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- Tasks: Develop and maintain high-quality applications using Python and AWS for machine learning solutions.
- Company: Join JPMorgan Chase, a leader in innovation and technology.
- Benefits: Competitive salary, career growth opportunities, and a culture of continuous learning.
- Why this job: Shape the future of AI/ML and make a real impact with your skills.
- Qualifications: Bachelor’s degree in Computer Science or related field and hands-on Python experience.
- Other info: Collaborative environment with dynamic engineering communities and tech events.
The predicted salary is between 36000 - 60000 £ per year.
Join us to shape the future of machine learning at 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
- 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
- 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 Engineering III - Python, AI ML, Cloud in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering III - Python, AI ML, Cloud in London
✨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 portfolio showcasing your Python projects, especially those involving AI/ML and cloud solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or online platforms.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Software Engineering III - Python, AI ML, Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your Python and AWS expertise, as well as any relevant projects you've worked on in AI/ML.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how your background makes you a great fit for our team. Don't forget to mention your commitment to continuous learning and innovation!
Showcase Your Projects: If you've worked on any cloud-based frameworks or AI/ML solutions, be sure to include them in your application. We love seeing real-world examples of your work and how you've integrated new technologies.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to AI/ML. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about challenges you've faced in software development or cloud integration and how you overcame them. This will highlight your creativity and commitment to continuous learning.
✨Collaborate Like a Pro
Since this role involves working closely with Data Scientists and tech teams, be ready to discuss your experience in collaborative environments. Share instances where you contributed to team discussions, code reviews, or agile planning sessions to demonstrate your teamwork skills.
✨Embrace the Culture of Innovation
Familiarise yourself with the latest trends in AI/ML and cloud technologies. During the interview, express your enthusiasm for innovation and how you’ve contributed to engineering communities or tech events. This will resonate well with their focus on fostering a culture of creativity.
