Lead Software Engineer - Agentic AI/Machine Learning

J.P. MORGAN; Scotland; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global financial services provider in Scotland seeks a Lead Machine Learning Engineer to spearhead AI initiatives in Risk Technology. The role involves developing multi-agent systems, leading a diverse team, and collaborating across departments to enhance business value. Candidates must hold a relevant degree, have extensive ML engineering experience, and be proficient in Python and AWS. This position offers an opportunity to innovate in asset and wealth management risk.

Qualifications

• Applied experience in Machine Learning Engineering.
• Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.
• Experience with Infrastructure-as-code tools like Terraform.

Responsibilities

• Lead the deployment and scaling of advanced generative AI solutions.
• Conduct and guide research on context and prompt engineering techniques.
• Communicate effectively with both technical and non-technical stakeholders.

Skills

Machine Learning Engineering

Python

AWS

Multi-agent system design

System design

Education

Bachelor's or Master's in Computer Science, Engineering, Data Science

Tools

LangGraph

Terraform

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Machine Learning Engineer, Agentic AI within Risk Technology at JPMorgan Chase, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of software engineering, multi-agent system design and leadership to spearhead the delivery of complex and groundbreaking initiatives that will transform Asset and Wealth Management Risk.

You will be responsible for hands‑on development, and leading and mentoring of a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high‑quality, scalable systems. You will also engage and partner with data science, product and business teams to deliver end‑to‑end solutions that will drive value for the Risk business.

Responsibilities

• Lead the deployment and scaling of advanced generative AI, Agentic AI and classical ML solutions for the Risk Business.
• Lead design and execution of enterprise‑wide reusable AI/ML frameworks and core infrastructure capabilities that will accelerate development of AI solutions.
• Develop multi‑agent systems that provide capabilities for orchestration, agent‑to‑agent communication, memory, telemetry, guardrails, etc.
• Conduct and guide research on context and prompt engineering techniques to improve the performance of prompt‑based models, exploring and utilizing Agentic AI libraries like JPMC's SmartSDK and LangGraph.
• Develop and maintain tools and frameworks for prompt‑based agent evaluation, monitoring and optimisation to ensure high reliability at enterprise scale.
• Build and maintain data pipelines and data processing workflows for scalable and efficient consumption of data.
• Develop secure, high‑quality production code, and provide code reviews.
• Foster productive partnership with Data Science, Product and Business teams to identify requirements and develop solutions to meet business needs.
• Communicate effectively with both technical and non‑technical stakeholders, including senior leadership.
• Provide technical leadership, mentorship and guidance to junior engineers, promoting a culture of excellence, continuous learning, and professional growth.

Required qualifications, capabilities and skills

• Bachelor's degree or Master's in Computer Science, Engineering, Data Science, or related field
• Applied experience in Machine Learning Engineering.
• Strong proficiency in Python and experience deploying end‑to‑end pipelines on AWS.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Hands‑on experience using LangGraph or JPMC's SmartSDK for multi‑agent orchestration.
• Experience with AWS and Infrastructure‑as‑code tools like Terraform.

Preferred Qualifications

• Strategic thinker with the ability to drive technical vision for business impact.
• Demonstrated leadership working effectively with engineers, data scientists, and ML practitioners.
• Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.
• Experience with Agentic telemetry and evaluation services.
• Demonstrated hands‑on experience building and maintaining user interfaces

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognise that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental‑health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.