🚨 Hiring: Senior ML Ops Engineer | Contract Opportunity
Contract Length: 4/6Months
📅 Start Date: ASAP
Rate: 500/550 GBP per day (Inside ir35)
***Must be UK based***
We’re currently supporting a leading global healthcare provider that is transforming health outcomes through insurance, clinical services, and AI-driven care solutions.
They’re looking for a Senior ML Ops Engineer to help build and scale production-grade machine learning infrastructure within a modern cloud-native environment.
This is a high-impact opportunity to work at the intersection of AI, platform engineering, and cloud infrastructure for one of the most innovative organisations in the healthcare space.
🔹 What you’ll be doing:
• Deploying and scaling ML models in production
• Building reliable ML pipelines and deployment systems
• Working across Azure cloud, ML Studio, and Kubernetes environments
• Implementing model versioning, monitoring, observability, and governance
• Improving inference performance, resilience, and platform uptime
• Collaborating closely with Data Scientists, DevOps, and Engineering teams
🔹 Tech Stack:
Python | Azure | Azure ML Studio | ML Pipelines | Docker | Kubernetes | GitHub Actions | SQL
🔹 What they’re looking for:
• 5+ years of ML Ops experience
• Strong experience supporting production ML systems at scale
• Deep understanding of Azure cloud infrastructure
• Experience with monitoring/observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Strong problem-solving and debugging skills
This is a fantastic opportunity for someone passionate about building scalable AI infrastructure and operationalising machine learning in a fast-moving, collaborative environment.
If interested, or if you know someone suitable, feel free to message me directly or email
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