Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Senior Machine Learning Engineer, you will join the Growth AI programme within Corporate & Institutional Banking (CIB) Data & Analytics. Your focus will be to develop AI applications that identify new business opportunities, mitigate client attrition risks, and enhance customer service capabilities.

Responsibilities

• Design, build, deploy, and operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases.
• Productionise PoC/PoV work into hardened solutions with clear non-functional requirements and defined service ownership.
• Build and maintain MLOps/LLMOps pipelines (CI/CD, automated testing, packaging, promotion/rollback, model/version management) to enable repeatable releases.
• Develop reusable engineering assets (libraries, templates, reference architectures, infrastructure-as-code patterns) to reduce technical debt and accelerate delivery.
• Implement observability for AI services (logging/metrics/tracing), model performance monitoring, and quality/drift checks with actionable alerting.
• Partner with data scientists, data engineers, platform teams, and governance/risk stakeholders to ensure end-to-end delivery meets control, auditability, and documentation expectations.
• Translate business requirements into technical designs; communicate trade-offs and recommendations clearly to both technical and non-technical stakeholders.
• Contribute to engineering standards and ways of working (code reviews, design reviews, documentation) and help uplift team capability through practical coaching.

Requirements

• Strong software engineering experience delivering end-to-end services in production, with ownership for run/support considerations.
• Hands-on experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference).
• Practical MLOps experience: CI/CD for ML, model packaging and release management, automated validation, monitoring, and lifecycle management.
• Experience working with complex, multi-layered datasets (including imbalanced data) and integrating data pipelines into AI services.
• Hands-on experience building and deploying web APIs using libraries such as Flask or FastAPI.
• Strong stakeholder communication skills: able to explain technical designs, risks, and operational considerations to wide-ranging audiences.
• Good organisational skills and delivery discipline (prioritisation, time management, working across multiple initiatives).
• Proven track record designing, deploying and operating production ML/GenAI services in cloud environments, understanding the operational realities vs on-prem (security, networking, scaling, resilience and cost management).
• Hands on experience building agentic LLM systems, including RAG workflows, tool/function calling and orchestration, and integrating external APIs and enterprise data sources to improve business operations with appropriate guardrails and evaluation.

Skills

• Python
• Modern engineering practices (clean code, testing, packaging, dependency management, Git-based workflows)
• AI deployment patterns and infrastructure
• MLOps/LLMOps
• ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem)
• Database technologies (e.g. SQL Server or Postgres)
• Web API development (e.g. Flask or FastAPI)
• Cloud environments
• Agentic LLM systems
• RAG workflows
• Tool/function calling and orchestration

Location

• UK

Work Type

• Full-time

Experience Level

• Senior
• Experienced

Benefits

• Tailored professional development opportunities
• Competitive pay and benefits package
• Private healthcare for all UK-based employees
• Enhanced maternity and adoption pay and support
• Contributory pension scheme with a generous employer contribution

About the Company

• HSBC is one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories.
• We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions.

Equal Opportunity

• Being open to different points of view is important for our business and the communities we serve. At HSBC, we're dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio-economic background or age.
• We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best.
• We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
• If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via hsbc.recruitment@hsbc.com.