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# Applied AI ML Lead - Senior Data Scientist

- **Company:** JPMorgan Chase & Co.
- **Location:** Christchurch, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Cloud Computing, Database Applications, Software Debugging, Information Retrieval, Machine Learning, Data Mesh, Search Technologies, Design of Telemetry/logging Agents, Data Processing, Multi-Agent Systems, Kubernetes, Information Technology
- **Published:** October 5, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/applied-ai-ml-lead-senior-data-scientist/50418364

## About the Role

impactful AI and data-driven applications using cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights.Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption.Communicate analytical findings and recommendations to senior leadership.Required Qualifications, Capabilities, and SkillsExperience in data science, analytics or a related field.Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.Experience with A/B experimentation and the ability to develop and debug production-quality code.Strong written and verbal communication skills, with the ability to convey technical concepts
and results to both technical and business audiences.Scientific mindset with the ability to innovate and work both independently and collaboratively within a team.Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations.Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration.Preferred Qualifications, Capabilities, and SkillsAdvanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred. #J-18808-Ljbffr

## Description

that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment.Job ResponsibilitiesDemonstrate proficiency in the end-to-end model development lifecycle, including planning, execution, continuous improvement, risk management, and ensuring solutions are scalable and aligned with business objectives.Design and implement multi-agent systems, including orchestration layers that coordinate specialized agents, manage task routing, and integrate human-in-the-loop (HITL) controls.Implement robust drift monitoring and model retraining processes to maintain accuracy and performance through ongoing performance monitoring.Define and implement evaluation frameworks for AI/agentic systems, including prompt quality, agent performance, and business outcome metrics.Collaborate with senior leaders to re-engineer processes by embedding AI into current workflows, driving change and efficiency.Design, build, and deploy