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

JR United Kingdom; 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 tackle significant challenges in AI infrastructure. This role offers the chance to design and manage robust ML systems, optimize model deployment, and collaborate with top ML teams. You'll work on cutting-edge projects that redefine efficiency and performance in AI, all while enjoying high autonomy and impactful work. With a focus on innovation and equity, this is an exciting opportunity to make a difference in the rapidly evolving field of machine learning.

Qualifications

• 5+ years in backend or infrastructure-focused engineering roles.
• Strong experience with Python and API development.
• Proven skills in model deployment and container orchestration.

Responsibilities

• Build and maintain APIs to serve ML models.
• Design and manage robust ML infrastructure using Kubernetes.
• Deploy machine learning models into production and optimize.

Skills

Python

API Development

FastAPI

Kubernetes

Docker

Terraform

AWS

GCP

Azure

React

Vue.js

Tools

FastAPI

Docker

Kubernetes

Terraform

AWS

GCP

Azure

Job description

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

Job Details

• Location: London, United Kingdom
• Job Category: Other
• EU work permit required: Yes
• Job Views: 5
• Posted: 05.05.2025
• Expiry Date: 19.06.2025

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 – You’ll 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.