Applied AI ML Lead - Digital Investment Banking

JPMorgan Chase & Co.; London; On-site; GBP 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Vice President to lead their Applied AI/ML team in London. This role offers the opportunity to drive AI innovation and deliver impactful projects while mentoring a talented team. You will collaborate on technical vision, execute strategic roadmaps, and contribute to firm-wide machine learning communities. Ideal candidates will possess extensive experience in AI/ML, strong programming skills, and a passion for fostering an inclusive culture. Join a dynamic environment that values innovation and teamwork, and make a significant impact on global business initiatives.

Qualifications

• Significant experience in Computer Science, Data Science, or equivalent fields.
• Proven track record of managing AI/ML or software development teams.

Responsibilities

• Lead a local AI/ML team, ensuring accountability and engagement.
• Deliver AI/ML projects using Agile methodology and ensure timely delivery.

Skills

Machine Learning

Artificial Intelligence

Team Management

Data Science

Statistical Analysis

Problem Solving

Agile Methodology

Communication Skills

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

TensorFlow

PyTorch

Keras

Spark

AWS

Job description

Job Description

Are you ready to tackle exciting business challenges and drive AI innovation at JPMorgan Chase? Join our Applied AI/ML team as a Vice President, where you'll lead a local team and collaborate on impactful global business initiatives. Apply your expertise to deliver AI/ML projects, mentor team members, and contribute to firm-wide machine learning communities.

As a Vice President in the Applied AI/ML team, you will lead a local team, collaborate on setting the technical vision, and execute strategic roadmaps to drive AI innovation. Your role involves delivering AI/ML projects, transforming business requirements into specifications, and ensuring timely delivery. You will mentor junior associates, participate in machine learning communities, and foster an inclusive culture with a growth mindset.

Job Responsibilities:

1. Lead a local AI/ML team, ensuring accountability and engagement within a global organization. Mentor and guide team members, fostering an inclusive culture with a growth mindset.
2. Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
3. Deliver AI/ML projects through our ML development life cycle using Agile methodology. Transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
4. Work with product and business teams to define goals and roadmaps, maintaining alignment with cross-functional stakeholders.
5. Exercise sound technical judgment, anticipate bottlenecks, escalate issues effectively, and balance business needs with technical constraints.
6. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and explainable solutions.
7. Mentor junior machine learning associates in delivering successful projects and building successful careers within the firm.
8. Participate in and contribute to firm-wide machine learning communities through patent filings, publications, and speaking engagements.

Required Qualifications, Capabilities, and Skills:

1. Significant experience in Computer Science, Data Science, Information Systems, Statistics, Mathematics, or equivalent fields.
2. Proven track record of managing AI/ML or software development teams.
3. Experience as a hands-on practitioner developing production AI/ML solutions.
4. Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality, and design effective hypotheses and metrics.
5. Expertise in at least one of the following areas: Knowledge Graphs, Computer Vision, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
6. Strong understanding of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
7. Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, PyG, Keras, MXNet, and Scikit-Learn.
8. Strong programming skills in Python and Spark; proficiency in vector operations using NumPy / SciPy; experience with distributed computing using multithreading.
9. Familiarity with AWS Cloud services such as EMR and SageMaker.
10. Strong people management and team-building skills. Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent. Ability to build a diverse, inclusive, and high-performing team.
11. Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication, solid negotiation skills, and strong leadership.

Preferred Qualifications, Capabilities, and Skills:

1. Experience in the financial services industry.
2. Familiarity with AI/ML concepts and applications.