Senior MLops (Full Stack) Engineer | London | Foundation Models

ZipRecruiter; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior MLops Engineer, where you'll build and optimize cutting-edge ML infrastructure. You'll tackle significant challenges in AI, deploying models into production and enhancing performance. With a focus on autonomy and impact, you'll work alongside experts pushing the boundaries of machine learning. This is a unique opportunity to contribute to the evolution of AI systems, ensuring efficiency and scalability while enjoying equity that truly reflects your contributions. If you're passionate about innovation and making a difference, this role is for you.

Qualifications

• 5+ years in backend or infrastructure-focused engineering roles.
• Strong experience in ML model deployment and orchestration.

Responsibilities

• Build and maintain APIs to serve ML models.
• Design and manage robust ML infrastructure using Kubernetes and Docker.

Skills

Python

API Development

Kubernetes

Docker

Terraform

Cloud Platforms (AWS, GCP, Azure)

CI/CD Pipelines

Frontend Development (React, Vue.js)

Tools

FastAPI

Flask

Helm

Job description

Job Description

Senior MLops (Full Stack) Engineer | London | Foundation Models

What you’ll do

• Build and maintain APIs (FastAPI or similar) to serve ML models
• Design and manage robust ML infrastructure using Kubernetes, Docker, and Terraform
• Deploy machine learning models into production and optimize them for performance
• Collaborate with ML teams to streamline training, deployment, and monitoring
• Build internal tools and dashboards (e.g., in React or Vue) for analytics and observability
• Own CI/CD pipelines and drive infrastructure automation

What you’ll bring

• 5+ years’ experience in backend or infrastructure-focused engineering roles
• Strong Python and API development skills (FastAPI, Flask, etc.)
• Proven experience with model deployment, containerization, and orchestration (K8s, Docker)
• Infrastructure-as-code experience (Terraform, Helm, etc.)
• Familiarity with cloud platforms like AWS, GCP, or Azure
• Bonus: Frontend experience (React, Vue.js) for building internal tools

Why Join Us?

Tackle the biggest challenge in AI – Be part of the mission to bend the curve on compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how the world trains and serves large models.

Work on the frontier – Engineer the infrastructure behind cutting-edge AI systems — pushing the boundaries of speed, efficiency, and scale with a team that lives at the intersection of ML, systems, and optimisation research.

High-impact, high-autonomy – We’re a lean, expert-led team where your work ships fast, matters deeply, and scales globally. Expect ownership, speed, and the freedom to build without bureaucratic drag.

Foundation model as infra – Our optimiser is itself a foundation model. You’ll help serve, adapt, and scale it in the wild — an opportunity few engineers will ever get.

Equity that means something – You’re not late to the party. Join at a time when your equity still reflects the upside you help create.