Sr Lead AI Platform Engineer

Next Frontier Capital; Glasgow; On-site; GBP 150,000 - 210,000; Full time

Job summary

JPMorgan Chase is seeking a hands-on Platform Engineer at Senior VP level to own the platform, tooling, and infrastructure for production AI/ML services within the IPB Tech AIML team. You will set engineering standards for deployment, scalability, security, and reliability and lead practices that keep services running.

You will mentor engineers, lead cost and performance management, and collaborate across data/AI teams to productionise models, ensuring robust and secure production platforms.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices
• Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns
• Strong CI/CD experience and a track record of building deployment and release automation
• Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)
• Practical experience with observability tooling (metrics, logging, tracing) and production incident response
• Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management)
• Strong communication skills and the ability to set standards other engineers adopt
• Industry-recognised container / Kubernetes certification (e.g., CKAD)
• Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)

Responsibilities

• Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
• Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
• Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
• Implements platform-level security, secrets management, and access controls to firm-wide standards
• Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
• Leads capacity, cost, and performance management for the team's compute and inference workloads
• Mentors platform and DevOps engineers and sets engineering standards through design and code review
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Skills

Python

Infrastructure as Code

Kubernetes

Containerisation

CI/CD

MLOps

LLMOps

Observability

Incident Response

Communication

CKAD

Education

Master's degree in Computer Science or related field

Tools

CKAD

Job description

We're looking for a hands-on platform 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 Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running.

This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech.

Job responsibilities

• Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
• Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
• Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
• Implements platform-level security, secrets management, and access controls to firm-wide standards
• Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
• Leads capacity, cost, and performance management for the team's compute and inference workloads
• Mentors platform and DevOps engineers and sets engineering standards through design and code review
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices
• Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns
• Strong CI/CD experience and a track record of building deployment and release automation
• Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)
• Practical experience with observability tooling (metrics, logging, tracing) and production incident response
• Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management)
• Strong communication skills and the ability to set standards other engineers adopt
• Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)
• Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)

Preferred qualifications, capabilities, and skills

• Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets)
• Experience within financial services technology
• Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure 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.

Promote and evolve our artificial intelligence platform, defining how we deploy, scale, secure, and operate reliable production services.