Do work that matters 

As a Senior Software Engineer in the Data Integration Squad, you will build and operate the core capabilities that enable feature engineering, feature management, data labelling and model lifecycle workflows across the enterprise AI platform. 

You will work closely with Data Scientists, ML Engineers and Platform Engineers to deliver scalable software solutions that support the creation, registration, governance, and consumption of machine learning features and labels. Your work will directly accelerate model development, experimentation, deployment, and monitoring across a growing portfolio of AI and ML use cases. 

See yourself in our team

The Data Integration Squad is responsible for the foundational services and platforms that power machine learning development at scale, including: 

• Feature Engineering frameworks and pipelines 

• Feature Store management using Feast 

• Feature registration, discovery, and governance 

• Label management and annotation workflows using Label Studio 

• Model lifecycle integration and metadata management 

• ML platform services, APIs, and developer tooling 

We are building enterprise-grade software that enables teams across the bank to efficiently develop, train, deploy, and manage machine learning models. 

We’re interested in hearing from people who

• Design and develop scalable feature engineering pipelines

• Develop integrations with Feast Feature Store

• Partner with Data Scientists to operationalise features for model training and inference

• Develop and support data labelling workflows using Label Studio

• Build integrations between annotation platforms, data sources, and ML workflows

• Design APIs and services that enable scalable label management and dataset curation

• Improve data quality, metadata management, and traceability across ML assets

• Support model development, experimentation, and deployment workflows

• Enable model reproducibility through metadata, feature, and dataset versioning

• Work with MLflow and related tooling to support experiment tracking and model governance

• Design, build, and maintain high-quality Python applications and services. 

• Develop REST APIs, microservices, and platform capabilities. 

• Implement automated testing, CI/CD, observability, and operational excellence practices. 

 

Technical Skills

• Strong software engineering background with Python

• Experience building production-grade software platforms and services

• Deep understanding of feature engineering concepts and ML data pipelines

• Experience working with Feature Stores, preferably Feast

• Experience with data labelling platforms, preferably Label Studio

• Good understanding of machine learning concepts, model development, and model lifecycle management

• Experience designing APIs, microservices, and distributed systems

• Strong understanding of software development lifecycle and Agile delivery practices. 

Working with us

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in the office. We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. We really love working here, and we think you will too.

If this sounds like you, apply now!

Advertising End Date: 13/07/2026