Senior MLOps Engineer at VC-backed AI-native retail platform
2 weeks ago
This is a job that we are recruiting for on behalf of one of our customers.
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
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:
You'll 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.
You'll 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.
Step 1. Visit our website
Step 2. Click 'Speak with Jack'.
Step 3. Login with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
Step 5. If the hiring manager would like to meet you, Jack will make the introduction.
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