At a Glance
- Tasks: Shape the future of tech by delivering impactful AI/ML projects using Agile methodology.
- Company: Join JPMorganChase, a leader in innovative technology and collaborative culture.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on emerging technologies and career advancement.
- Why this job: Make a real difference with cutting-edge AI/ML technologies and creative problem-solving.
- Qualifications: Experience in software engineering and hands-on AI/ML development required.
The predicted salary is between 63000 - 77000 £ per year.
Join us to shape the future of technology through AI and machine learning. You will have the opportunity to deliver projects that make a real difference, collaborate with talented teams, and grow your expertise in cutting-edge frameworks. We value your creativity and technical skills, empowering you to solve complex challenges. At JPMorganChase, your contributions help us build smarter, more resilient systems. Discover a workplace where your ideas and growth matter.
As an AI/ML Software Engineer in our team, you will deliver AI/ML projects through the full development life cycle using Agile methodology. You will transform business requirements into technical specifications, define milestones, and ensure timely delivery. You will create secure, high-quality production code and maintain algorithms that integrate seamlessly with our systems. Your role includes producing architecture and design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies.
Job Responsibilities:
- Deliver AI/ML projects through the ML development life cycle using Agile methodology
- Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery
- Execute solutions, design, development, and technical troubleshooting with innovative approaches
- Create secure and high-quality production code, maintaining algorithms that run synchronously with systems
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets
- Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture
- Contribute to software engineering communities of practice and events exploring new and emerging technologies
Required Qualifications, Capabilities, and Skills:
- Formal training or certification in software engineering concepts
- Experience as a hands-on practitioner developing production AI/ML solutions
- Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT
- Deep knowledge and experience in machine learning and artificial intelligence
- Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis
- Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
- Understanding of machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn
- Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars
- Familiarity with AWS Cloud services such as EMR, Sagemaker
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies including CI/CD, application resiliency, and security
Preferred Qualifications, Capabilities, and Skills:
- Exposure to cloud technologies
Software Engineer III - AI Engineering in London employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - AI Engineering 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 JPMorgan Chase & Co. 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 JPMorgan Chase & Co..
✨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 JPMorgan Chase & Co..
✨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 JPMorgan Chase & Co. 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 - AI Engineering 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 JPMorgan Chase & Co..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorgan Chase & Co. 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 JPMorgan Chase & Co.
✨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 JPMorgan Chase & Co. 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.
