Machine Learning Ops Engineer
Our client, a leading global supplier for IT services, requires ML Ops Engineer to be based at their client’s office in London, UK.
This is a hybrid role – you can work remotely in the UK and attend the London office 2 days per week .
This is a 6+ month temporary contract to start asap
Day rate: Competitive Market rate
Key Responsibilities
- Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML).
- Build infrastructure to monitor model performance, data drift, and other key metrics in production.
- Develop and maintain tools for model versioning, reproducibility, and experiment tracking.
- Optimize model serving infrastructure for latency, scalability, and cost.
- Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring.
- Collaborate with data scientists to ensure that models are production ready.
- Implement security, compliance, and governance practices for machine learning systems.
- Support troubleshooting and incident response for deployed ML systems.
Key Requirements
Essential Skills:
- Strong programming skills in Python; experience with ML libraries such as Snowpark, PySpark or PyTorch.
- Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer.
- Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI).
- Experience with CI/CD pipelines and automation tools like GitHub Actions.
- Understanding of monitoring and logging tools (e.g., NewRelic, Grafana).
Desirable Skills:
- Prior experience deploying ML models in production environments.
- Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
- Familiarity with model interpretability and responsible AI practices.
- Experience with feature stores and model registries.
Due to the volume of applications received, unfortunately we cannot respond to everyone.
If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.
Please do keep an eye on our website https://projectrecruit.com/jobs/ for future roles
