Applied AI/ML Lead - Intelligent Cloud Migration

Applied AI/ML Lead - Intelligent Cloud Migration

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI/ML projects to transform cloud migration and optimise business decisions.
  • Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Other info: Dynamic team environment with mentorship opportunities and a commitment to diversity.
  • Why this job: Be at the forefront of AI technology and make a real impact in financial services.
  • Qualifications: Degree in Computer Science or related field; experience in machine learning engineering required.

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.
  • 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 infrastructure‑as‑code tools such as Terraform.
  • Experience in multi‑agent 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 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.

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 employer: Fairygodboss

J.P. Morgan is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As an Applied AI/ML Lead, you will not only have the chance to work with cutting-edge technologies but also benefit from a culture that prioritises diversity, inclusion, and continuous learning. With ample opportunities for professional growth and mentorship, you'll be part of a team that values your contributions and supports your career advancement in the rapidly evolving field of AI within financial services.

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Contact Details:

Fairygodboss Recruitment 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 or GitHub repo 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 practising common technical questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

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, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Applied AI/ML Lead - Intelligent Cloud Migration

Machine Learning Engineering
Python
AWS
End-to-End Pipeline Deployment
System Design
Application Development
GitHub Copilot Customisation

Some tips for your application 🫡

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 don’t 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, you’ll need to explain complex concepts to both technical and non-technical folks. Use clear, concise language in your application to demonstrate your ability to communicate effectively across different audiences.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!

How to prepare for a job interview at Fairygodboss

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, as this will show your technical depth and relevance to the role.

Showcase Your Leadership Skills

Since this is a leadership position, prepare examples of how you've led teams or projects in the past. Highlight your experience mentoring junior engineers and driving technical vision, as this will demonstrate your ability to guide others and contribute to a culture of excellence.

Prepare for Technical Questions

Expect to dive deep into technical discussions during the interview. Brush up on Python, AWS, and MLOps practices. Be ready to explain your approach to system design and application development, as well as how you ensure operational stability in your projects.

Communicate Clearly

You'll need to convey complex technical concepts to both technical and non-technical stakeholders. Practice explaining your past projects and their impact in simple terms. This will help you stand out as someone who can bridge the gap between tech and business.