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]