Senior Machine Learning Engineer

Archer is collaborating with HSBC to connect them with exceptional professionals for this role. If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. We’re 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.

As our Senior Machine Learning Engineer you’ll join the Growth AI programme within Corporate. You will communicate trade-offs and recommendations clearly to both technical and non-technical stakeholders. You will contribute to engineering standards and ways of working (code reviews, design reviews, documentation) and help uplift team capability through practical coaching.

To be successful in this role you should meet the following requirements:

• Strong software engineering experience delivering end-to-end services in production (not just notebooks/experiments), with ownership for run/support considerations.
• Proficiency in Python and modern engineering practices (clean code, testing, packaging, dependency management, Git-based workflows).
• 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.
• Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines.
• 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.
• Proficiency with database technologies such as SQL Server or Postgres, etc.
• 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.

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.