Job Summary

Overview
We are seeking a technically strong Machine Learning Engineer to develop and operationalize data-driven and AI-driven solutions. The role requires hands-on engineering capability across model development, data pipelines, and production deployment, with the ability to work in cross-functional teams and deliver reliable ML systems at scale.

Key Responsibilities
•    Assist in building and evaluating machine learning models using Python and standard ML libraries.
•    Support data preparation activities, including data cleaning, feature engineering, and exploratory analysis.
•    Implement model training scripts, experiment tracking, and basic ML pipelines under guidance.
•    Contribute to deploying models into test or production environments using cloud services, APIs, or containerized workflows.
•    Participate in code reviews, documentation updates, and adherence to engineering best practices.
•    Conduct research and coding on new ML/GenAI techniques, frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex) and APIs (e.g., GPT, Claude)
•    Collaborate with data engineers, product teams, and domain experts to translate requirements into deployable ML solutions.
•    Integrate models into production environments (e.g., Kubernetes, Docker, cloud platforms) and ensure performance, reliability, and observability.
•    Conduct model diagnostics, bias and drift analysis, and apply MLOps/LLMOps best practices.
•    Maintain clear documentation, coding standards, and reproducibility across the ML lifecycle.

Preferred Attributes
•    Experience with monitoring and observability tools for ML and GenAI systems.
•    Knowledge of Responsible AI, model governance, and compliance in regulated industries.
•    Ability to work in fast-paced environments and deliver production-grade solutions with high ownership.

Key Responsibilities

Strategy
•    Awareness and understanding of the Group's AI strategy and model appropriate to the role.

Business
•    Awareness and understanding of how the AI/GenAI models operating in the Group 

Processes 
•    Responsible for developing some business-oriented Machine Learning models

Risk Management 
•    The ability to interpret the Machine Learning models, identify key issues and put in place appropriate model controls and measures.

Governance 
•    Identify key Responsible AI related to the models developed

Regulatory & Business Conduct
•    Display exemplary conduct and live by the Group’s Values and Code of Conduct. 
•    Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
•    Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders
•    Sustainable Finance

Qualifications

•    Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical field.
•    Strong programming skills in Python and familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and GenAI APIs/tools.
•    Understanding of supervised/unsupervised learning, model evaluation, and statistical concepts.
•    Hands-on experience with SQL and data manipulation.
•    Familiarity with Git, APIs, and containerization concepts (Docker is a plus).
•    Good communication skills and willingness to learn from senior team members.

Skills and Experience

•    Data Science
•    (large) Data processing
•    Data Analytics
•    Programming skills, e.g., Python
•    ML/DL frameworks, e.g., Scikit-learn, XGboost, Torch, Tensorflow
•    Cloud
•    Production deployment
•    API
•    ESG

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.