--- title: "MLOps Marketplace" url: https://zinnhub.com/marketplaces/mlops-marketplace/ description: "Hire verified MLOps engineers for model deployment, pipelines, monitoring and scaling. Production ML infrastructure with buyer protection." published: 2026-05-26T17:01:08+00:00 modified: 2026-05-28T09:44:16+00:00 language: en-GB --- # MLOps Marketplace ⚙️ MLOps & Deployment Engineers # Hire Verified MLOps Engineers Find MLOps engineers who take your machine learning models from notebook to production — deployment, pipelines, monitoring, scaling and retraining, built on infrastructure that stays reliable as your data and load grow. Every engineer is ID-verified and skill-verified, and your payment is escrow-protected until the work is delivered and approved. ID-Verified Skill-Verified Escrow-Protected 100+ Crypto Payments [Browse MLOps Services](https://zinnhub.com/search-all/?q=mlops+model+deployment&zhus_src=pill_desktop) #### MLOps & Model Deployment Services Available ##### Model Deployment & Serving Get your model running in production behind a fast, reliable API or inference endpoint, on cloud or self-hosted infrastructure. ##### ML Pipelines & Orchestration Automated training and inference pipelines with tools like Airflow, Kubeflow and MLflow so your workflow is repeatable and reliable. ##### Monitoring & Observability Track performance, latency and data drift with alerting, so you know the moment a model starts to degrade. ##### CI/CD for ML Continuous integration and delivery for models, so new versions ship safely, automatically and with rollback. ##### Scaling & Infrastructure Containerise with Docker and Kubernetes and auto-scale to handle load without overspending on idle capacity. ##### Model Registry & Versioning Track models, data and experiments with a registry so every deployment is reproducible and auditable. #### Types of MLOps Work You Can Buy **Model Deployment**Serve to production **ML Pipelines**Training workflows **Model Serving**APIs & endpoints **CI/CD for ML**Automated delivery **Monitoring**Drift & performance **Containerisation**Docker & K8s **Feature Stores**Reusable features **Model Registry**Versioning **Auto-scaling**Handle load **Cloud ML**AWS, GCP, Azure **Edge Deployment**On-device serving **Retraining**Automated updates #### Why Hire an MLOps Engineer Here - **ID-verified & skill-verified** — every engineer is checked before they can sell. - **Escrow-protected payments** — funds release only when work is delivered and approved. - **Production-grade infrastructure** — reliable, observable and built to scale. - **Works with your existing models** — deployment fits around what you already have. - **Cloud-agnostic** — AWS, Google Cloud, Azure or self-hosted, your choice. - **Monitoring & retraining** — drift detection and automated updates keep models healthy. - **Transparent pricing** — clear packages and scope before you commit. - **100+ crypto payment options** — plus instant payouts and low platform fees. Training a model is only half the job. The hard part — and where most ML projects stall — is running that model reliably in production, where real users depend on it and data keeps changing. MLOps is the discipline that solves this: deployment, pipelines, versioning, monitoring, scaling and retraining, all wired together so a model stays accurate, fast and easy to update long after launch. On Zinn Hub you can hire MLOps and deployment engineers who handle the full path to production: containerising and serving your model, building training and inference pipelines, setting up CI/CD, adding monitoring and drift detection, and automating retraining. They work cloud-agnostically with AWS SageMaker, Google Vertex AI, Azure ML or self-hosted Kubernetes, and tools such as Docker, MLflow, Kubeflow and BentoML. MLOps sits at the end of the AI build pipeline. If you still need the model itself or the system around it, explore the [computer vision marketplace](https://zinnhub.com/marketplaces/computer-vision-marketplace/) for custom vision models, or the [RAG development marketplace](https://zinnhub.com/marketplaces/rag-development-marketplace/) for retrieval systems that also need reliable