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Software Engineer III - AI - Chase UK

JPMorgan Chase

Software Engineer III - AI - Chase UK

JPMorgan Chase

LONDON, LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

4mo ago

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.

As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in a team focused on the delivery of a leading-edge technology stack underpinning our customer servicing capabilities.

We are seeking two talented AI Engineers to join our new AI team dedicated to developing an advanced Agent Assist platform for contact centre agents. You will design, build, and deploy machine learning models and automation solutions, collaborating with backend, Salesforce, and AWS engineers.

Key Responsibilities:

  • Design and implement AI/ML models to automate agent workflows and display tasks

  • Collaborate with backend, Salesforce, and AWS engineers to integrate AI solutions

  • Optimize model performance and scalability in production environments

  • Participate in proof-of-concept (POC) initiatives, including internal Agent assist AI tools

  • Monitor, evaluate, and improve AI-driven features based on user feedback and metrics

  • Document solutions and contribute to team knowledge sharing

  • Research and prototype innovative agent assist features (30% innovation focus)

Required Skills:

  • Proficiency in Python is mandatory

  • Strong experience in ML frameworks (Tensor Flow, Py Torch, Scikit-learn)

  • Hands-on experience with cloud platforms, especially AWS

  • Familiarity with RESTful APIs and microservices architecture

  • Experience integrating AI solutions with enterprise platforms such as Salesforce and AWS

  • Excellent problem-solving and communication skills

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Preferred Skills:

  • Experience with agent assist or contact centre technologies

  • Exposure to automation and workflow optimization

#ICBEngineering #ICBCareers

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study