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- Tasks: Lead AI/ML projects to revolutionise cloud migration and optimise business decisions.
- Company: Join JPMorgan's innovative Infrastructure Platform team.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Why this job: Make a real impact in financial services using advanced AI techniques.
- Qualifications: Degree in Computer Science or related field; experience in machine learning engineering.
- Other info: Dynamic role with opportunities for mentorship and collaboration across teams.
The predicted salary is between 36000 - 60000 £ 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 – 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 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.
- Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP).
Applied AI/ML Lead - Intelligent Cloud Migration in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and practising common questions. 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 about their job search.
We think you need these skills to ace Applied AI/ML Lead - Intelligent Cloud Migration in London
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you’ve engaged with these technologies in the past and how you envision using them to revolutionise cloud migration at JPMorgan.
Tailor Your Experience: Make sure to highlight your relevant experience in machine learning engineering and any projects that align with the job description. We’re looking for specific examples of how you’ve applied your skills in real-world scenarios, especially in cloud environments.
Keep It Clear and Concise: While we love detail, clarity is key! Use straightforward language and avoid jargon where possible. We want to understand your technical expertise without getting lost in complex terminology.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure they get to the right people. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI techniques, especially generative and agentic AI. Brush up on your knowledge of statistical machine learning and be ready to discuss how these can be applied to cloud migration. Prepare examples from your past work that showcase your expertise in these areas.
✨Showcase Your Technical Leadership
Since this role involves leading technical initiatives, be prepared to share your experiences in mentoring junior engineers and driving projects. Highlight specific instances where your leadership made a significant impact on project outcomes or team dynamics.
✨Demonstrate Your Problem-Solving Skills
Think of real-world problems you've solved using AI/ML solutions. Be ready to walk through your thought process, from identifying the problem to implementing a solution. This will show your ability to apply theoretical knowledge to practical challenges.
✨Communicate Clearly with All Stakeholders
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of your ideas. Consider preparing a few key points that illustrate how your work has benefited business decisions in the past.
