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- Tasks: Build innovative AI/ML solutions and collaborate with top engineers and data scientists.
- Company: Join JPMorgan Chase, a leader in tech innovation and collaboration.
- Benefits: Competitive salary, health benefits, remote work options, and skill development opportunities.
- Why this job: Shape the future of AI technology and make a real impact on global projects.
- Qualifications: Experience in software development, cloud infrastructure, and API design.
- Other info: Dynamic team environment with excellent growth potential and focus on technical excellence.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about building innovative technology that powers AI and machine learning across a global organization? As part of our team, you’ll help shape the future of model deployment at scale, collaborating with talented engineers and data scientists. You’ll have the opportunity to work on impactful projects, grow your skills, and contribute to a platform that drives real business outcomes. We value creativity, collaboration, and a commitment to excellence.
As a Software Engineer at JPMorgan Chase in the Firmwide AI/ML Deployment Platform team, you will design and develop cloud-native solutions that support model deployment across the organization. You will work closely with data scientists and engineers to deliver features that streamline production workflows. Your contributions will help scale our platform to meet the needs of diverse internal clients, ensuring reliability and innovation. You will be part of a collaborative environment focused on continuous improvement and technical excellence.
Job Responsibilities- Build and deploy infrastructure solutions for seamless integration of control plane and client accounts
- Develop and implement APIs for platform functionalities such as automated retraining, scheduling, endpoint deployments, and autoscaling
- Design robust features to support a growing internal customer base, including multi-region and disaster recovery capabilities
- Architect and implement model monitoring solutions, with emphasis on LLM monitoring and automated issue correction
- Engage with clients to identify strategic solutions and provide deployment and debugging support
- Assist in implementing platform capabilities aligned with product requirements
- Deploy infrastructure and develop managed environments for platform operations
- Knowledge of AWS services and cloud-based infrastructure
- Experience building resilient software platforms
- Proficiency in architecting software solutions at scale
- Ability to design solutions with strategic insight
- Familiarity with monitoring tools, especially for AI/ML model monitoring and proficiency in Golang
- Experience with AWS Sagemaker for model training and deployment
- Familiarity with Kubernetes and managing deployments to EKS
- Knowledge of networking concepts such as Virtual Private Clouds and DNS
- Experience working with LLMs
- Experience with Terraform or other Infrastructure as Code tools
- Experience in API development and design
Software Engineer III - AI/ML Platforms 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 Engineer III - AI/ML Platforms in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI/ML. Attend meetups or webinars to meet potential colleagues and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to cloud-native solutions or AI/ML. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AWS services. Practice common algorithms and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate Software Engineers who want to make an impact. Your next big opportunity could be just a click away!
We think you need these skills to ace Software Engineer III - AI/ML Platforms in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about building innovative technology and shaping the future of model deployment!
Tailor Your Experience: Make sure to highlight your relevant experience with AWS services, cloud-native solutions, and software platforms. We’re looking for specific examples that demonstrate your skills in architecting solutions at scale.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our team. Remember, we want to understand your contributions easily!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services and cloud-based infrastructure. Brush up on your knowledge of APIs, Kubernetes, and Terraform, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed resilient software platforms or implemented monitoring solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Impact
Be ready to explain how your technical contributions can drive real business outcomes. Think about how your work with AI/ML can streamline production workflows and support internal clients, and be prepared to share your insights.
✨Engage in Collaborative Discussion
Since the role involves working closely with data scientists and engineers, demonstrate your collaborative spirit. Ask insightful questions about their current projects and express your enthusiasm for contributing to a team-focused environment.
