MLOps Engineer – Manchester
Location: Manchester (Hybrid)
Salary: £85,000 - £95,000 + Benefits
About Our Client
Our client is a fast-growing technology business building machine learning products used across a large customer base. As its AI capability scales, they are expanding the engineering team responsible for deploying, monitoring and operating production machine learning systems.
The Role
You will bridge Machine Learning, Data and Platform Engineering, creating reliable infrastructure and processes that allow models to move efficiently from experimentation into secure, scalable production environments.
Key Responsibilities
- Build and maintain ML deployment and model-serving infrastructure.
- Develop automated CI/CD pipelines for machine learning workloads.
- Implement model monitoring, observability and performance tracking.
- Work with Data Scientists and ML Engineers to productionise models.
- Manage containerised workloads and cloud infrastructure.
- Improve model versioning, reproducibility and experiment tracking.
- Automate infrastructure using Infrastructure as Code.
- Support security, scalability and reliability of production AI services.
Skills & Experience
- Commercial MLOps, ML Engineering, DevOps or Platform Engineering experience.
- Strong Python skills and experience with machine learning workflows.
- Experience with Docker, Kubernetes and CI/CD tooling.
- Knowledge of AWS, Azure or GCP.
- Experience with MLflow, Kubeflow, SageMaker, Azure ML or comparable tooling.
- Terraform or other Infrastructure as Code experience.
- Understanding of monitoring, observability and production ML lifecycle management.
Package
- £85,000 - £95,000 + Benefits
- Manchester – hybrid working
- Performance-related bonus and/or equity depending on role
- Private healthcare
- Enhanced pension contribution
- 25 days annual leave plus bank holidays
- Flexible working arrangements
- Professional development budget
- Clear progression within a growing technology function
Apply
If you are interested in this opportunity, please apply with your latest CV. Suitable applicants will be contacted to discuss the position, client and package in more detail.