Lead Platform Engineer - Must be DV Clearable - 5 days a week on-site
Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.
Building the platforms that make AI and machine learning work in production
We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production.
This is a senior, hands-on technical leadership role, not a people-management position. You'll lead through technical depth, judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale.
The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments.
What you'll be doing
You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation.
You will:
- Provide technical leadership across platform, DevOps, and MLOps activities
- Design, build, and operate a Kubernetes-based MLOps platform supporting the full model lifecycle
- ImplementandrunMLOps tooling that enables teams to:
- Experiment with models and notebooks
- Package, version, and deploy models
- Run scalable inference and LLM-based workloads
- Build and operate model serving and inference platforms within Kubernetes environments
- Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows
- Own platform operability, reliability, security, and supportability in production
- Troubleshoot complex issues across Kubernetes, platform services, and xgikmsk MLOps layers
- Contribute to architectural decisions while staying hands-on with delivery
- Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure
What we're looking for
This role suits someone who is fundamentally a strong platform engineer, with the depth to apply those skills confidently to MLOps.
Essential experience:
- Strong background as a Senior or Lead Platform Engineer / DevOps Engineer
- Deep, hands-on experience building and operating Kubernetes-based platforms...
Lead Platform Engineer employer: Lorien Careers
Join a leading pharmaceutical company that values innovation and flexibility, offering a dynamic work culture where your contributions directly impact global health outcomes. With opportunities for professional growth and the ability to work remotely from Maidenhead, you will collaborate with a talented team on diverse projects across various therapy areas, ensuring a rewarding and meaningful experience in health economics modelling.
