---
title: "Hire MLOps Engineers | Production ML and LLMOps | Agility"
url: https://agilitytech.ai/hire-mlops-engineers
description: "Hire senior MLOps engineers to build training pipelines, model deployment, monitoring and LLMOps so your AI runs reliably and cost-effectively in production."
publisher: Agility (agilitytech.ai)
---

Hire · MLOps Engineers

# Hire MLOps Engineers

Models rarely fail on launch day. They fail quietly three months later when the data shifts and nobody is watching.

- Senior, pre-vetted engineers only
- You interview and choose before anyone starts
- Working-hours overlap with India, the UK and the USA

48-hour turnaround · free · no obligation

### Talk to us about hiring MLOps engineers

Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.

In short

## The quick answer

Our MLOps engineers set up the training pipelines, deployment, monitoring and LLMOps that stop that happening, on your cloud or your own servers.

The role

## What our MLOps engineers do

### What our MLOps engineers build

- Automated training, testing and deployment pipelines
- Model registries and versioned datasets
- Monitoring for drift, latency, errors and cost
- GPU and inference optimisation for LLM workloads
- On-premises and private cloud AI infrastructure

### When to hire a MLOps engineer

- Models are deployed by hand and break between releases
- Nobody knows when a model starts to drift
- LLM inference costs are climbing
- You need to run AI on your own infrastructure

Skills

## Skills and stack

- MLflow
- Kubeflow
- Docker
- Kubernetes
- Terraform
- AWS, Azure and GCP
- vLLM
- Prometheus and Grafana

Process

## How hiring works

- 01 ### Share your needs Tell us the stack, the problem and how you want to work. We confirm fit on a short call.
- 02 ### Interview the shortlist We send profiles of pre-vetted senior engineers who match your stack and domain. You interview and choose.
- 03 ### Onboard and ship Your engineers onboard and start delivering without a long recruiting cycle, with working software at the end of each sprint.

Engagement models

## Three ways to work with us

### Staff augmentation

Add one or two senior engineers to your existing team to close a specific skill gap. Your leads, our specialists.

### Dedicated team

A small senior team working only on your roadmap, with a lead who owns delivery.

### Defined project

A scoped build such as a RAG system, a model or a pipeline, delivered to an agreed outcome.

Related work

## See similar systems in production

[Cloud platform migration case study](https://agilitytech.ai/case-studies/cloud-platform-migration)[Manufacturing demand forecasting case study](https://agilitytech.ai/case-studies/manufacturing-ai)[Pharma analytics case study](https://agilitytech.ai/case-studies/pharma-analytics)

Next step

Comparing options? Read [what it costs to hire AI developers](https://agilitytech.ai/hire-ai-developers-cost) or [contact us](https://agilitytech.ai/contact) to discuss your project.

FAQ

## Hiring MLOps engineers: FAQs

[Ask us something else](https://agilitytech.ai/contact)

**What does an MLOps engineer do?+**

An MLOps engineer builds the infrastructure and processes that let machine learning models be trained, tested, deployed and monitored reliably, much like DevOps does for software. For LLM systems this extends to prompt and model versioning, evaluation and inference cost control.

**What is LLMOps?+**

LLMOps applies MLOps practice to language model applications: versioning prompts and models, running evaluations on every change, tracing requests, and managing latency and cost in production.

**Can you run AI on our own servers?+**

Yes. We design and run on-premises and private cloud AI infrastructure, including GPU serving for open models, when data or cost requires it.

**Do MLOps engineers work with our existing cloud?+**

Yes. Our engineers work across AWS, Azure and Google Cloud and fit into your existing CI/CD and security practices.

**How do engagements work?+**

Add an engineer to your team, take a dedicated team, or hand us a defined platform project. You interview the shortlist before anyone starts.

Keep reading

## Related pricing and decision guides

[Hire AI developers (all roles)](https://agilitytech.ai/hire-ai-developers)[Hire LLM developers](https://agilitytech.ai/hire-llm-developers)[Hire RAG developers](https://agilitytech.ai/hire-rag-developers)[Hire LangChain developers](https://agilitytech.ai/hire-langchain-developers)[Hire AI agent developers](https://agilitytech.ai/hire-ai-agent-developers)[Hire machine learning engineers](https://agilitytech.ai/hire-machine-learning-engineers)

## Get your exact number with a free 48-hour audit

Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.

Get my fixed estimate