deployment. Every order is escrow-protected and every engineer is verified, so you can commission specialist infrastructure work with confidence. The short answer ## What does taking a model to production actually involve? Packaging the model and its dependencies, building a repeatable training and deployment pipeline, exposing it behind a stable interface, then adding logging, drift monitoring, alerting and a rollback path. Retraining is scheduled once the monitoring has proved reliable. Zinn Hub MLOps engineers quote in USD. Zinners are verified with government-issued photo ID and evidence of their skills and past work. - No buyer platform fee - All prices in USD - Posting a project is free ## Best Selling MLOps Services Browse the most popular MLOps and model deployment services from top-rated engineers. All ID-verified and skill-verified, all with buyer protection and escrow on every order. ## Top Zinns ⚡ - [I will build and deploy custom machine learning models and MLOps pipelines — per hour $37.00 Verified Zinner Level 1 End-to-end machine learning engineering — from data preprocessing and model training to cloud deployment on GCP and Hugging Face. Deep learning, computer…](https://zinnhub.com/zinns/i-will-build-and-deploy-custom-machine-learning-models-and-mlops-pipelines-per-hour/) - [I Will Build a Custom Machine Learning Model End to End $91.80 ★ 5.0 (5) Verified Trusted Zinner Hot Zinner Zinner Level 4 From raw data to deployed ML model — get a production-ready machine learning solution covering data engineering, model development, fine-tuning, evaluation, and…](https://zinnhub.com/zinns/complete-machine-learning-projects-with-zinn-digital-experts/) - [I Will Build and Deploy Your ML Model as an API or App $91.80 Verified Trusted Zinner Hot Zinner Zinner Level 4 Get your trained machine learning model out of the notebook and into production — deployed as a scalable API or full-stack application,…](https://zinnhub.com/zinns/develop-ai-automations-and-smart-machine-learning-tools/) - [I Will Build and Deploy Your ML Model as an API or Web App $91.80 ★ 4.8 (5) Verified Trusted Zinner Hot Zinner Zinner Level 4 Turn your trained machine learning model into a production-ready API or full-stack application — with clean code, proper documentation, and the scalability…](https://zinnhub.com/zinns/develop-ai-automations-and-smart-machine-learning-tools-with-zinn-digital/) - [I Will Build and Deploy a Bespoke Deep Learning or AI Model $153.00 ★ 5.0 (5) Verified Trusted Zinner Hot Zinner Zinner Level 4 Get a production-ready, custom AI or LLM solution built end-to-end by a London-based AI engineering team — from data preprocessing and model…](https://zinnhub.com/zinns/develop-and-deploy-bespoke-deep-learning-and-ai-models/) - [I Will Build Scalable Full-Stack Web Applications With React, Next.js and Python $75.00 Verified Zinner Level 1 Expert Full-Stack Developer and AI/MLOps Specialist with 15+ years of experience. I build scalable web applications, integrate advanced AI solutions, and fix…](https://zinnhub.com/zinns/i-will-build-scalable-full-stack-web-applications-with-react-next-js-and-python/) - [I Will Build Your End-to-End AI & Machine Learning Solution $51.00 ★ 5.0 (5) Verified Trusted Zinner Hot Zinner Zinner Level 4 From strategic planning to full deployment, get a production-ready AI solution — computer vision, NLP, RAG systems, ML models, and scalable MLOps…](https://zinnhub.com/zinns/deliver-agentic-ai-machine-learning-and-deep-learning-projects/) [View all mlops model deployment →](https://zinnhub.com/search/mlops%20model%20deployment/?post_type=product) ## Explore the Full MLOps Marketplace See verified Zinners, open projects, stores and guides across the whole marketplace, or go straight to the [MLOps & model deployment freelancer category](https://zinnhub.com/freelancers/category/mlops-model-deployment/) to browse every engineer. ## Zinns - [I will build and deploy custom machine learning models and MLOps pipelines — per hour $37.00 Verified Zinner Level 1 End-to-end machine learning engineering — from data preprocessing and model training to cloud deployment on GCP and Hugging Face. Deep learning, computer vision, NLP, predictive