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- Tasks: Design and deploy scalable AI/ML solutions for innovative banking experiences.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for career growth.
- Why this job: Shape the future of banking with cutting-edge technology and a collaborative team.
- Qualifications: Experience in software engineering, especially with AI/ML and cloud technologies.
- Other info: Be part of a dynamic team that values your ideas and promotes inclusivity.
The predicted salary is between 48000 - 84000 £ per year.
You will be part of a diverse, inclusive, and geographically distributed team, focused on delivering secure and intelligent banking.
Responsibilities
- Deliver end-to-end cloud-native microservices and data pipelines using modern technologies and best practices.
- Structure software for clarity, testability, and ease of evolution.
- Build scalable solutions that avoid single points of failure.
- Develop secure code to protect customers and the organization.
- Investigate and resolve issues promptly to prevent recurrence.
- Ensure zero-downtime releases for end-users.
- Monitor model and system performance, identifying and solving problems effectively.
- Build reliable, easy-to-operate systems.
- Continuously update and upgrade technologies and patterns.
- Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management.
- Ensure compliance and security in AI/ML solution deployment and operation.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and proficient advanced experience.
- Recent hands-on experience as a back-end software engineer, especially with customer-facing, LLM-powered microservices.
- Proficiency in Java and Python programming languages.
- Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance).
- Excellent written and verbal communication skills in English.
- Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation, agentic system architectures, and Model Context Protocol.
- Strong interest in building generative AI applications and tooling.
- Experience with cloud technologies, distributed systems, RESTful APIs, and web technologies.
- Understanding of event-based architecture, data streaming, and messaging frameworks.
- Proficiency in operating, supporting, and securing mission-critical software applications.
- Understanding of various data stores (relational, non-relational, vector).
- Ability to mentor team members on coding practices, design principles, and implementation patterns.
- Ability to manage stakeholders and prioritize deliverables across multiple work streams.
Preferred Qualifications, Capabilities, and Skills:
- Background in STEM with exposure to productionising machine learning systems.
- Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize).
- Proficiency in cloud-native microservices architecture.
- Hands-on experience with Amazon Web Services (AWS).
- Previous experience as a Platform engineer.
- Experience working in highly regulated environments or industries.
About Us
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.
About the Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Job Summary:
As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer-focused systems. Your work will enable us to leverage foundational AI and machine learning models to enhance our services.
Lead Software Engineer - MLOps in City of Westminster employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - MLOps in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to MLOps and AI/ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨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, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Lead Software Engineer - MLOps in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your proficiency in Java and Python, as well as any hands-on experience with MLOps tools. 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 aligns with our mission at StudySmarter. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. This gives us a better idea of your coding style and problem-solving skills, which are super important for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
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 Java and Python. Brush up on your experience with cloud-native microservices and MLOps tools like MLflow or Amazon SageMaker. Being able to discuss specific projects where you've used these technologies will show your hands-on expertise.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly around building scalable solutions and ensuring zero-downtime releases. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to follow your thought process.
✨Showcase Your Communication Skills
Since excellent written and verbal communication is key, practice explaining complex technical concepts in simple terms. You might be asked to explain your approach to mentoring team members or managing stakeholders, so think of examples that highlight your ability to communicate effectively across different audiences.
✨Stay Updated on AI/ML Trends
Given the focus on AI/ML in this role, be prepared to discuss recent advancements in the field, such as Retrieval-Augmented Generation or agentic system architectures. Showing your enthusiasm for generative AI applications and tooling can set you apart as a candidate who’s not just qualified but also passionate about the industry.
