JPMorgan Compliance Risk Management Lead – Vice President 

United Kingdom, England, London 

513618913

Job responsibilities

• Work alongside existing product teams leveraging AI technologies to enhance the customer experience, drive efficiencies and build innovative automation across the entire database product line.
• Provide engineering leadership to educate existing teams how they should be using AI effectively, growing our ability to leverage AI technology across the organization.
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge of application, data, cloud and infrastructure architecture disciplines.
• Advanced hands-on skills in Python programming.
• Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
• Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
• Ability to work on tasks and projects through to completion with limited supervision.
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.

Preferred qualifications, capabilities, and skills

• Excellent problem-solving and analytical skills
• Hands on experience working with database technologies
• Experience building, deploying Machine Learning models, and the ML Lifecycle
• Exposure to cloud technologies