Contract Machine Learning Engineer (GCP)
6-Months | £600 per day
£500 - £600 per day | London, England | Contract
Contract Machine Learning Engineer (LLM & GC)
We are seeking an experienced Machine Learning Engineer to support the design and build, production ready ML models on Google Cloud Platform (GCP). This is a hands‑on delivery role, focused on turning models into scalable, reliable, production systems that solve real business problems.
The contract will run for at least 6‑months, will be Outside IR35 at £600 per day, and we are looking to start the project at the beginning of March. This role suits a delivery-focused ML Engineer who enjoys taking models from concept through to production, rather than staying purely in research or experimentation.
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 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
#J-18808-Ljbffr