Senior Machine Learning Engineer

Hybrid in London·Added 3 months ago (last checked 30 Oct)

HSBC

172 open roles

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Our summary

Work mode: Hybrid, London
Experience: Senior level

Skills

Requirements

What we're looking for

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.

Pay & benefits

What you'll get

As an HSBC employee in the UK, you'll have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

The 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.

We're currently seeking an experienced professional to join our team in the role of Senior Machine Learning Engineer.

As our Senior Machine Learning Engineer you'll join the Growth AI programme within Corporate & Institutional Banking (CIB) Data & Analytics. Growth AI is a key pillar of the Insights and Analytics space within CIB Data & Analytics. Our focus is to develop AI applications that identify new business opportunities, identify risks of client attrition, and enhance our collective capabilities to serve our customers.

What you'll do

In this role you will:

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 (performance, resilience, cost, security) 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

Additional information

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

Hiring process

2 steps1 interviewa task to do

Submit your CV
Online assessments
Online test
You can take the assessments at any time within a fixed number of days given in the email; the number and type depend on the role.
Interviews
30–60 min
Telephone, on-demand video, live video or in-person interviews; live, telephone and in-person interviews last approximately 30-60 minutes depending on the role.

About HSBC

HSBC is one of the world's largest banking and financial services organisations, founded in 1865. It serves millions of customers through its four global businesses.

Customers the world over know and trust HSBC, often over generations, valuing its deep international network, expertise, and focus on their future needs.

Industry: Banking
Founded: 1865
Headquarters: London, United Kingdom

In their own words

Additional information

Opening up a world of 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.

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