--- title: "MLOps Engineering for Models in Production | Azendo" description: "A dedicated MLOps team that deploys, monitors and retrains your machine learning models, so they stay accurate long after launch. Managed by Azendo." url: "https://azendo.co/services/dedicated-mlops-team/" --- 1. [Home](https://azendo.co/) 2. [Services](https://azendo.co/services/) 3. MLOps engineering # Dedicated MLOps team. MLOps engineers for deployment, monitoring and retraining, headhunted for your models and assigned to you full time. You set the priorities. We employ, train and run the team from our own offices in Thailand. [Get in touch](https://azendo.co/services/dedicated-mlops-team/#contact) Try us, at zero risk. * No deposit * No upfront fee * No commitment [Get in touch](https://azendo.co/services/dedicated-mlops-team/#contact) ## What you get and what you pay. With [offshore staffing](https://azendo.co/blog/engagement-models/offshore-staffing/) or [staff augmentation](https://azendo.co/blog/engagement-models/staff-augmentation/), the provider finds a developer and the managing is left to you. We do it as a full service. The MLOps engineers are ours: we employ them, assign them to you full time, give them an office and equipment, train and coach them, and run delivery with you every week. ### Price examples Mid-level, full time, everything below included. Junior and senior levels are priced in your proposal. [All 27 things included ››](https://azendo.co/pricing/) * [MLOps engineer](https://azendo.co/services/dedicated-mlops-team/mlops-engineer/) From **USD 4,200** per month * [Machine learning engineer](https://azendo.co/services/dedicated-mlops-team/machine-learning-engineer/) From **USD 4,200** per month * [ML platform engineer](https://azendo.co/services/dedicated-mlops-team/ml-platform-engineer/) From **USD 4,200** per month * ### Service We manage and develop the team * A service delivery manager who runs the team and answers for delivery * A 1:1 with our Head of Delivery every two weeks * Weekly delivery scoring and monthly capacity reports * A Talent Success Manager for every specialist * ### HR We are the employer * Recruitment and technical assessment * Employment contracts * Salary and payroll * Tax and social security * ### Facilitation We provide the workplace * A desk in our own office in Chiang Mai or Bangkok * A Workplace Experience Manager on site * Team events through the year * IT support * ### Equipment We supply the tools * Laptop and hardware * Software licences * LinkedIn Learning access * Device security and management ## One monthly fee. Everything around the MLOps engineer is in it. You agree a monthly capacity in hours with us. The fee covers the MLOps engineer's salary and every layer around it: the service delivery manager who runs the team, training and development, the workplace, the equipment and the HR behind the employment. It is the same amount every month. * One agreement and one invoice, with no setup fee or management surcharge * Holidays are already priced in, so April and May cost the same * Capacity moves up or down at the next monthly cycle [How the monthly fee is built →](https://azendo.co/pricing/) ## Tailored teams down to every detail. We make sure your team is 100% tailored to your needs and expectations. We headhunt MLOps engineers when needed, so we deliver high-performing teams. Before we start Alignment on your needs * Roles and seniority * Stack and domain * Way of working * Capacity and start date [Talk to our teamBook a scoping call](https://azendo.co/book-a-meeting/) 1. 25 Week 1 Sourcing Headhunted for your brief 2. 12 Week 2 AI processing and screening Matched to your stack 3. 5 Week 3 Technical testing Pass technical testing 4. 1 Week 4 Mindset, culture and logic Proposed to you ## Any role your roadmap needs. These four are the MLOps engineering roles with their own pages. Beyond them we assign specialists across ten disciplines, on the same agreement and with the same service delivery manager. [MLOps Engineer Deployment, monitoring and retraining About the role →](https://azendo.co/services/dedicated-mlops-team/mlops-engineer/)[Machine Learning Engineer Notebook to production service About the role →](https://azendo.co/services/dedicated-mlops-team/machine-learning-engineer/)[ML Platform Engineer Feature stores and training platform About the role →](https://azendo.co/services/dedicated-mlops-team/ml-platform-engineer/)[Model Deployment Engineer Serving, versioning and rollback About the role →](https://azendo.co/services/dedicated-mlops-team/model-deployment-engineer/) [Backend Developer· Software development](https://azendo.co/services/dedicated-software-development-team/backend-developer/)[Full Stack Developer· Software development](https://azendo.co/services/dedicated-software-development-team/full-stack-developer/)[iOS Developer· Mobile development](https://azendo.co/services/dedicated-mobile-development-team/ios-developer/)[React Native Developer· Mobile development](https://azendo.co/services/dedicated-mobile-development-team/react-native-developer/)[UX Designer· UX/UI design](https://azendo.co/services/dedicated-ui-ux-design-team/ux-designer/)[Product Designer· UX/UI design](https://azendo.co/services/dedicated-ui-ux-design-team/product-designer/)[QA Engineer· QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/qa-engineer/)[Manual QA Tester· QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/manual-qa-tester/)[DevOps Engineer· Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/devops-engineer/)[Site Reliability Engineer· Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/site-reliability-engineer/)[Data Engineer· Data engineering](https://azendo.co/services/dedicated-data-engineering-team/data-engineer/)[ETL Developer· Data engineering](https://azendo.co/services/dedicated-data-engineering-team/etl-developer/)[AI Engineer· AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/ai-engineer/)[NLP