Rate: £600 per day (Outside IR35)
Is this your next job Read the full description below to find out, and do not hesitate to make an application.
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 performant in production.
Key Responsibilities
- 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.
Key Skills
- 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). xgikmsk
- Monitoring tools such as Prometheus or Grafana.
Contract: 3 Months | £600/day Outside IR35
...
Contract MLOps Engineer - Outside IR35 employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
