Applied AI ML Associate - Machine Learning Scientist - Machine Learning for Technology

JPMorgan Chase & Co.; London; On-site; GBP 60,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Specialist, where you'll leverage innovative techniques to tackle business-critical challenges. Your expertise in machine learning and deep learning will contribute to groundbreaking projects that enhance operational efficiency. Collaborate with diverse teams to deploy state-of-the-art models, and engage in continuous research to explore new methodologies. This role offers a unique opportunity to make a significant impact in the financial sector, driving the application of advanced technologies in a dynamic environment. If you're passionate about solving complex problems and advancing your career in AI, this is the perfect opportunity for you.

Qualifications

• PhD or MS in quantitative fields with hands-on ML experience required.
• Strong knowledge of ML/DL methods and toolkits like TensorFlow and PyTorch.

Responsibilities

• Research and develop innovative machine learning methods and models.
• Collaborate to deploy solutions and drive firmwide ML initiatives.

Skills

Machine Learning

Deep Learning

Data Mining

Text Understanding

Anomaly Detection

Generative AI

Scientific Thinking

Problem Solving

Communication Skills

Collaboration

Education

PhD in a quantitative discipline

MS with industry or research experience

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Job description

Job Description

Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office.

As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely with stakeholders to execute projects that support the growth of the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with business, technologists, and control partners to deploy solutions into production. Additionally, your responsibilities will include researching new methods, developing models, and contributing to reusable code and components.

Job Responsibilities:

1. Research and explore new machine learning methods through independent study, attending conferences, and experimentation.
2. Develop state-of-the-art machine learning models to solve real-world problems in Cybersecurity, Software, and Technology Infrastructure.
3. Collaborate with partner teams to deploy solutions into production.
4. Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models.
5. Contribute to reusable code and components shared internally and externally.

Required Qualifications, Capabilities, and Skills:

1. PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with industry or research experience.
2. Hands-on experience and solid understanding of machine learning and deep learning methods.
3. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
4. Scientific thinking and the ability to invent.
5. Ability to design experiments and training frameworks, and evaluate metrics for model performance aligned with business goals.
6. Experience with big data and scalable model training.
7. Solid written and spoken communication to effectively communicate technical concepts and results.
8. Curious, hardworking, detail-oriented, and motivated by complex analytical problems.
9. Ability to work both independently and in collaborative team environments.

Preferred Qualifications, Capabilities, and Skills:

1. Experience with A/B experimentation and data/metric-driven product development.
2. Experience with cloud-native deployment in a large-scale distributed environment.
3. Knowledge of large language models (LLMs) and accompanying toolsets (e.g., Langchain, Vector databases, open-source Hugging Face Models).
4. Knowledge in Reinforcement Learning or Meta Learning.
5. Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal.
6. Ability to develop and debug production-quality code.
7. Familiarity with continuous integration models and unit test development.

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. 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.