At a Glance
- Tasks: Lead AI/ML projects to optimise cloud migration and automate processes.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Revolutionise business decisions with cutting-edge AI techniques.
- Qualifications: Degree in Computer Science or related field; experience in machine learning engineering.
- Other info: Be part of a dynamic team driving innovation in financial services.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Take a technical leadership position within JPMorgan's Infrastructure Platform, where you'll harness cutting-edge AI techniques to revolutionize business decisions and workflow for cloud migration. As an Applied AI / ML Lead â Vice President â Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cuttingâedge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the stateâofâtheâart in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions.
We have a growing portfolio of AIâpowered products and services and increasing opportunity for reâuse of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor.
Job Responsibilities
- Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions.
- Design and execute enterpriseâwide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.
- Design and develop multiâagent systems for orchestration, agentâtoâagent communication, eval, memory, telemetry, and guardrails.
- Apply context and prompt engineering techniques to improve promptâbased model performance.
- Develop and maintain tools and frameworks for promptâbased agent evaluation, monitoring, and optimization at enterprise scale.
- Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.
- Write secure, highâquality production code and conduct code reviews.
- Partner with Engineering, Product, and Business teams to identify requirements and develop solutions.
- Communicate technical concepts and results to both technical and nonâtechnical stakeholders, including senior leadership.
- Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.
Required Qualifications, Capabilities, and Skills
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Experience in machine learning engineering.
- Strong proficiency in Python and experience deploying endâtoâend pipelines on AWS.
- Handsâon experience in system design, application development, testing, and operational stability.
- Experience in customising and optimising GitHub Copilot using VSCode Extension or Model Context Protocol (MCP).
Preferred Qualifications, Capabilities, and Skills
- Strategic thinker with the ability to drive technical vision for business impact.
- Demonstrated leadership working with engineers, data scientists, and ML practitioners.
- Experience with AWS and infrastructureâasâcode tools such as Terraform.
- Experience in multiâagent orchestration using SmartSDK.
- Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.
- Experience with agentic telemetry and evaluation services.
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 firstâclass business in a firstâclass way approach to serving clients drives everything we do. We strive to build trusted, longâterm 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 equalâopportunity 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.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Applied AI/ML Lead - Intelligent Cloud Migration in London employer: Fairygodboss
Contact Detail:
Fairygodboss Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Applied AI/ML Lead - Intelligent Cloud Migration in London
â¨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that arenât even advertised yet.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This is your chance to demonstrate what you can do beyond just a CV.
â¨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining us.
We think you need these skills to ace Applied AI/ML Lead - Intelligent Cloud Migration in London
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI/ML and cloud migration. We want to see how your skills align with the role, so donât hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since this role is all about technical leadership, be sure to emphasise your proficiency in Python and any experience you have with AWS. We love seeing hands-on examples of your work, so include links to your GitHub or any relevant projects.
Communicate Clearly: Remember, youâll need to explain complex concepts to both technical and non-technical folks. Use clear language in your application to demonstrate your ability to communicate effectively. We appreciate clarity just as much as technical prowess!
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, itâs super easy!
How to prepare for a job interview at Fairygodboss
â¨Know Your AI/ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially generative AI and agentic AI. Be ready to discuss how these technologies can be applied to cloud migration and financial services.
â¨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and AWS. Have examples ready of end-to-end pipelines you've deployed and any experience with MLOps practices. This will show that you can hit the ground running.
â¨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with both technical and non-technical stakeholders, so being able to break down your ideas is crucial.
â¨Be a Team Player
Highlight your experience working collaboratively with engineers, data scientists, and product teams. Discuss how you've provided mentorship or leadership in past roles, as this will resonate well with their focus on teamwork and culture.