Location: LONDON, LONDON, United Kingdom

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.

Promote innovation as a Lead Software Engineer, leading projects with Python, Kubernetes, and AWS expertise.