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- Tasks: Shape the future of AI/ML data platforms and mentor innovative teams.
- Company: Join JPMorganChase, a leader in tech innovation and collaboration.
- Benefits: Competitive salary, career advancement, and a culture of growth.
- Other info: Dynamic environment with opportunities for operational stability and strategic change.
- Why this job: Make a real impact in AI/ML while building resilient solutions.
- Qualifications: Expertise in application development and team mentoring required.
The predicted salary is between 80000 - 100000 £ per year.
Join us to shape the future of AI/ML data platforms, where your expertise will help create resilient and market-leading solutions. You will have the opportunity to collaborate with innovators across our global network, driving strategic change and mentoring others. We value your skills in solving complex challenges and fostering a culture of reliability and growth. At JPMorganChase, your impact will reach far beyond your team, opening doors to career advancement and meaningful relationships.
As a Site Reliability Engineer in the AI/ML Data Platforms team, you will play a key role in building scalable and resilient data solutions. You will engage in root cause analysis, production changes, and operational improvements, while supporting budgetary and staffing decisions. You will mentor team members and partner with colleagues across the organization to drive strategic change. Your contributions will help shape a collaborative, innovative, and high-performing team culture.
Job Responsibilities:
- Demonstrate expertise in application development and support across technologies such as Databricks, Snowflake, AWS, and Kubernetes
- Coordinate incident management coverage to ensure effective resolution of application issues
- Collaborate with cross-functional teams to perform root cause analysis and implement production changes
- Develop and support AI/ML solutions for troubleshooting and incident resolution
- Mentor and guide team members to foster growth and drive strategic change
- Build and maintain scalable, resilient, and market-leading data solutions
- Support budgetary and staffing considerations to optimize team performance
- Engage in operational stability and disaster recovery planning
- Implement automation tools to reduce toil and improve efficiency
- Ensure compliance with risk controls and company-wide standards
- Build meaningful relationships across teams to achieve common goals
Senior Lead Software Engineering - AI/ML Engineer | London, UK employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineering - AI/ML Engineer | London, UK
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and the role thoroughly. We suggest practising common interview questions and even some technical challenges related to AI/ML. Confidence is key!
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing real-world applications of your skills, especially in AI/ML solutions.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to make an impact in AI/ML.
We think you need these skills to ace Senior Lead Software Engineering - AI/ML Engineer | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Lead Software Engineering role. Highlight your expertise in AI/ML, application development, and any relevant technologies like Databricks or AWS.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI/ML and how you can contribute to our team. Share specific examples of your past work that demonstrate your problem-solving skills and ability to mentor others.
Showcase Your Collaborative Spirit: We love teamwork! In your application, mention instances where you've successfully collaborated with cross-functional teams. This will show us that you can thrive in our innovative and high-performing culture.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. This way, your application goes directly to us, and we can review it promptly. We can't wait to see what you bring to the table!
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, like Databricks, Snowflake, AWS, and Kubernetes. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex challenges you've tackled, especially in AI/ML contexts. Be ready to explain your thought process during root cause analysis and how you implemented production changes to improve system reliability.
✨Emphasise Mentorship Experience
Since mentoring is a key part of this role, think of specific instances where you've guided team members or contributed to their growth. Share how you fostered a collaborative environment and drove strategic change within your team.
✨Engage with the Company Culture
Research JPMorganChase’s values and culture. Be prepared to discuss how you can contribute to a high-performing team and build meaningful relationships across departments. Show that you’re not just a tech whiz but also a team player who aligns with their mission.