Job Search and Career Advice Platform

Enable job alerts via email!

Software Engineering III - Python, AIML, Cloud

JPMorgan Chase

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A global financial services firm is seeking a Software Engineer III to join their Applied AI/ML group in London. In this role, you will engineer and deploy cloud-based frameworks for machine learning models to ensure production readiness. Candidates should have a Bachelor's degree in Computer Science or a related field, along with hands-on experience in Python and knowledge of AWS. Strong problem-solving skills and a commitment to innovation are essential. Join a dynamic team that emphasizes continuous learning and collaboration.

Qualifications

  • Formal training or certification in infrastructure engineering concepts.
  • Experience developing, debugging, and maintaining production applications.
  • Understanding of software development best practices.

Responsibilities

  • Develop and maintain applications using Python and AWS.
  • Create architecture and design artifacts.
  • Integrate AI/ML solutions into operations.

Skills

Python application development
Problem-solving
Collaboration skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS
Kubernetes
Docker
Postgres
Job description

Join us to shape the future of machine learning at J.P. Morgan, where your expertise in AWS and Python will help deliver impactful solutions. You'll collaborate with talented Data Scientists and technology teams, working on projects that push the boundaries of what’s possible. We value your creativity, drive for continuous learning, and commitment to excellence. Here, you’ll find opportunities for career growth and the chance to make a real difference. Be part of a team that thrives on innovation and collaboration.

As a Software Engineer III at JPMorgan Chase within the Applied AI/ML group, you will engineer and deploy cloud‑based frameworks for hosting machine learning models. You will work closely with Data Scientists and technology teams to ensure models are production‑ready and meet software development lifecycle standards. Your role involves leveraging both internal and external cloud platforms, integrating new and existing technologies, and contributing to a dynamic engineering community. You will help promote the adoption of best practices and foster a culture of innovation.

Job Responsibilities
  • Develop and maintain secure, high‑quality applications using Python and AWS
  • Create architecture and design artifacts
  • Integrate AI/ML solutions into complex operations processing systems
  • Participate in code reviews, design discussions, and agile planning sessions
  • Collaborate with SRE and production monitoring teams to ensure reliability and performance
  • Contribute to engineering communities of practice and technology events
  • Embrace continuous learning and creative problem‑solving
Required Qualifications, Capabilities, and Skills
  • Formal training or certification on infrastructure engineering concepts and expanding applied experience
  • Bachelor’s degree or higher in Computer Science, Engineering, or related field, or equivalent formal training/certification
  • Hands‑on experience in Python application development
  • Experience developing, debugging, and maintaining production applications
  • Understanding of software development best practices, including version control, testing, and CI/CD
  • Strong problem‑solving, communication, and collaboration skills
Preferred Qualifications, Capabilities, and Skills
  • Experience with cloud services, Infrastructure as Code (IaC), and containerized application development
  • Familiarity with relational databases (such as Postgres) and AWS services including S3, EKS, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, and Large Language Models
  • Familiarity with Machine Learning Operations (MLOps)

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.