Lead Software Engineer - Python / AWS / MLOps

J.P. Morgan
City of London, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

PoliceAI: Senior AI Engineer

College of Policing London, Eng, United Kingdom
£78,000 – £85,000 pa Remote

Lead Software Engineer

Faculty AI London, United Kingdom
Hybrid

Staff Software Engineer, Infrastructure (Distributed Systems)

Anthropic London, United Kingdom
£325,000 – £390,000 pa

Software Engineering Manager - Machine Learning- Systematic Quant Fund

eFinancialCareers London, United Kingdom
On-site

Senior Robotics Software Engineer

Autodiscovery Wantage, Oxfordshire, United Kingdom
On-site

Senior Software Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Senior Software Engineer

Faculty AI London, United Kingdom
Hybrid
Posted
28 Oct 2025 (12 months ago)

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.
  • Proven hands-on experience with as infrastructure-as-code tools such as Terraform or equivalent.
  • 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.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.