At a Glance
- Tasks: Join an agile team to design and deliver innovative tech solutions in Cloud and AIML.
- Company: JPMorgan Chase, a leader in financial services with a focus on technology.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Embrace a culture of diversity and inclusion while advancing your career.
- Why this job: Make a real impact by working on cutting-edge AI/ML projects in a dynamic environment.
- Qualifications: Experience in software engineering, preferably with Python and Cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud‑native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands‑on engineering role. Experience with data science/ML modelling is advantageous but not essential.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Creates secure and high‑quality production code and maintains algorithms that run synchronously with appropriate systems.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps.
- Designs and implements data engineering solutions, leveraging modern big data technologies.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- Embraces a passion for learning, problem‑solving, creative thinking and a can‑do attitude.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience.
- Hands‑on practical experience in system design, application development, testing, and operational stability.
- Proficient in coding in one or more languages, preferably Python.
- Familiarity with Cloud Data engineering services and MLOps/LLM technologies.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Overall knowledge of the Software Development Life Cycle.
- Proven track record in system design, architecting and developing microservices, distributed systems and data‑intensive applications.
- Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies.
- Practical experience developing Production‑scale Cloud‑native data engineering solutions in commercial environments.
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds.
- Adopts AI and agentic software development lifecycle.
Preferred qualifications, capabilities, and skills
- Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector.
- Experience working on recommendation systems, LLM applications or other AI/ML systems.
- Practical experience with Kubernetes, EKS, Docker, MLOps.
- Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases.
- Prior experience collaborating with data scientists.
Equal Opportunity Statement
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.
Software Engineer III - Python, Cloud, Data, AIML in London employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Software Engineer III, you will not only engage in cutting-edge technology projects but also benefit from extensive professional development opportunities and a collaborative culture that values diverse perspectives. Located in a vibrant financial hub, our team is dedicated to pushing the boundaries of technology while supporting your career growth in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - Python, Cloud, Data, AIML in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at J.P. Morgan or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to J.P. Morgan.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like J.P. Morgan.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like J.P. Morgan that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer III - Python, Cloud, Data, AIML in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at J.P. Morgan.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at J.P. Morgan and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If J.P. Morgan uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
