Job description
Rate: £600 per day (Outside IR35) Contract Length: 3 Months Location: Hybrid / Remote We're supporting a business looking for an experienced MLOps Engineer to help scale and productionise machine learning solutions. You'll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and pe
Project details
£600 per day (Outside IR35)
Contract Length: 3 Months
Hybrid / Remote
We're supporting a business looking for an experienced MLOps Engineer to help scale and productionise machine learning solutions. You'll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and performant in production.
Key Responsibilities
Key Skills
Contract: 3 Months | £600/day Outside IR35
- Build and maintain ML deployment pipelines.
- Develop CI/CD processes for machine learning models.
- Implement model monitoring, observability, and alerting.
- Manage cloud-based infrastructure and containerised environments.
- Collaborate with Data Scientists and Engineers to productionise models.
- Improve platform scalability, reliability, and automation.
- Strong Python experience.
- MLOps tooling (MLflow, Kubeflow, SageMaker, or similar).
- Docker and Kubernetes.
- CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).
- Cloud platforms (AWS, Azure, or GCP).
- Infrastructure as Code (Terraform preferred).
- Monitoring tools such as Prometheus or Grafana.
- Start: flexible
- Duration: 3 Months
- Remote: hybrid
- Location: London
- Rate: 50-75 EUR/h
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