Senior Software Engineer

Tuesday 30 December 2025 Hybrid Working About this opportunity

In the Machine Learning as a Service lab, we design, build, and operate the bank's Machine Learning, Data Science, and Analytics platforms. Our work includes software engineering, platform engineering, DevOps, automation, and tooling.

We're a friendly group of people with a huge passion for all things Data and Artificial Intelligence. We come from diverse backgrounds, but we all share a vision of the untapped potential of human and machine intelligence.

We aim to make the bank of the future safer, faster, and more effective. We're realizing a future where machine intelligence alleviates repetitive manual effort and instead provides insight and direction to our colleagues, empowering them to achieve more with less effort.

• What follows is what you might find yourself doing on an average day in our teams, but your experience will depend on the team's needs as well as your own aspirations. Our goal is to help you develop in a way that fulfils you and create an environment where you can do what you enjoy.
• Practice scrum in a small engineering team within our Lab.
• Build scalable software using Python.
• Automate software and infrastructure delivery with technologies like Terraform, Python, Jenkins, Harness, and Cloud Build.
• Build and improve an ML cloud platform on GCP.
• Gain exposure to native Google tooling including GKE, BigQuery, Vertex AI, Cloud Build, and more.
• Build, test, and deploy customised Workbench Instances.
• Support Data Science teams to productionise their models on GCP.
• Innovate by discovering new tools, methods, and approaches.
• Use your knowledge and experience to help shape our overarching strategy.
• Coach other engineers and steer the design of our software.

• Why Lloyds Banking Group
• We’re on an exciting journey and there couldn’t be a better time to join us. The investments we’re making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive
• What you’ll need
  We believe that people don't fit neatly into roles, and we value everyone's individual skills, experience, and knowledge — it's what makes you amazing! So if you have a strong technical background, we'd like to hear from you.
  Specifically we're looking for:
• technical knowledge of DevOps tooling, including continuous integration tooling pipelines and containerisation
• solid knowledge of the Google cloud platform with specific experience in integrating and deploying the Vertex AI components
• experience with GKE, BigQuery, Cloud Build and Harness
• demonstrable knowledge of terraform and Python
• the ability to build strong relationships and demonstrate a passion for solving real-world problems with technology