Applied AIML Lead - Agentic AI & Python

Next Frontier Capital; Glasgow; On-site; GBP 120,000 - 170,000; Full time

Job summary

J.P. Morgan is seeking a hands-on Senior AI Engineer to join the IPB Technology AIML team.

You will translate business problems into production-grade AI/ML solutions, delivering trusted tools for advisors and clients across international markets. Responsibilities include end-to-end delivery of AI/ML use cases, building agentic AI and LLM-powered products, establishing Responsible AI controls, and collaborating with IPB business stakeholders.

Qualifications

• Formal training or certification on AI/ML engineering concepts and applied experience
• Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control)
• Hands-on experience building, evaluating, and deploying machine learning models into production
• Experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworks
• Practical experience with CI/CD, containerisation, and cloud-native deployment patterns
• Master's degree in a quantitative field (or equivalent applied experience)

Responsibilities

• Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact
• Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets
• Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers
• Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards
• Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams
• Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design
• Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Skills

Python

CI/CD

LLMs

Cloud

AI tools

Communication

Education

Master's degree

Tools

Databricks

Kubernetes

GitHub Copilot

Job description

We're looking for a hands-on senior AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.

As a Senior AI Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact.

You will be responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.

Job responsibilities

• Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact
• Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets
• Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers
• Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards
• Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams
• Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design
• Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML engineering concepts and applied experience
• Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control)
• Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day software development, with the judgement to know when to lean on them and when not to
• Hands-on experience building, evaluating, and deploying machine learning models into production
• Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworks
• Practical experience with CI/CD, containerisation, and cloud-native deployment patterns
• Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems
• Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences
• Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines
• Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)

Preferred qualifications, capabilities, and skills

• Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
• Experience within financial services technology, particularly wealth, private banking, or asset management
• Experience with Databricks, Kubernetes, or comparable ML / cloud platforms
• Experience designing or contributing to AI governance, model validation, or guardrail frameworks
• Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates

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 recognize 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, color, 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.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Lead artificial intelligence solutions from idea to launch, delivering impactful tools for private bank stakeholders in a focused team