Remote – Europe / UK based
We are supporting a search for a Senior MLOps / ML Platform Engineer within a specialist life sciences software company that is building a SaaS platform for biopharma and scientific teams.
This is a platform role rather than a model-building one. The company's product relies on AI and scientific models, and you would own the platform that sits behind them, from how workflows are run and experiments are tracked to how every result can be reproduced and trusted long after it was first produced.
The scientists and modellers are effectively your users, so you would work closely with them as well as with backend, data and infrastructure engineers to make complex ML workflows reliable, traceable and easy to run at scale.
It would suit an engineer who naturally thinks long-term, someone who will fix today's problem but then design it out properly so it doesn't come back six months later.
Role focus
- Owning the ML platform architecture and setting the standards and tooling that other teams build on
- Building and orchestrating ML workflows using Flyte,



Airflow or similar tools
- Running experiment tracking, model registries and artifact management, for example with MLflow
- Making sure reproducibility and lineage hold up, so older models and runs remain usable as the platform evolves
- Validating and monitoring model behaviour once models are in production
- Managing the Kubernetes, Docker and cloud infrastructure behind training and inference workloads
- Building CI/CD for both ML and data pipelines
- Improving observability, governance and reliability across the whole platform
- Working with scientists and engineers to turn their recurring needs into proper platform capabilities

What we are looking for
- 5+ years' experience in MLOps, ML platform, data platform or platform engineering
- A software engineering mindset first and foremost, combined with genuine curiosity about the science behind the product
- Hands-on experience building platform

📌 Senior MLOps (España)
🏢 Black Swans Exist
📍 España