brush up on your Python and RESTful API knowledge – they’ll likely come up!
✨Tip Number 4
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 our team at JPMorganChase.
We think you need these skills to ace Applied AI ML Associate
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, RESTful APIs, and any relevant AI/ML projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your background aligns with our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any relevant projects, whether in school or professionally, make sure to mention them. Include links to your GitHub or any live demos if possible. We’re keen to see your hands-on experience and creativity!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our innovative team at StudySmarter. Don’t miss out!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Basics
Brush up on your understanding of AI and ML concepts, especially those relevant to KYC and onboarding. Be ready to discuss how these technologies can improve processes and share any personal experiences or projects that showcase your knowledge.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and React. Have examples ready that highlight your experience with RESTful APIs and ETL processes. If you’ve worked with tools like Terraform or Databricks, be sure to mention that too!
✨Collaboration is Key
Since this role involves working with diverse teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve navigated different priorities to achieve a common goal.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or challenges they face in deploying AI solutions. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
