contract machine learning engineer (gcp) 6-months | £600

Key Responsibilities

• Design, build, and productionise machine learning models using GCP-native services
• Translate business problems into deployable ML solutions
• Develop and maintain end-to-end ML pipelines (training, testing, deployment, monitoring)
• Work with data scientists and engineers to operationalise models at scale
• Implement best practices for model performance, versioning, and lifecycle management
• Ensure solutions are secure, scalable, and cost-efficient within GCP

Required Experience

• Strong hands-on experience building and deploying ML models on Google Cloud Platform
• Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions / Cloud Run
• Solid Python experience for ML and data engineering workloads
• Experience productionising models (not just experimentation or notebooks)
• Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance
• Ability to work independently in a contract environment and deliver at pace

Nice to Have Experience

• Experience with real-time or near-real-time ML use cases
• Exposure to data pipelines and orchestration tools
• Prior work in regulated or large-scale enterprise environments

Contract Details

• Duration: 6 months
• Rate: £500 per day
• IR35: Outside IR35
• Start: March 2026