At a Glance
- Tasks: Lead the development of innovative AI solutions that solve real-world problems.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Enjoy competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic team with excellent career advancement opportunities and a commitment to diversity.
- Why this job: Make a real impact by working on cutting-edge technology in a collaborative team.
- Qualifications: Experience in AI/ML, programming skills in Java or Python, and a passion for fintech.
The predicted salary is between 100000 - 150000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.
As a Applied AI ML Lead at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you’ll have the opportunity to move between them.
While we’re looking for professional skills, culture is just as important to us. We understand that everyone’s unique – and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there’s scope for you to make a huge difference – on us as a company, and on our clients and business partners around the world.
Job responsibilities:
- Design and develop scalable, self-service solutions for documentation, SDKs, configurations, and pipelines to enable rapid deployment of GenAI applications and agents.
- Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management.
- Develop systems to monitor model performance and address data and model drift.
- Recommend best practices for model integration and deployment patterns.
- Design and implement effective testing strategies, including unit, component, integration, end-to-end, performance, and champion/challenger tests.
- Ensure platform compliance with data privacy, security, and regulatory standards.
- Mentor team members on platform design principles and best practices.
- Guide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutions.
- Demonstrate proficiency in Java and/or Python programming languages.
- Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain.
- Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications.
Preferred qualifications, capabilities and skills:
- Experience with MLOps tools and platforms such as MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, and Kubeflow.
- Exposure to cloud-native microservices architecture.
- Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP).
- Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets.
- Previous experience deploying and managing ML models.
- Experience working in highly regulated environments or industries.
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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead - Vice President - Accelerator Business (London)
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We think you need these skills to ace Applied AI ML Lead - Vice President - Accelerator Business (London)
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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!
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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!
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