AI Platform Engineer: MLOps & Secure Cloud

Source Technology Limited; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Source Technology Limited in London is seeking an AI Platform Engineer to design, build and operate a secure, scalable AI/ML platform for insurance use cases including pricing, claims automation, fraud detection and customer analytics.

You will partner with engineering, data, security and risk teams to enable reliable model development, deployment and monitoring in a regulated environment. Strong software and MLOps skills are essential.

Qualifications

• Strong software engineering in Python and/or Java/Scala.
• Hands-on ML platform experience with MLOps tools.
• Experience with Kubernetes, Docker, and IaC.
• Cloud experience (AWS/Azure/GCP) with secure architectures.
• Familiarity with data pipelines (Spark, Airflow, Kafka, dbt).

Responsibilities

• Design and maintain platform capabilities for model training and deployment.
• Build ML pipelines and CI/CD workflows for MLOps.
• Implement containerised deployments and orchestration for inference.
• Establish data and model governance and security controls.
• Provide developer tooling and documentation for data scientists.
• Monitor model performance and reliability with SLAs.

Skills

Python

Java/Scala

MLOps

Kubernetes

Docker

Terraform/CloudFormation

Cloud platforms

Data pipelines

REST/gRPC

PII security

RBAC

Tools

MLflow

Kubeflow

SageMaker

Vertex AI

Databricks

Terraform/CloudFormation

Job description

Source Technology Limited in London is seeking an AI Platform Engineer to design, build and operate a secure, scalable AI/ML platform for insurance use cases including pricing, claims automation, fraud detection and customer analytics.

You will partner with engineering, data, security and risk teams to enable reliable model development, deployment and monitoring in a regulated environment. Strong software and MLOps skills are essential.