modelling, and time-series…](https://zinnhub.com/zinns/i-will-build-and-deploy-custom-machine-learning-models-and-mlops-pipelines-per-hour/) - [I Will Build a Custom Machine Learning Model End to End $91.80 ★ 5.0 (5) Verified Trusted Zinner Hot Zinner Zinner Level 4 From raw data to deployed ML model — get a production-ready machine learning solution covering data engineering, model development, fine-tuning, evaluation, and full cloud deployment with source code…](https://zinnhub.com/zinns/complete-machine-learning-projects-with-zinn-digital-experts/) - [I Will Build Scalable Full-Stack Web Applications With React, Next.js and Python $75.00 Verified Zinner Level 1 Expert Full-Stack Developer and AI/MLOps Specialist with 15+ years of experience. I build scalable web applications, integrate advanced AI solutions, and fix critical bugs to optimize your business…](https://zinnhub.com/zinns/i-will-build-scalable-full-stack-web-applications-with-react-next-js-and-python/) - [I Will Build and Deploy Your ML Model as an API or App $91.80 Verified Trusted Zinner Hot Zinner Zinner Level 4 Get your trained machine learning model out of the notebook and into production — deployed as a scalable API or full-stack application, with full source code and documentation…](https://zinnhub.com/zinns/develop-ai-automations-and-smart-machine-learning-tools/) [See all in Zinns →](https://zinnhub.com/search/mlops%20model%20deployment/?post_type=product) ## Articles - [📄 MLOps Marketplace Page · May 26, 2026 ⚙️ MLOps & Deployment Engineers Hire Verified MLOps Engineers Find MLOps engineers who take your machine learning models from notebook to production — deployment, pipelines, monitoring, scaling and…](https://zinnhub.com/marketplaces/mlops-marketplace/) - [📄 AI Governance Marketplace Page · May 26, 2026 ⚖️ AI Governance & Compliance Experts Hire Verified AI Governance Specialists Find AI governance and compliance specialists for risk assessments, policy, EU AI Act readiness and responsible AI…](https://zinnhub.com/marketplaces/ai-governance-marketplace/) - [📄 Computer Vision Marketplace Page · May 26, 2026 👁️ Computer Vision Specialists Hire Verified Computer Vision Engineers Find computer vision engineers who build custom models for object detection, image recognition, OCR and video analysis — trained…](https://zinnhub.com/marketplaces/computer-vision-marketplace/) - [📄 Marketplaces Page · January 13, 2026 🏪 Zinn Hub Service Marketplaces Browse Our Freelance Marketplaces Discover specialized marketplaces for every digital service you need. Each marketplace features verified sellers, transparent pricing, buyer protection, and…](https://zinnhub.com/marketplaces/) [See all in Articles →](https://zinnhub.com/articles/?zhus_q=mlops%20model%20deployment) ## Help - [📄 Freelancer Categories on Zinn Hub Browse freelancers by category in the Zinn Hub Freelancer Directory. Every Zinner has a full profile with skills, portfolio, rates, availability, and reviews — so you can find…](https://zinnhub.com/help/freelancer-categories/) [See all in Help →](https://zinnhub.com/help/search/?q=mlops%20model%20deployment) ### Explore More MLOps Marketplace Options Discover related services, categories, and alternatives on Zinn Hub [View All Marketplaces →](https://zinnhub.com/marketplaces/) #### 🔗 Related Services [AI Video Marketplace](https://zinnhub.com/marketplaces/ai-video-marketplace/)[AI Automation Marketplace](https://zinnhub.com/marketplaces/ai-automation-marketplace/)[AI Agent Development Marketplace](https://zinnhub.com/marketplaces/ai-agent-development-marketplace/)[AI Voice Agent Marketplace](https://zinnhub.com/marketplaces/ai-voice-agent-marketplace/)[AI Consulting Marketplace](https://zinnhub.com/marketplaces/ai-consulting-marketplace/)[Computer Vision Marketplace](https://zinnhub.com/marketplaces/computer-vision-marketplace/)[RAG Development 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your existing stack. 💸 ### Fair Fees & Fast Payouts 0% commission on your first $500, low fees after that, instant payouts and 100+ crypto payment options. 