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- Tasks: Engineer and deploy innovative ML solutions using Python and AWS.
- Company: Join JPMorgan Chase's dynamic Applied AI/ML group.
- Benefits: Competitive salary, health benefits, and opportunities for continuous learning.
- Why this job: Make a real impact in the world of Machine Learning and cloud technology.
- Qualifications: Bachelor's degree in Computer Science or related field; Python experience required.
- Other info: Collaborative environment with excellent career growth and tech events.
The predicted salary is between 36000 - 60000 £ per year.
As a Software Engineer II at JPMorgan Chase within the Applied AI/ML group, we are seeking someone 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
- Integrate AIML solutions into complex, domain-specific operations processing systems
- Participate in 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
- 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
- Familiarity with Machine Learning Operations (MLOps)
- Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development
- Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock
- Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)
- Experience working on AIML systems and/or prior experience collaborating with data scientists
Software Engineer II - Python, AIML, Cloud in London employer: J.P. Morgan
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer II - Python, AIML, Cloud in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Applied AI/ML group or related tech teams at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Python projects or cloud solutions, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your coding skills and be ready to tackle some real-world problems. Practising with mock interviews can help you feel more confident when it’s showtime.
✨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 the team.
We think you need these skills to ace Software Engineer II - Python, AIML, Cloud in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, as these are key skills for the role. We want to see how your background aligns 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 team. We love seeing enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in software development or machine learning. We’re looking for creative problem-solvers, so share those moments that demonstrate your skills and thought process!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at J.P. Morgan
✨Know Your Tech Stack
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 machine learning. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and other tech teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to code reviews or agile planning sessions, as this demonstrates your teamwork abilities.
✨Understand MLOps and CI/CD
Familiarise yourself with Machine Learning Operations and Continuous Integration/Continuous Deployment practices. Be ready to discuss how you've implemented these in previous roles, as it’s crucial for ensuring that models are production-ready and can be deployed efficiently.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current projects or challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to demonstrate your problem-solving mindset!
