Senior Machine Learning Engineer

End Date

Friday 09 October 2026

£72,702 - £80,780

Bristol, Chester or Manchester

Full time, 35 hours per week

Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers.

Being part of the Consumer Data Science team will allow you to gain insight into how the business functions and supports its customers. You will encounter a diverse range of projects, coworkers, and technologies, assisting the team in generating value from machine learning. As the team grows, the role will keep changing.

We want to hear from applicants who are driven, inquisitive, eager to learn, and open to exploring new work methods. Candidates should have a strong background in large-scale applications and data platforms.

Develop and maintain machine learning systems in Python alongside data scientists and other machine learning engineers. Take projects from experimentation through to production, including design and integration with other systems such as continuous integration and continuous delivery tools, application programming interfaces, and Dynatrace.

Engage with collaborators across business and technical teams to understand requirements and influence decision-making. Propose, evaluate and advocate for technology, platform and architecture choices in line with Lloyds Banking Group guidelines.

Drive excellent engineering standards, consistency and culture across the team through technical leadership and knowledge sharing. Play a leading role in incident management and resolution, working closely with the strategic platform team and business partners. Proactively find opportunities to improve solutions and present clear plans to deliver them.

Provide results aligned with data science, model governance, and risk management policies and procedures, sustaining positive connections with specialized colleagues within these domains.

You’ll join a diverse, energising and informal environment focused on equal opportunity and career progression. The role offers the opportunity to work flexibly and collaboratively, while contributing to machine learning solutions that support the Consumer business and its customers. We take personal and professional development seriously and will support you to make a positive difference to the team and Lloyds Banking Group as a whole.

• Advanced understanding of software engineering best practice, programming concepts, automated testing, continuous integration and continuous delivery, and production deployments.
• Commercial experience using key Python libraries for machine learning, such as Pandas, Scikit-learn and XGBoost.
• Proven development experience with cloud services, data stores and architectures, such as Vertex AI, Big Query and Cloud Run.
• Hands-on experience with machine learning operations tooling and frameworks used with large datasets, such as Kubeflow Pipelines and dbt, including an understanding of production monitoring.
• Experience with Infrastructure as Code, including Terraform, Kubernetes, application programming interface authentication flows and networking.
• Experience collaborating with central platform,…