Lead Software Engineer – Python, AIML, Cloud

5 days ago

London, Greater London, United Kingdom JPMorgan Chase Full time £80,000 - £120,000 per year

J.P.MorganChase is seeking a Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.

Job Responsibilities

  • Develop and maintain high-quality, secure applications using Python and AWS
  • Create architecture and design deliverables, lead design and architecture reviews, promote best practice
  • Integrate AIML solutions into complex, domain-specific operations processing systems
  • Lead code reviews, design discussions, and agile planning sessions
  • Collaborate with SRE and production monitoring teams to ensure system reliability and performance
  • Contribute to software engineering communities of practice and technology events
  • Embrace continuous learning, creative problem-solving, and a can-do attitude

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification
  • Proven hands-on experience in Python application development
  • Proven hands-on experience developing, debugging and maintaining production applications
  • Solid understanding of software development best practices, including version control, testing, and CI/CD
  • Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
  • Experience working on AIML systems and/or prior experience collaborating with data scientists
  • Track record of designing, building, and delivering maintainable, extensible applications into production environments

Preferred Qualifications, Capabilities, and Skills

  • Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application development
  • Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems.

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