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- Tasks: Engineer and deploy cloud-based frameworks for machine learning models using Python and AWS.
- Company: Join J.P. Morgan, a leader in innovation and technology.
- Benefits: Competitive salary, career growth, and opportunities for continuous learning.
- Why this job: Shape the future of machine learning and make a real impact.
- Qualifications: Bachelor's degree in Computer Science or related field; hands-on Python experience required.
- Other info: Collaborative environment with a focus on creativity and best practices.
The predicted salary is between 36000 - 60000 £ per year.
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)
Software Engineer III - Python, AIML, Cloud employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer III - Python, AIML, Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at tech meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects and any AI/ML work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects. Practice common technical questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Software Engineer III - Python, AIML, Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, as these are key for the role. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for machine learning and how you can contribute to our innovative team. We love seeing creativity and enthusiasm, so let your personality come through!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using your technical skills. We’re all about continuous learning and innovation, so share how you’ve approached challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on your knowledge of cloud services and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to AI/ML solutions. Think about challenges you've faced and how you overcame them using creative solutions.
✨Engage in Collaborative Discussions
Since collaboration is key, be prepared to discuss how you’ve worked with Data Scientists and other tech teams. Share specific instances where your teamwork led to successful project outcomes.
✨Emphasise Continuous Learning
Demonstrate your commitment to continuous learning by mentioning any recent courses, certifications, or projects. This shows you're proactive and eager to stay updated in a fast-evolving field like machine learning.