💬 ### Direct Collaboration Message engineers directly, share access on your terms, and agree scope and confidentiality before work begins. Zinn Hub is operated by **Zinn Digital Ltd**, a UK-registered company. We verify identity and skills, hold every order in escrow, and give you a clear, protected route to hire specialist MLOps and deployment talent — whether it is a one-off deployment or an ongoing platform build. ## Browse Related Service Categories MLOps is one part of the AI and machine learning stack. Explore related service categories on Zinn Hub to find the right specialist for your project. [DevOps Engineering](https://zinnhub.com/zinns-category/programming-and-tech/devops-engineering/) [CI/CD](https://zinnhub.com/zinns-category/programming-and-tech/devops-engineering/ci-cd/) [Containerisation](https://zinnhub.com/zinns-category/programming-and-tech/devops-engineering/devops-containerization/) [Cloud Computing](https://zinnhub.com/zinns-category/programming-and-tech/cloud-computing/) [Machine Learning](https://zinnhub.com/zinns-category/data/data-science-and-ml/machine-learning/) [AI Development](https://zinnhub.com/zinns-category/programming-and-tech/ai-development/) ## Browse Zinner Skills Hire by skill. These freelancer categories are the specialists most often paired with MLOps and model deployment projects. [MLOps & Model Deployment](https://zinnhub.com/freelancers/category/mlops-model-deployment/) [Machine Learning Models](https://zinnhub.com/freelancers/category/machine-learning-models/) [AI Integration](https://zinnhub.com/freelancers/category/ai-integration/) [Data Science & ML](https://zinnhub.com/freelancers/category/data-science-machine-learning/) [AI Development](https://zinnhub.com/freelancers/category/ai-development/) [Automation & Workflows](https://zinnhub.com/freelancers/category/automation-workflows/) ## Find MLOps Services by Type Jump straight to what you need — these searches run across the whole marketplace. [Model Deployment](https://zinnhub.com/search-all/?q=model+deployment&zhus_src=pill_desktop) [ML Pipelines](https://zinnhub.com/search-all/?q=ml+pipelines&zhus_src=pill_desktop) [Model Serving](https://zinnhub.com/search-all/?q=model+serving&zhus_src=pill_desktop) [ML Monitoring](https://zinnhub.com/search-all/?q=ml+monitoring&zhus_src=pill_desktop) [Kubernetes ML](https://zinnhub.com/search-all/?q=kubernetes+ml&zhus_src=pill_desktop) [Cloud ML Deployment](https://zinnhub.com/search-all/?q=cloud+ml+deployment&zhus_src=pill_desktop) [Model Scaling](https://zinnhub.com/search-all/?q=model+scaling&zhus_src=pill_desktop) [ML Infrastructure](https://zinnhub.com/search-all/?q=ml+infrastructure&zhus_src=pill_desktop) ### Not Sure Who to Hire? Tell Zinn Finder what you need and get matched with the right MLOps engineers for your project. [Try Zinn Finder](https://zinnhub.com/search-all/?q=mlops+model+deployment&zhus_src=pill_desktop) ### Browse Every Engineer Prefer to look yourself? Explore the full MLOps and model deployment freelancer category and compare profiles. [Browse All MLOps Engineers](https://zinnhub.com/freelancers/category/mlops-model-deployment/) Looking for something broader? Browse all [freelancers](https://zinnhub.com/freelancers/), all [open projects](https://zinnhub.com/projects/), or explore the wider [machine learning](https://zinnhub.com/freelancers/category/machine-learning-models/) and [AI integration](https://zinnhub.com/freelancers/category/ai-integration/) categories. ✓ 100% Free to Post ## Or Post an MLOps Project for Free Submit a brief, set your own budget, and verified MLOps engineers come to you with proposals — you choose who to hire. Every freelancer is **ID-verified and skill-verified**, and your payment is held securely in **escrow by the platform** until the work is delivered and approved. 🛡️ ID-Verified ✅ Skill-Verified 🔒 Escrow-Protected 💸 Free to Post [Post an MLOps Project — Free](https://zinnhub.com/dashboard/buyer/projects/?view=post) [Browse Open MLOps Projects →](https://zinnhub.com/projects/category/mlops-model-deployment/) [Hire MLOps Engineers directly →](https://zinnhub.com/freelancers/category/mlops-model-deployment/) [Hire ML Engineers →](https://zinnhub.com/freelancers/category/machine-learning-models/) [Hire AI Integration experts →](https://zinnhub.com/freelancers/category/ai-integration/) [All freelancers →](https://zinnhub.com/freelancers/) [All open projects →](https://zinnhub.com/projects/) ## How to Hire an MLOps Engineer From model to reliable production system in five simple steps — with escrow protection the whole way. 1 ### Describe Your Setup Share your model, your cloud, and what you need: deployment, pipelines, monitoring or scaling. 