MLOps Engineer

MLOps Engineer


Location: London, UK (Hybrid - 2 days per week in office)
Day Rate: Market rate (Inside IR35
Duration: 6 months

Role Overview


As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand.
The role requires close collaboration with data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant.

Key Responsibilities

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  Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML)
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  Build infrastructure to monitor model performance, data drift, and other key metrics in production
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  Develop and maintain tools for model versioning, reproducibility, and experiment tracking
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  Optimize model serving infrastructure for latency, scalability, and cost
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  Automate the end-to-end ML workflow, from data ingestion to model training, testing, deployment, and monitoring
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  Collaborate with data scientists to ensure models are production-ready
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  Implement security, compliance, and governance practices for ML systems
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  Supp...