Engineer· AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/nlp-engineer/)[AI Automation Engineer· AI automation engineering](https://azendo.co/services/dedicated-ai-automation-team/ai-automation-engineer/)[Workflow Automation Specialist· AI automation engineering](https://azendo.co/services/dedicated-ai-automation-team/workflow-automation-specialist/)[Data Scientist· Data science](https://azendo.co/services/dedicated-data-science-team/data-scientist/)[BI Developer· Data science](https://azendo.co/services/dedicated-data-science-team/bi-developer/) [Frontend Developer· Software development](https://azendo.co/services/dedicated-software-development-team/frontend-developer/)[Software Architect· Software development](https://azendo.co/services/dedicated-software-development-team/software-architect/)[Android Developer· Mobile development](https://azendo.co/services/dedicated-mobile-development-team/android-developer/)[Flutter Developer· Mobile development](https://azendo.co/services/dedicated-mobile-development-team/flutter-developer/)[UI Designer· UX/UI design](https://azendo.co/services/dedicated-ui-ux-design-team/ui-designer/)[UX Researcher· UX/UI design](https://azendo.co/services/dedicated-ui-ux-design-team/ux-researcher/)[Test Automation Engineer· QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/test-automation-engineer/)[Performance Test Engineer· QA and test automation](https://azendo.co/services/dedicated-qa-and-testing-team/performance-test-engineer/)[Cloud Engineer· Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/cloud-engineer/)[Platform Engineer· Cloud and DevOps](https://azendo.co/services/dedicated-cloud-and-devops-team/platform-engineer/)[Analytics Engineer· Data engineering](https://azendo.co/services/dedicated-data-engineering-team/analytics-engineer/)[Database Administrator· Data engineering](https://azendo.co/services/dedicated-data-engineering-team/database-administrator/)[LLM Engineer· AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/llm-engineer/)[Computer Vision Engineer· AI engineering](https://azendo.co/services/dedicated-ai-engineering-team/computer-vision-engineer/)[RPA Developer· AI automation engineering](https://azendo.co/services/dedicated-ai-automation-team/rpa-developer/)[Integration Engineer· AI automation engineering](https://azendo.co/services/dedicated-ai-automation-team/integration-engineer/)[Data Analyst· Data science](https://azendo.co/services/dedicated-data-science-team/data-analyst/)[Quantitative Analyst· Data science](https://azendo.co/services/dedicated-data-science-team/quantitative-analyst/) [Another role? Tell us what you need →](https://azendo.co/services/dedicated-mlops-team/#contact) ## Try us, at zero risk. * No deposit * No upfront fee * No commitment We agree a time to hire with you. If we can't find the right people for your team within it, you walk away with no commitment and nothing to pay. [Get in touch](https://azendo.co/services/dedicated-mlops-team/#contact) "We don't hand you an MLOps engineer and step back. We build the team around your product, and we stay in it every week." **Mikkel Schmidt**, CEO and founder ## Questions about a dedicated MLOps team. Can we choose the seniority level? Yes. Junior to principal MLOps engineers are available, priced by level, and we recommend a level based on the scope you share. Who manages the MLOps engineers? We do. It works like staff augmentation, with the management included: our MLOps engineers are assigned to your models full time, and we employ, train and manage them. Our data scientists keep the say over the models. What if our stack isn't listed? Tell us what you use. The list shows what we see most often, and we'll confirm the fit for your setup at scoping. Can we add a second MLOps engineer later? Yes, at the next monthly cycle. Who owns the infrastructure and code? You do, from the first commit. All work happens in your repositories. Why does a live model need MLOps? A live model keeps changing even when its code doesn't. Input distributions move, upstream data changes and accuracy slips quietly. Catching that early is what MLOps is for. Many engagements start with models that have no owner. The first job is a baseline, so drift can be measured against something real. Do your engineers work with our data scientists? Our engineers work in your cloud account next to your data scientists. The people who trained a model understand its weak spots, so they stay involved. What if the data feeding the model is the problem? When the data feeding a model is the real issue, your team fixes the pipelines first and instruments the model after. ## Build the whole team around your MLOps engineers. Most partners add a second discipline within the first year. It joins the same agreement, the same sprints and the same service delivery manager. Your MLOps engineers Mlops engineer, machine learning engineer, ml platform engineer, model deployment engineer. The core of the team. On the team [AI engineering LLM features, retrieval and evaluation Add to the team →](https://azendo.co/services/dedicated-ai-engineering-team/)[Data engineering Pipelines, warehouses and reporting models Add to the team →](https://azendo.co/services/dedicated-data-engineering-team/)[Cloud and DevOps Infrastructure as code, CI/CD, observability Add to the team →](https://azendo.co/services/dedicated-cloud-and-devops-team/)[Data science Analysis, models and evaluation Add to the team →](https://azendo.co/services/dedicated-data-science-team/) ## Tell us what MLOps engineering capacity your roadmap needs. Thirty minutes with a service delivery manager. You leave with a clear picture of the team you would need, what it would deliver and when it could start. * No deposit and no upfront fee * No commitment until the right people are on your team * If we can't find them inside the agreed window, you walk away at no cost The people you would talk to. No slides, no sales script. [Book a discovery call](https://azendo.co/book-a-meeting/)