At a Glance
- Tasks: Lead the development of AI/ML platforms and create innovative applications.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Other info: Collaborate with top professionals and drive innovation in tech.
- Why this job: Make an impact with cutting-edge technology in a dynamic environment.
- Qualifications: Experience in software engineering, particularly with Python and AI tools.
The predicted salary is between 80000 - 100000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine Learning Centre of Excellence (MLCoE).
Job responsibilities:
- Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
- Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
- Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
- Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
- Leads evaluation sessions (cross-team) to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Mentors engineers within the team and drives practice across junior engineers in the team, as well as researchers/data scientists as they prototype solutions.
- Adds to team culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts with applied Full stack development experience.
- Practical experience in Infrastructure as Code development, ideally using Terraform.
- Hands-on practical experience in system design, application development, testing, and ensuring operational stability.
- Advanced proficiency in one or more programming languages, with a strong focus on Python.
- Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
- Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
- Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
- Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred qualifications, capabilities, and skills:
- Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
- Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
- Demonstrates initiative in learning and adapting to new technologies and methodologies.
- Experience in/exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers.
- Proven problem-solving skills with a focus on innovation and continuous improvement.
- Excellent communication and collaboration skills to work effectively within cross-functional teams.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python employer: Job Search Place Limited
J.P. Morgan is an exceptional employer, offering a dynamic work environment in the heart of Canary Wharf, London, where innovation meets collaboration. As a Lead Software Engineer, you will benefit from a culture that prioritises diversity, inclusion, and professional growth, alongside access to cutting-edge technology and mentorship opportunities. With a commitment to employee development and a focus on impactful projects in AI/ML, J.P. Morgan provides a rewarding career path for those looking to make a significant contribution in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorgan Chase. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This is your chance to demonstrate your expertise in Python and other relevant technologies. Make sure to highlight any innovative solutions you've developed!
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle technical challenges and discuss how you've approached complex issues in the past. Remember, they want to see your creative thinking in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can tailor your application to highlight how your experience aligns with the role of Lead Software Engineer in AI/ML Data Platforms.
We think you need these skills to ace Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Software Engineer role. Highlight your experience with Python and AI/ML platforms, as well as any relevant projects that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, don’t just list your technical skills. Share specific examples of how you've tackled complex challenges in previous roles. We love seeing creative solutions that go beyond conventional approaches!
Highlight Team Collaboration:Since this role involves working closely with Data Scientists and AI Researchers, emphasise your teamwork and collaboration experiences. Mention any cross-functional projects you've been part of to show you can thrive in a team environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant AI/ML frameworks. Be ready to discuss your past projects in detail, especially those that involved building scalable applications or using Infrastructure as Code. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex technical challenges in the past. Think about times when you had to innovate or streamline processes. This is your chance to demonstrate your creative problem-solving abilities, which are crucial for this role.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's business objectives and how AI/ML fits into their strategy. Being able to articulate how your work can contribute to their goals will set you apart. It shows that you’re not just a techie but also understand the bigger picture.
✨Emphasise Collaboration and Mentorship
Since the role involves working closely with Data Scientists and mentoring junior engineers, be prepared to discuss your experience in collaborative environments. Share examples of how you've helped others grow or how you've worked within cross-functional teams to achieve common goals.