At a Glance
- Tasks: Design and deliver cutting-edge AI solutions that transform banking operations.
- Company: Join J.P. Morgan, a global leader in financial services and innovation.
- Benefits: Career growth, mentorship, and the chance to work on impactful projects.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional development.
- Why this job: Shape the future of AI and make a real impact in the banking industry.
- Qualifications: Experience in machine learning engineering and a degree in a quantitative field.
The predicted salary is between 63000 - 77000 £ per year.
Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.
We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.
As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.
Job Responsibilities:- Design and deliver enterprise-grade machine learning systems
- Collaborate with cloud and SRE teams to build robust production architectures
- Translate scientific research into scalable ML solutions
- Develop and deploy business-critical, data-intensive applications
- Implement distributed, multi-threaded, and scalable applications
- Build, test, and deploy automated pipelines for ML solutions
- Leverage foundational libraries and services for re-use across teams
- Apply best practices in software engineering and computer science
- Utilize MLOps tools for versioning, reproducibility, and observability
- Align ML problem definitions with business objectives
- Mentor and support team members, with optional management responsibilities
- Experience in machine learning engineering roles
- Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
- Proven ability to develop and deploy business-critical, data-intensive applications
- Extensive experience with AWS and Kubernetes
- Proficiency with lower-level libraries such as PyTorch and NumPy
- Hands-on experience implementing distributed, multi-threaded, and scalable applications
- Experience with automated building, testing, and deployment pipelines
- Familiarity with higher-level interfaces like Pydantic AI and Langraph
- Strong understanding of computer science fundamentals and development best practices
- Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
- Ability to understand business objectives and align ML problem definitions
- Experience mentoring or leading teams
- Knowledge of agentic AI concepts
- Experience designing reusable libraries and services
- Interest in bridging scientific theory and enterprise-grade systems
- Passion for innovation and continuous learning
Why Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.
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.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Drive innovation by designing and delivering enterprise-grade AI solutions that transform banking operations.
Machine Learning Engineering & Applied AI ML Lead - Vice President employer: Next Frontier Capital
Next Frontier Capital is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the EMEA Energy sector. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to lead high-impact M&A and capital markets transactions in a dynamic environment. Join us to be part of a team that values strong leadership and proactive engagement, ensuring meaningful contributions to the energy landscape.
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We think this is how you could land Machine Learning Engineering & Applied AI ML Lead - Vice President
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We think you need these skills to ace Machine Learning Engineering & Applied AI ML Lead - Vice President
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
