Software Engineer III - AI/ML

J.P. Morgan; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global financial services firm is seeking a Software Engineer III to advance their career in an agile environment. This role involves designing and delivering reliable technology products while engaging in challenging projects related to Cloud-native data, backend engineering, and AI/ML solutions. The ideal candidate possesses over 5 years of experience, proficient coding skills, and a passion for problem-solving and learning. This position allows you to contribute significantly to innovative technology products in a collaborative atmosphere.

Qualifications

• 5+ years proficient applied experience in software engineering.
• Hands-on practical experience in system design and application development.
• Experience with Cloud services, Infrastructure as Code.

Responsibilities

• Design and deliver technology products in a secure and stable manner.
• Implement critical technology solutions across various technical domains.
• Engage in challenging projects involving Cloud-native data.

Skills

Software engineering concepts

Coding in Python

System design

Microservices and distributed systems

Cloud engineering

Data engineering technologies

Education

Formal training or certification in software engineering

Tools

Kubernetes

AWS

Docker

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Corporate and Investment Bank Markets Research Technology, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include implementing critical technology solutions across various technical domains to support the firm's business objectives. You will engage in challenging projects involving Cloud-native data, backend engineering, and AI/ML engineering, contributing to the industrialization of AI/ML models at a production scale. This position is a hands‑on engineering role, where experience with data science or machine learning modeling is beneficial but not mandatory.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps
• Designs and implements data engineering solutions, leveraging modern big data technologies
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Embraces a passion for learning, problem‑solving, creative thinking and a can‑do attitude.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years proficient applied experience
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages (Python preferably)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Proven track record in system design, architecting and developing microservices, distributed systems and data‑intensive applications
• Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
• Practical experience developing Production‑scale Cloud‑native data engineering solutions in commercial environments
• Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena, RedShift) and MLOps
• Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications, capabilities, and skills

• Experience with data, AWS and AIML engineering in commercial settings
• Experience working on recommendation systems or other AI/ML systems
• Practical experience with Kubernetes, EKS, Docker, MLOps
• Prior exposure to LLMs, RAG, OpenSearch and vector databases
• Prior experience collaborating with data scientists