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- Tasks: Shape the future of AI/ML data platforms and mentor innovative teams.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for career advancement.
- Other info: Dynamic environment with a focus on diversity and inclusion.
- Why this job: Make a real impact in AI/ML while collaborating with top innovators.
- Qualifications: Experience in software development, site reliability, and AI/ML solutions.
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.
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.
Required Qualifications, Capabilities, And Skills
- Proficient in site reliability culture and principles, with experience implementing site reliability within applications or platforms.
- Skilled in running production incident calls and managing incident resolution.
- Experienced in observability, including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
- Strong understanding of SLI/SLO/SLA and Error Budgets.
- Proficient in Python or PySpark for AI/ML modeling.
- Able to reduce toil by building automation tools for repeated tasks.
- Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery.
- Awareness of risk controls and compliance with departmental and company-wide standards.
- Collaborative team player with the ability to build meaningful relationships.
Preferred Qualifications, Capabilities, And Skills
- Experience in an SRE or production support role with AWS Cloud, Databricks, Snowflake, or similar technologies.
- AWS and Databricks certifications.
- Advanced knowledge of AI/ML troubleshooting and incident resolution.
- Familiarity with budgetary and staffing optimization.
- Experience mentoring and guiding team members.
- Strong communication and interpersonal skills.
- Demonstrated ability to drive strategic change across teams.
Senior Lead Software Engineering - AI/ML Engineer in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineering - AI/ML Engineer in London
✨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 get you in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in AI/ML. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We want to see how you tackle complex challenges and implement solutions, so make sure to highlight your best stuff.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Lead Software Engineering - AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI/ML technologies like Databricks and AWS. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing candidates who can demonstrate their ability to drive strategic change and foster a culture of reliability.
Highlight Your Mentoring Experience: Since mentoring is a key part of this role, share any experiences you have in guiding team members or leading projects. We value collaboration and want to know how you can help others grow within our team.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Snowflake, AWS, and Kubernetes. Brush up on your Python or PySpark skills, especially for AI/ML modelling, as you’ll likely be asked to demonstrate your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex challenges, particularly in incident management and application support. Highlight your experience with observability tools like Grafana or Splunk, and how you’ve used them to improve operational stability.
✨Emphasise Collaboration and Mentorship
Since the role involves mentoring others and collaborating across teams, be ready to share experiences where you’ve successfully guided team members or worked with cross-functional teams. This will show that you can foster a culture of growth and reliability.
✨Understand the Bigger Picture
Familiarise yourself with the company’s values and how they align with your own. Be prepared to discuss how your skills can contribute to strategic change and operational excellence at JPMorganChase, demonstrating that you’re not just looking for a job, but a place to make a real impact.