Senior MLOps Engineer

Senior MLOps Engineer

📍 London (4 days onsite, 1 remote)

🔒 No sponsorship available

🎯 2-stage interview process

🛠️ Stack: Python, FastAPI/Flask/Django, ML Model deployment, CI/CD, Azure, MLflow/W&B, Prometheus/Grafana

💰 Salary: £80k - 100k

We're working with a fast-growing AI Engineering team based in London on a Senior MLOps Engineer hire. The team has a genuine startup culture, small, focused, high ownership, backed by the scale and resources of a major global organisation. They build AI-driven technology that has measurable real-world impact on how large-scale infrastructure is designed and built.

What you'll need

• Strong Python engineering background with hands-on experience in FastAPI, Flask, or Django
• Proven track record of deploying and monitoring ML models in production environments
• Experiment tracking and model versioning experience (MLflow/Weights & Biases)
• A background in startups or scaleups where you've had real ownership and worked in lean teams

Nice to have

• Observability tooling such as Prometheus, Grafana, or ELK
• Azure cloud experience
• GPU/CPU workload optimisation

Get in touch if interested at: [email protected]