Lead MLOps Engineer — Scale ML Platforms & Observability

Hastings Insurance Services Limited; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Hastings Insurance Services Limited in the UK is seeking a Lead MLOps Engineer to design, build, and maintain the ML platform and lifecycle tooling.

You will collaborate with data scientists, engineers and commercial teams to deliver scalable models and data products that improve pricing and underwriting.

This hybrid role offers exposure to modern cloud environments and IaC practices, with opportunities to shape our telematics data strategy.

Qualifications

• Proven experience building and operating ML solutions in cloud environments.
• Hands-on with MLOps tooling: CI/CD, containerisation, orchestration, deployment, monitoring.
• Proficient in SQL and large-scale data platforms.
• Experience with Azure, AWS or GCP.
• Collaborates with Data Scientists, Data Engineers, Software Engineers and stakeholders.

Responsibilities

• Provide technical leadership on ML platform architecture and standards.
• Develop and maintain automated workflows for feature engineering, model training, testing, deployment, monitoring.
• Collaborate with Data Scientists and Data Engineers to operationalise predictive models and data products.
• Establish best practices for ML observability, CI/CD, versioning, governance.
• Improve reliability, scalability and efficiency of ML and data platforms.
• Work with cloud-native technologies and IaC to support ML workloads.
• Present technical solutions and outcomes to engineering, operations and commercial stakeholders.
• Evaluate emerging technologies and contribute to engineering standards.

Skills

Python

MLOps

CI/CD

SQL

Cloud platforms

Tools

Docker

Kubernetes

Terraform

Job description

Hastings Insurance Services Limited in the UK is seeking a Lead MLOps Engineer to design, build, and maintain the ML platform and lifecycle tooling.

You will collaborate with data scientists, engineers and commercial teams to deliver scalable models and data products that improve pricing and underwriting.

This hybrid role offers exposure to modern cloud environments and IaC practices, with opportunities to shape our telematics data strategy.