Software Engineer III - MLOps

Location: LONDON, LONDON, United Kingdom

Job Family: Data Engineering

About the Role

At JPMorgan Chase, we are at the forefront of transforming digital banking through innovative AI and machine learning solutions. As a Software Engineer III - MLOps in our Data Engineering team, you will play a pivotal role in shaping the future of customer experiences by building robust, scalable platforms that deploy and manage ML models efficiently. Based in our London office, you will contribute to high-impact projects that enhance fraud detection, personalized financial advice, and seamless digital interactions for millions of clients worldwide. This role demands a blend of technical expertise and domain knowledge in financial services, ensuring all solutions meet stringent regulatory standards while driving business value. Your primary focus will be on developing end-to-end MLOps pipelines that automate the lifecycle of AI models, from training to inference and monitoring. You will work closely with data scientists, product managers, and compliance teams to integrate cutting-edge ML technologies into JPMorgan's secure infrastructure. Responsibilities include optimizing cloud-based deployments for performance and cost-efficiency, implementing automated testing and validation to mitigate risks in a high-stakes banking environment, and leveraging tools like Kubernetes and MLflow to ensure model reliability. By fostering a culture of innovation, you will help accelerate the adoption of AI in areas like risk assessment and customer personalization, all while adhering to global regulations such as GDPR and internal JPMorgan policies. This position offers an exciting opportunity to grow within one of the world's leading financial institutions, where your contributions directly impact customer trust and operational excellence. We value engineers who thrive in collaborative, agile settings and are passionate about ethical AI practices. Join us to pioneer the next generation of digital banking solutions that empower clients and redefine the industry.

Key Responsibilities

• Design, develop, and deploy scalable MLOps pipelines to support AI/ML models for digital banking applications
• Collaborate with data scientists and engineers to integrate machine learning models into production environments at JPMorgan Chase
• Implement monitoring and observability tools to ensure model performance, reliability, and compliance with financial regulations
• Optimize infrastructure for AI/ML workloads, leveraging cloud services to handle high-volume banking data securely
• Drive automation in model training, validation, and deployment processes to enhance efficiency in customer-facing solutions
• Conduct code reviews, testing, and troubleshooting to maintain high standards of software quality in a regulated industry
• Partner with cross-functional teams, including risk and compliance, to align MLOps practices with JPMorgan's security protocols
• Stay abreast of emerging MLOps technologies and contribute to innovation in AI-driven financial services
• Document processes and mentor junior engineers on best practices for scalable AI solutions
• Ensure all solutions adhere to data privacy laws and ethical AI guidelines in banking

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 5+ years of experience in software engineering with a focus on AI/ML or data engineering
• Proven experience in MLOps practices, including model deployment, monitoring, and lifecycle management
• Strong programming skills in Python, Java, or Scala, with experience in cloud platforms like AWS or Azure
• Knowledge of financial services regulations such as GDPR, PCI-DSS, and risk management in banking
• Experience with containerization tools like Docker and orchestration with Kubernetes
• Ability to work in a fast-paced, regulated environment with cross-functional teams

Preferred Qualifications

• Master's or PhD in Machine Learning, Data Science, or related discipline
• Experience in building AI/ML solutions for financial services, such as fraud detection or personalized banking
• Familiarity with JPMorgan Chase's technology stack, including internal tools for secure data handling
• Certifications in cloud (e.g., AWS Certified Machine Learning) or DevOps (e.g., CKAD)
• Prior experience in agile methodologies and CI/CD pipelines tailored to financial compliance

Required Skills

• Proficiency in Python for ML model development and scripting
• Expertise in MLOps frameworks like Kubeflow, MLflow, or Airflow
• Strong knowledge of cloud computing (AWS, GCP, or Azure) for scalable deployments
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Terraform
• Familiarity with containerization (Docker) and orchestration (Kubernetes)
• Understanding of data pipelines using Apache Spark or Kafka
• Skills in model monitoring and versioning with tools like Prometheus or Weights & Biases
• Knowledge of secure coding practices and compliance in financial services
• Analytical problem-solving and debugging abilities
• Effective communication for collaborating with stakeholders
• Agile development methodologies and version control with Git
• Experience with big data technologies like Hadoop or SQL/NoSQL databases
• Adaptability to evolving AI/ML trends in banking
• Team collaboration and leadership in cross-functional projects
• Attention to detail for ensuring regulatory adherence

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities, including tuition reimbursement and access to JPMorgan's learning platforms
• Employee stock purchase plan and financial wellness programs
• Hybrid work model with flexibility for work-life balance in London
• Global mobility support and networking events within JPMorgan Chase

JP Morgan Chase is an equal opportunity employer.