Lead Software Engineer – Python, AIML, Cloud

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At J.P. Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to transform the financial services landscape. As a Lead Software Engineer – Python, AIML, Cloud, you will play a pivotal role in our Artificial Intelligence and Machine Learning (AIML) team, driving innovation through the engineering and deployment of cutting-edge Python-based solutions on AWS. Based in our dynamic London office, you will lead initiatives that enhance risk management, fraud detection, algorithmic trading, and customer personalization, all while adhering to the highest standards of regulatory compliance in the global banking sector. This position offers the opportunity to work on high-impact projects that directly influence J.P. Morgan's position as a leader in financial technology. Your core responsibilities will include architecting scalable ML pipelines, collaborating with data scientists and business stakeholders to translate complex financial requirements into robust software solutions, and ensuring seamless integration with J.P. Morgan's enterprise cloud infrastructure. You will mentor a team of engineers, foster a culture of continuous improvement, and innovate with emerging technologies to solve real-world challenges in areas like predictive analytics for market trends and automated compliance monitoring. With a focus on AWS services such as SageMaker for model training and Lambda for serverless execution, you will optimize systems for performance and cost-efficiency in handling petabyte-scale financial datasets. We seek a passionate leader with deep technical expertise in Python, AI/ML, and cloud computing, combined with a solid understanding of the financial industry's unique demands. This role is ideal for someone who thrives in a collaborative, fast-paced environment and is committed to ethical AI practices that build trust in our clients' financial futures. Join J.P. Morgan Chase and contribute to groundbreaking advancements that redefine banking for millions worldwide.

Key Responsibilities

• Lead the design, development, and deployment of Python-based machine learning solutions on AWS to drive innovation in J.P. Morgan's financial services
• Collaborate with cross-functional teams including data scientists, product managers, and compliance experts to integrate AI/ML into core banking applications
• Architect scalable cloud infrastructure using AWS services to support high-volume financial data processing and model training
• Mentor junior engineers and conduct code reviews to ensure best practices in software engineering and ML deployment
• Optimize ML models for performance, accuracy, and efficiency in risk management, fraud detection, and predictive analytics
• Implement robust CI/CD pipelines for automated testing and deployment of AI solutions in a regulated financial environment
• Stay abreast of emerging AI/ML technologies and assess their applicability to J.P. Morgan's business challenges
• Ensure all solutions comply with financial industry standards for data privacy, security, and ethical AI usage
• Contribute to strategic initiatives by prototyping innovative ML applications for trading, customer insights, or operational efficiency

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 5+ years of professional software engineering experience with a focus on Python development
• Proven experience in building and deploying machine learning models in production environments
• Strong knowledge of AWS cloud services including EC2, S3, Lambda, and SageMaker
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Demonstrated ability to lead engineering teams in agile environments
• Understanding of financial services regulations and data security standards (e.g., GDPR, SOX)

Preferred Qualifications

• Master's or PhD in Machine Learning, Data Science, or related discipline
• Experience in financial modeling, risk assessment, or algorithmic trading within banking
• Certifications in AWS (e.g., AWS Certified Machine Learning – Specialty)
• Prior work at a major financial institution on scalable ML pipelines
• Familiarity with big data tools like Apache Spark or Kafka for real-time processing

Required Skills

• Expertise in Python programming and object-oriented design
• Proficiency in AI/ML libraries (TensorFlow, PyTorch, scikit-learn)
• Advanced AWS cloud architecture and deployment (EC2, S3, SageMaker)
• Data processing with Pandas, NumPy, and SQL
• Version control and collaboration using Git and Agile methodologies
• Model optimization techniques including hyperparameter tuning and deployment
• Knowledge of containerization (Docker) and orchestration (Kubernetes)
• Strong problem-solving and analytical skills for complex financial datasets
• Excellent communication and leadership abilities for team guidance
• Understanding of financial domain concepts like risk modeling and compliance
• Experience with big data technologies (Spark, Hadoop)
• Security best practices for cloud and ML applications
• Adaptability to fast-paced, innovative environments
• Ethical AI development and bias mitigation strategies

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 internal training programs
• Employee stock purchase plan and financial wellness resources
• Hybrid work model with flexible hours and wellness stipends
• Global mobility programs and relocation assistance for international roles

JP Morgan Chase is an equal opportunity employer.