Applied AI ML Lead Engineer - Customer Onboarding and Documentation

Location: LONDON, LONDON, United Kingdom

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform financial services, and our Predictive Science team is driving innovative solutions for customer onboarding and documentation. As an Applied AI ML Lead Engineer, you will play a pivotal role in developing cutting-edge AI models that automate and enhance the efficiency of customer verification processes, reduce manual documentation efforts, and ensure compliance with stringent banking regulations. Based in our London office, you will lead a team of engineers to build scalable ML pipelines that handle vast amounts of financial data, from KYC checks to contract processing, ultimately improving the client experience in a secure and trustworthy manner. This position offers the opportunity to work on high-impact projects that directly contribute to JP Morgan's global operations, collaborating with experts across technology, risk, and business units to innovate within the dynamic financial landscape. Your responsibilities will span the full AI lifecycle, from researching advanced techniques like NLP for document extraction to deploying robust models in production environments. You will mentor team members, architect solutions that integrate seamlessly with JP Morgan's enterprise systems, and address real-world challenges such as fraud detection and regulatory adherence in customer onboarding. By leveraging tools like TensorFlow and AWS, you will optimize models for performance and scalability, ensuring they meet the firm's rigorous standards for accuracy and explainability. This role demands a blend of technical expertise and strategic thinking, as you translate complex business needs into actionable AI strategies that drive operational excellence. Joining JP Morgan Chase means becoming part of a world-class institution committed to innovation and inclusion. We offer a supportive environment where your contributions can shape the future of banking, with access to top-tier resources and a global network of professionals. If you are passionate about applied AI in finance and ready to lead transformative projects, this is your chance to make a lasting impact on how millions of customers interact with our services.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML solutions to streamline customer onboarding and documentation processes at JP Morgan Chase
• Collaborate with data scientists, engineers, and business stakeholders to identify AI opportunities that enhance efficiency and compliance in financial services
• Build and optimize machine learning models for tasks such as document classification, entity recognition, and automated verification in customer workflows
• Ensure AI solutions adhere to JP Morgan's risk management and regulatory standards, including bias mitigation and explainability
• Mentor junior engineers and foster a culture of innovation within the Predictive Science team
• Integrate AI models into production systems, monitoring performance and iterating based on real-world banking data
• Conduct research on emerging AI technologies to apply to customer onboarding challenges, such as fraud detection and KYC processes
• Partner with global teams to scale AI initiatives across JP Morgan's international operations
• Document technical architectures and contribute to knowledge sharing within the firm

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field
• 5+ years of experience in applied AI/ML engineering, with a focus on financial services or customer-facing applications
• Proven track record of leading AI/ML projects from ideation to production deployment
• Strong proficiency in Python, Java, or Scala for developing scalable ML models
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML workloads
• Knowledge of regulatory compliance in financial services, including data privacy standards like GDPR
• Ability to collaborate with cross-functional teams in a fast-paced banking environment

Preferred Qualifications

• PhD in AI, Machine Learning, or a related field
• Experience in customer onboarding processes within the banking sector
• Familiarity with JP Morgan's internal tools and frameworks for AI development
• Certifications in AI/ML (e.g., AWS Certified Machine Learning or Google Professional ML Engineer)
• Prior work on NLP or document processing models for financial documentation

Required Skills

• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Natural Language Processing (NLP) techniques for document analysis
• Python programming and data manipulation with Pandas and NumPy
• Cloud computing and deployment (AWS SageMaker, Kubernetes)
• Big data technologies (Spark, Hadoop) for handling financial datasets
• Version control and CI/CD pipelines (Git, Jenkins)
• SQL and database management for querying customer data
• Regulatory knowledge in finance (KYC, AML, GDPR)
• Leadership and team management skills
• Problem-solving and analytical thinking
• Communication skills for stakeholder engagement
• Agile methodologies and project management
• Model evaluation and monitoring (A/B testing, drift detection)
• Ethical AI practices and bias detection
• Financial domain expertise in banking operations

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension plan contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities with tuition reimbursement and access to JP Morgan's learning platforms
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers, wellness stipends, and mental health support
• Relocation assistance for international roles in London

JP Morgan Chase is an equal opportunity employer.