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- Tasks: Lead AI/ML projects to optimise business decisions and automate processes in financial services.
- Company: Join JPMorgan's innovative Infrastructure Platform team.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic role with mentorship opportunities and a culture of continuous learning.
- Why this job: Make a real impact by revolutionising cloud migration with advanced AI techniques.
- Qualifications: Degree in Computer Science or related field; experience in machine learning engineering required.
The predicted salary is between 80000 - 100000 £ per year.
As an Applied AI / ML Lead – Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art 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 AI-powered products and services and increasing opportunity for re-use 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 enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.
- Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails.
- Apply context and prompt engineering techniques to improve prompt-based model performance.
- Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale.
- Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.
- Write secure, high-quality 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 non-technical 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 end-to-end pipelines on AWS.
- Hands-on experience in system design, application development, testing, and operational stability.
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 in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP).
- Experience with AWS and infrastructure-as-code tools such as Terraform.
- Experience in multi-agent orchestration.
- Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.
- Experience with agentic telemetry and evaluation services.
Applied AI/ML Lead - Intelligent Cloud Migration employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI/ML Lead - Intelligent Cloud Migration
✨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 aren’t even advertised yet.
✨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.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and ML. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Applied AI/ML Lead - Intelligent Cloud Migration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your expertise in AI/ML, especially any hands-on experience with Python and AWS, as these are key for this role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the Applied AI/ML Lead position. Don’t forget to mention any leadership experiences or projects that showcase your strategic thinking.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in generative AI and multi-agent systems.
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around generative AI and agentic AI. Be ready to discuss how these technologies can be applied to financial services and cloud migration. Having specific examples from your past work will really help you stand out.
✨Showcase Your Technical Skills
Since this role requires strong proficiency in Python and experience with AWS, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects involving end-to-end pipelines. Practice explaining your thought process clearly and concisely.
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to both technical and non-technical stakeholders. Practice simplifying your explanations without losing the essence of your ideas. Think about how you would present your work to senior leadership and be ready to adapt your communication style.
✨Be a Team Player
This role involves collaboration with various teams, so highlight your experience working with engineers, data scientists, and product teams. Share examples of how you've led projects or mentored others, and emphasise your ability to foster a culture of excellence and continuous learning within a team.