Works with
Hire one when
- Releases are stressful and sometimes break production
- AI costs are rising and nobody knows why
- You have no tested recovery plan
What they do
What a DevOps & MLOps Engineer does for you.
Set up staging, release pipelines and rollbacks
Containerise and deploy services
Monitor uptime, errors, speed and AI cost
Harden servers, secrets and access
Run backups and rehearse recovery
Engineers from our own team, matched to your stack.
Start with a callHow hiring works
Four steps, no CV pile.
- 1
Intro call
What you're building, the stack and the seniority you need.
- 2
Matched engineers
We put forward engineers from our own team who fit, not a stack of CVs.
- 3
Trial week
They work on your real backlog, so you judge the work, not the interview.
- 4
Embedded
Your stand-ups, your tools, your code review. Scale up or down as you need.
Tracking of AI-specific things: answer quality, model versions, prompt changes and per-request cost.
Yes. We work mostly on AWS and Linux servers, and adapt to what you run.
Typically within one to two weeks of scoping the role, because our engineers are already part of our delivery process.
Engineers from our own team. We do not resell freelancers from a marketplace.
Either works: you manage the work directly while we handle technical oversight, or we manage the engagement end to end.
Other roles
Build the rest of the team.
AI Agent Engineer
Agents and tool-using workflows, built for production.
LLM Engineer
LLM applications across OpenAI, Claude and open models.
Claude Developer
Products and agents built on Anthropic's Claude.
RAG Engineer
Search and retrieval over your documents and data.
Full-Stack Engineer
React, Next.js and Node, from database to interface.
Mobile Engineer
Flutter apps for iOS and Android from one codebase.