Senior MLOps Engineer at VC-backed AI-native retail platform

Jack & Jill/External ATS; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A rapidly scaling AI startup in London is seeking a Senior MLOps Engineer to own critical infrastructure for transforming AI research into production systems. The role involves building CI/CD pipelines, designing model registries, and ensuring model performance monitoring. Ideal candidates will have experience in ML infrastructure, containerization skills, and cloud platform knowledge. This is an exciting opportunity to contribute to innovative AI solutions.

Qualifications

• Experience building and operating ML infrastructure in production environments.
• Strong proficiency in containerisation and orchestration of ML workflows.
• Practical knowledge of CI/CD best practices and cloud platforms.

Responsibilities

• Build and maintain robust CI/CD pipelines for model training and deployment.
• Design and implement model registries and experiment tracking.
• Instrument comprehensive monitoring for model performance and system health.

Skills

Building and operating ML infrastructure

Containerisation (Docker, Kubernetes)

Infrastructure as code

Continuous Integration/Continuous Deployment best practices

Cloud platforms (AWS, GCP, Azure)

Job description

This is a job that we are recruiting for on behalf of one of our customers.

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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

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