Senior ML Engineer — Production AI & MLOps

Compare The Market Limited; City of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services firm in the UK is seeking a Senior Machine Learning Engineer to drive the deployment and monitoring of ML systems. You will collaborate with diverse teams to create robust solutions and promote best practices in ML engineering. Candidates should have extensive experience in ML deployment, solid Python skills, and a strong grasp of the ML lifecycle. This role is hybrid, offering flexibility between remote and on-site work.

Qualifications

• Strong experience deploying ML models into production in cloud-native environments.
• Solid software engineering skills in Python and optionally one other language, such as Go or Java.
• Strong understanding of ML lifecycle challenges—versioning, testing, monitoring, governance.

Responsibilities

• Own the end-to-end delivery of production ML solutions.
• Design and build model pipelines for training, validation, and deployment.
• Contribute hands-on code to model packaging, deployment, and lifecycle automation.

Skills

Experience deploying ML models into production

Software engineering skills in Python

Experience with modern ML tooling (MLflow, TFX, Airflow)

CI/CD pipelines and infrastructure-as-code

Build robust ML pipelines and APIs

Understanding of ML lifecycle challenges

Collaboration and communication skills

Tools

MLflow

Kubernetes

Airflow

Terraform

Job description

A leading financial services firm in the UK is seeking a Senior Machine Learning Engineer to drive the deployment and monitoring of ML systems. You will collaborate with diverse teams to create robust solutions and promote best practices in ML engineering. Candidates should have extensive experience in ML deployment, solid Python skills, and a strong grasp of the ML lifecycle. This role is hybrid, offering flexibility between remote and on-site work.