AI ML Lead Software Engineer - Chief Data & Analytics Office

ZipRecruiter; England; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in financial services is seeking an AI ML Lead Software Engineer. This role involves building scalable AI systems, collaborating with various teams, and enhancing ML solutions. Candidates should have extensive experience with Python and cloud technologies and must possess strong communication skills.

Qualifications

• Master's degree in a related field.
• 6+ years as a backend or AI/ML software engineer.
• Strong understanding of ML deployment workflows and APIs.

Responsibilities

• Architect and develop scalable Python-based systems for ML-driven classification.
• Integrate ML models into microservices for AI Judge workflows.
• Mentor junior engineers and uphold engineering excellence.

Skills

Python

Machine Learning

AI

Collaboration

Education

Master's degree in computer science

Tools

AWS

Docker

Kubernetes

Job description

Job Description

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase and be part of a team that accelerates the firm's data and analytics journey. We focus on ensuring data quality and security while leveraging insights to promote decision-making and support commercial goals through AI and machine learning.

As an AI ML Lead Software Engineer within the Chief Data & Analytics Office, you will become part of a mission to modernize compliance through scalable and explainable AI. We are building a system that answers the question: “Can I use this data?”, not with guesswork, but with prediction/classification, logic, proof, and intelligent automation.

Our work sits at the intersection of applied machine learning, AI reasoning systems, and data governance. We are designing the triage layer of an intelligent decision engine that combines ML-driven classification, LLM-assisted parsing, and formal logic-based verification. This is an opportunity to tackle complex, ambiguous problems that touch every part of the firm's data ecosystem and to build ML solutions that actually make decisions.

Job Responsibilities:

• Architect and develop scalable Python-based systems that support ML-driven risk classification, tagging, and approval triage
• Integrate ML models into microservices and APIs for use within AI Judge workflows
• Lead engineering design reviews, establish coding standards, and ensure system robustness and security
• Build and maintain feature pipelines and model-serving infrastructure using cloud- tools
• Work closely with ML scientists, data engineers, and product managers to align on requirements and delivery timelines
• Drive engineering quality, CI/CD integration, observability, and unit testing for AI-enabled software components
• Mentor junior engineers and uphold engineering excellence across the team

Required Qualifications, Capabilities, and Skills:

• Master's degree in computer science, Software Engineering, or related field
• 6+ years of experience as a backend or AI/ML software engineer
• Proficiency in Python with deep experience in building distributed and containerized services (e.g., Flask/FastAPI, Docker, Kubernetes)
• Strong understanding of ML deployment workflows, feature engineering, and serving architectures
• Experience building and deploying APIs and ML inference services in production
• Familiarity with ML model management, versioning, and performance monitoring
• Strong engineering fundamentals: data structures, system design, testing, and performance optimization
• Excellent communication and collaboration skills across technical and non-technical teams

Qualifications, Capabilities, and Skills:

• Experience with AWS cloud stack (S3, SageMaker, Lambda, ECS, etc.)
• Experience working with structured data, tabular models, and metadata-driven platforms
• Experience with regulated data systems, enterprise controls, or secure data processing workflows
• Contributions to open-source ML or backend tooling frameworks

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.