At a Glance
- Tasks: Lead the development of AI/ML applications and collaborate with data scientists.
- Company: Join JPMorgan Chase, a leader in innovative technology solutions.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Embrace a dynamic environment that values diversity and inclusion.
- Why this job: Make a real impact by pushing the boundaries of AI technology.
- Qualifications: Experience in software engineering, Python, and cloud technologies required.
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, and highly optimised production‑grade apps.
- Develops and writes software applications for AI/ML platforms as well as building generative AI based applications including agents.
- Utilises 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.
We recognise 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, colour, 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. Visit our FAQs for more information about requesting an accommodation.
Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Software Engineer in our AI/ML Data Platforms team, you will not only work with cutting-edge technology but also have access to extensive professional development opportunities and a diverse, inclusive work environment. Our commitment to employee growth and well-being, combined with the chance to make a significant impact in the financial sector, makes this an exciting place to advance your career.
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! Reach out to current employees at JPMorgan Chase on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or coding challenges related to AI/ML. This not only sharpens your skills but also gets you noticed by recruiters looking for hands-on experience.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and be ready to discuss your past projects. We recommend practicing common technical questions and scenarios that relate to the job description to really impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the team at JPMorgan Chase.
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 CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any relevant AI/ML projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background makes you a perfect fit for the Lead Software Engineer role. Let us know what excites you about working with us!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex technical challenges in the past. We love creative problem solvers who think outside the box, so don't hold back on those innovative solutions you've implemented!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at JPMorganChase
✨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 your technical depth and how you can contribute to the team.
✨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 innovated or streamlined processes. This will demonstrate your creative problem-solving abilities, which are crucial for the role.
✨Emphasise Collaboration and Mentorship
Since this role involves working closely with Data Scientists and mentoring junior engineers, be ready to discuss your experience in collaborative environments. Highlight any instances where you've led teams or contributed to a positive team culture, as this aligns with the company's values.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in AI and machine learning, especially tools that enhance productivity. Being able to discuss these topics will not only show your passion for the field but also your initiative in staying updated, which is highly valued in this role.