At a Glance
- Tasks: Lead AI/ML projects to optimise business decisions and automate processes in cloud migration.
- 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: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact by advancing AI technology in the financial sector.
- Qualifications: Degree in Computer Science or related field; experience in machine learning engineering required.
The predicted salary is between 70000 - 90000 £ per year.
Job Description hackajob is collaborating with J. P. Morgan to connect them with exceptional professionals for this role.
JOB DESCRIPTION
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.
ABOUT US
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.
Visit our
FAQs for more information about requesting an accommodation.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI/ML Lead - Intelligent Cloud Migration (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI/ML Lead - Intelligent Cloud Migration (London) at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI/ML Lead - Intelligent Cloud Migration (London) at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied AI/ML Lead - Intelligent Cloud Migration (London)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨Prepare for Case Studies
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.
