Senior ML Engineer — Hybrid, Production ML for Banking

Lloyds Banking Group; Chester; Hybrid; GBP 73,000 - 81,000; Full time

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Job summary

Lloyds Banking Group is seeking a Senior Machine Learning Engineer to build and maintain production ML solutions for the Consumer business. You will work with data scientists and other ML engineers to develop scalable Python-based ML systems and drive production readiness through CI/CD and platform integrations.

The role is hybrid, with 2 days per week on-site at one of the office sites and a focus on strong software engineering practices, model governance, and collaboration with business

Qualifications

• Advanced understanding of software engineering best practice and CI/CD.
• Experience with Python libraries for ML (Pandas, Scikit-learn, XGBoost).
• Experience with cloud services and data stores (Vertex AI, BigQuery, Cloud Run).
• Hands-on with MLOps tooling (Kubeflow Pipelines, dbt) and production monitoring.

Responsibilities

• Build and maintain ML solutions in production for the Consumer Data Science team.
• Develop ML systems in Python with data scientists and ML engineers.
• Lead design decisions and integrate with CI/CD tools and APIs.

Skills

Python

Machine Learning

CI/CD

Software engineering

Cloud services

Data engineering

Tools

Vertex AI

BigQuery

Cloud Run

Kubeflow

dbt

Terraform

Kubernetes

Job description

Lloyds Banking Group is seeking a Senior Machine Learning Engineer to build and maintain production ML solutions for the Consumer business. You will work with data scientists and other ML engineers to develop scalable Python-based ML systems and drive production readiness through CI/CD and platform integrations.

The role is hybrid, with 2 days per week on-site at one of the office sites and a focus on strong software engineering practices, model governance, and collaboration with business