Applied AI/ML Lead: Platform & GenAI Acceleration

JPMorgan Chase & Co.; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied ML and Generative Lead to design, build, and run production-grade ML and GenAI services. You will set technical direction, remain close to code, and ensure enterprise-grade security and reliability.

You will mentor engineers, collaborate with AI teams, and drive scalable AI adoption across multiple workstreams while staying at the forefront of AI engineering advancements.

Qualifications

• Proven delivery of LLM-enabled applications using agentic patterns, including tool use, orchestration, guardrails, and structured outputs.
• Hands-on experience building and operating MCP integrations reliably in production.
• Hands-on experience on data-driven software/systems engineering with production services in secure environments.
• Expertise in Python engineering, including production-grade design, testing, debugging, and performance tuning.
• Advanced prompt engineering capabilities, including system prompts, few-shot prompting, tool/function calling, and schema-constrained outputs.
• Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering.
• Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques.
• Experience building and scaling AI/ML workloads using distributed training/serving frameworks and GPU acceleration.
• Proficiency with modern AI system architectures and patterns, including RAG and multi-agent systems.
• Familiarity with LLM evaluation methodologies across quality, safety, and reliability.

Responsibilities

• Provide hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production.
• Collaborate with product managers, data scientists, ML engineers, and stakeholders to understand requirements.
• Develop secure, testable services that integrate LLMs, tool use, RAG, and agentic workflows.
• Build end-to-end RAG/Agentic pipelines: chunking, indexing, retrieval tuning, re-ranking, grounding checks.
• Implement optimization strategies to fine-tune generative models for NLP use cases.
• Mentor engineers through design reviews and code reviews, improving delivery discipline.
• Implement monitoring to track AI solution performance and ensure reliability and security.
• Communicate AI capabilities and results to technical and non-technical audiences.
• Stay updated on AI trends, implement cutting-edge techniques, and leverage external APIs.

Skills

LLM-enabled apps

Agentic AI systems

Python engineering

Prompt engineering

RAG pipelines

Distributed training

GPU acceleration

Ray

CUDA

JSON Schema

Security/compliance

Leadership

Tools

Ray

CUDA

JSON Schema

Job description

JPMorgan Chase & Co. is seeking an Applied ML and Generative Lead to design, build, and run production-grade ML and GenAI services. You will set technical direction, remain close to code, and ensure enterprise-grade security and reliability.

You will mentor engineers, collaborate with AI teams, and drive scalable AI adoption across multiple workstreams while staying at the forefront of AI engineering advancements.