Lead Software Engineer - Applied AI/ML Python Engineer

Testing Site - JPMC; Greater London; Sur place; GBP 90 000 - 120 000; Plein temps

Résumé du poste

Testing Site - JPMC is seeking a Lead Software Engineer to join the Applied Artificial Intelligence and Machine Learning team within Corporate and Investment Banking. You will build robust APIs, services, and libraries while collaborating with Data Scientists to integrate AI/ML into banking systems.

You will architect scalable cloud infrastructure on AWS with Kubernetes, promote MLOps practices, and mentor junior engineers to drive automation and reliability across production systems.

Qualifications

• Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts.
• Proven hands-on experience with Python and Kubernetes or ECS.
• Experience with cloud platforms such as AWS.

Responsabilités

• Develop and maintain high-quality applications using Python.
• Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS.
• Design and deploy solutions with MLOps best practices.
• Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems.
• Mentor and guide junior team members, lead initiatives to promote best practices and automation.
• Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.

Connaissances

Python

AWS

MLOps

Formation

Formal training in Computer Science or related field

Outils

Kubernetes

ECS

Terraform

Description du poste

Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking.

You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries.

Job Responsibilities

• Develop and maintain high-quality applications using Python.
• Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS.
• Design and deploy solutions with MLOps best practices.
• Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems.
• Mentor and guide junior team members, lead initiatives to promote best practices and automation.
• Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.

Required Qualifications, Capabilities and Skills

• Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts.
• Proven hands-on experience with Python and Kubernetes or ECS.
• Experience with cloud platforms such as AWS.
• Ability to work independently to understand and integrate with other systems within a bank.
• Excellent communication and collaboration skills.

Preferred Qualifications, Capabilities and Skills

• Practical understanding of MLOPS.
• Hands-on experience with Terraform.