Job Summary

•    Design, build and operate secure, reliable and scalable machine learning and Generative AI platforms across the model lifecycle. 
•    Enable data science and engineering teams to move models from experimentation to controlled production through automation, reusable standards and self-service capabilities. 
•    Embed observability, resilience, security, risk controls, cost efficiency and auditability into ML and AI services to protect business outcomes. 

Key Responsibilities

Platform Engineering and Automation
•    Engineer reusable CI/CD and CT pipelines for model, prompt, configuration and infrastructure releases, including automated testing, approval gates, versioning and rollback.
•    Build and maintain containerised workloads, orchestration patterns, model serving components, registries and environment promotion processes using infrastructure as code.
•    Develop standard templates and paved-road capabilities that accelerate delivery while reducing operational variation.

Production Reliability and Operations
•    Operate production ML and GenAI services against agreed availability, latency, throughput and recovery objectives.
•    Implement telemetry for infrastructure, data, model and application health, including alerting, incident response, root-cause analysis and continuous reliability improvement.
•    Plan capacity and optimise compute, storage, accelerator and inference costs without compromising service quality or controls.

Technical Leadership and Collaboration
•    Act as an individual contributor with technical leadership responsibility, setting engineering standards, reviewing designs and code, mentoring colleagues and improving team capability.
•    Work with product and business stakeholders to translate service objectives into prioritised platform capabilities and measurable operational outcomes.

People and Talent
•    Set direction and drive high performance by translating strategy into clear direction, aligning individual goals to team outcomes and providing regular, constructive feedback.
•    Develop talent and capability through coaching and career conversations that build critical skills, stretch potential and prepare individuals for future opportunities.
•    Lead by example by role-modelling the Bank’s valued behaviours, upholding strong risk and conduct standards, exercising sound judgment, and creating an inclusive team culture that supports wellbeing, values diverse perspectives, and drives accountability.

Skills and Experience

Must-have Skills
•    MLOps and model lifecycle engineering, Python
•    Cloud, Kubernetes and platform engineering
•    DevSecOps, CI/CD and infrastructure as code

Langchain , Langgraph 

Other Skills
•    ML/GenAI observability and evaluation
•    Programming and automation: Python, SQL and APIs
•    Security, risk, governance and auditability
•    Stakeholder collaboration and technical leadership

Qualifications

•    Hands-on delivery of production ML or GenAI services; software or platform engineering; CI/CD and infrastructure as code; cloud and Kubernetes operations; observability, incident management and controlled release processes.
•    Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, Data/AI or a related discipline. Cloud, Kubernetes or DevOps certification is desirable but not mandatory.
•    Professional proficiency in English. Additional languages are based on business and location requirements.

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.