Applied AI ML Lead - Digital Investment Banking

TN United Kingdom; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Vice President in the Applied AI/ML team, where you'll tackle exciting challenges in digital investment banking. Lead a talented team in delivering innovative AI solutions while mentoring the next generation of machine learning professionals. This role offers the chance to shape the technical vision and drive impactful projects that enhance business operations. If you're passionate about AI and eager to make a difference in a collaborative environment, this opportunity is perfect for you.

Qualifications

• Significant experience in Computer Science or related fields.
• Proven track record of managing AI/ML or software development teams.
• Deep knowledge in machine learning and AI.

Responsibilities

• Lead a local AI/ML team and mentor junior associates.
• Deliver AI/ML projects using Agile methodology.
• Collaborate on technical vision and strategic roadmaps.

Skills

Machine Learning

Artificial Intelligence

Python

Data Structures

Statistics

Team Management

Agile Methodology

Cloud Services (AWS)

Education

Computer Science

Data Science

Statistics

Tools

TensorFlow

PyTorch

Keras

Spark

NumPy

SciPy

Job description

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Applied AI ML Lead - Digital Investment Banking, London

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Client:

Location:

London, United Kingdom

Job Category:

Finance

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EU work permit required:

Yes

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Job Reference:

4e4931d5b32b

Job Views:

7

Posted:

26.04.2025

Expiry Date:

10.06.2025

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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:

• 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.
• Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
• 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.
• Work with product and business teams to define goals and roadmaps, maintaining alignment with cross-functional stakeholders.
• Exercise sound technical judgment, anticipate bottlenecks, escalate issues effectively, and balance business needs with technical constraints.
• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and explainable solutions.
• Mentor junior machine learning associates in delivering successful projects and building successful careers within the firm.
• Participate in and contribute to firm-wide machine learning communities through patent filings, publications, and speaking engagements.

Required Qualifications, Capabilities, and Skills:

• Significant experience in Computer Science, Data Science, Information Systems, Statistics, Mathematics, or equivalent fields.
• Proven track record of managing AI/ML or software development teams.
• Experience as a hands-on practitioner developing production AI/ML solutions.
• 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.
• Expertise in at least one of the following areas: Knowledge Graphs, Computer Vision, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Strong understanding of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
• Demonstrated expertise in machine learning frameworks such as TensorFlow, PyTorch, PyG, Keras, MXNet, and Scikit-Learn.
• Strong programming skills in Python and Spark; proficiency in vector operations using NumPy / SciPy; experience with distributed computing using multithreading.
• Familiarity with AWS Cloud services such as EMR and SageMaker.
• 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.
• 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:

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