This is a job that we are recruiting for on behalf of one of our customers.
Senior MLOps Engineer
Company Description: VC-backed AI-native retail platform
Job Description:
Join a rapidly scaling AI startup building a proprietary multimodal foundation model for retail. As a Senior MLOps Engineer you will own the critical infrastructure and tooling that transforms experimental models into reliable reproducible and observable production systems enabling rapid innovation and deployment at scale.
Location: London UK
Why this role is remarkable:
Youll be part of a high-output team owning infrastructure vital for bringing cutting-edge AI research to customers.
The company is well-funded backed by top-tier VCs and rapidly scaling after a recent Series A.
Youll tackle complex challenges at the forefront of ML systems including multi-modal models real-time inference and retail-scale operations.
What you will do:
Build and maintain robust CI/CD pipelines for model training evaluation and deployment across environments.
Design and implement model registries versioning systems and experiment tracking for full reproducibility.
Instrument comprehensive monitoring for model performance data drift prediction quality and system health.
The ideal candidate:
Experience building and operating ML infrastructure ideally in production environments serving real users.
Strong proficiency in containerisation (Docker Kubernetes) and orchestration of multi-stage ML workflows.
Practical knowledge of infrastructure as code CI/CD best practices and cloud platforms (AWS GCP or Azure).
How to Apply:
To apply for this job speak to Jack our AI recruiter.
Required Experience:
Senior IC
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