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Senior Lead Software Engineering Applied AI ML

J.P. MORGAN

Greater London

Hybrid

GBP 80,000 - 100,000

Full time

2 days ago
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Job summary

A leading global financial services firm is looking for a Lead Software Engineer to join their Applied AI/ML team. In this role, you will design and develop innovative software solutions while using your expertise in AWS and Python. The ideal candidate will have over 5 years of experience in software engineering and a deep understanding of the financial services sector. This position offers competitive compensation and the chance to work in a collaborative environment that values diversity and inclusion.

Benefits

Competitive compensation
Diversity and inclusion initiatives

Qualifications

  • 5+ years of experience in software engineering.
  • Experience in building AWS/public cloud applications.
  • Strong Python programming skills.

Responsibilities

  • Lead design and technical troubleshooting for software solutions.
  • Develop secure, high-quality production code.
  • Identify opportunities to automate recurring issues.

Skills

Software engineering
AWS/public cloud applications
Python programming
Automation
Continuous delivery
Data processing
Machine learning
Financial services IT

Education

Certification in software engineering

Tools

AWS services
Kubernetes
Docker
MLOps
Job description
Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Applied AI/ML team, you are an integral part of an agile team that works, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high‑quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads sessions with internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and on‑prem/cloud architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Extensive experience in building and running AWS/public cloud based applications
  • Solid programming skills with Python
  • Hands‑on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle
  • Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.)
  • In‑depth knowledge of the financial services industry and their IT system
Preferred qualifications, capabilities, and skills
  • Experience in leading a small team of engineers as tech lead and manager
  • Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development
  • Familiarity with AWS databases and AWS services such as S3, ECS, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kinesis, MLOps and Large Language Model Operations (LLMOps)
  • Experience working on AIML systems and/or prior experience collaborating with data scientists
About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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