2 ### Compare Engineers Browse verified profiles, packages and reviews, or post a brief and receive proposals. 3 ### Agree Scope & Access Confirm deliverables, uptime targets, the stack and how cloud and repo access is shared. 4 ### Order with Escrow Pay into secure escrow. Your money is protected until the work is delivered and approved. 5 ### Review & Go Live Approve the deployment, take the system into production, and release payment when you are happy. [Find an MLOps Engineer](https://zinnhub.com/search-all/?q=mlops+model+deployment&zhus_src=pill_desktop) ## MLOps & Model Deployment FAQs Everything you need to know before you hire an MLOps engineer on Zinn Hub. MLOps is the practice of taking machine learning models out of notebooks and running them reliably in production. It covers deployment, pipelines, versioning, monitoring, scaling and retraining, so a model keeps working as data and load change over time. Without MLOps, a model that performed well in testing often breaks, drifts or becomes a maintenance burden once real users depend on it. An MLOps engineer builds the infrastructure that keeps your model dependable, observable and easy to update. You can commission model deployment and serving, training and inference pipelines, CI/CD for ML, monitoring and drift detection, containerisation with Docker and Kubernetes, feature stores, model registries and versioning, auto-scaling, cloud and edge deployment, and automated retraining. Engineers can deliver a one-off deployment, build your full ML platform, or maintain and improve existing infrastructure. Cost depends on the complexity of your stack, how many models you are deploying, your scale and uptime needs, and whether ongoing maintenance is included. Deploying a single model behind an API is far cheaper than building a full ML platform with pipelines, monitoring and auto-scaling. On Zinn Hub each engineer sets their own rates and posts clear packages, so you can compare scope and price before you commit, with no hidden platform fees on your first orders. Common tools include Docker and Kubernetes for containerisation, MLflow, Kubeflow, Metaflow and Airflow for pipelines and tracking, and serving frameworks such as BentoML, Seldon, TorchServe or Triton. Engineers deploy on AWS SageMaker, Google Vertex AI, Azure ML or self-hosted clusters, and use monitoring tools like Prometheus, Grafana and Evidently. The right stack is chosen around your cloud, scale and team. A straightforward deployment of an existing model behind an API can be delivered in a few days, while a full production setup with pipelines, CI/CD, monitoring and auto-scaling typically runs from two to six weeks. The biggest factors are your existing infrastructure, uptime requirements and how many models are involved. Your engineer will give you a milestone plan before work begins so you know what is delivered at each stage. Yes. Most MLOps work starts from a model and an environment you already have. Engineers are typically cloud-agnostic and can work with AWS, Google Cloud, Azure or self-hosted infrastructure, fitting deployment and pipelines around your existing tools rather than forcing a rebuild. They can also advise where your current setup will hit limits and recommend changes before they become problems. Every order is held securely in escrow by the platform and only released once the work is delivered and approved, so your money is protected throughout. Every engineer is ID-verified and skill-verified before they can sell. You can agree confidentiality terms directly with your engineer, and you stay in control of which models, data and cloud credentials you share and when. Yes. A core part of MLOps is keeping models healthy after launch. Engineers can set up monitoring for performance, latency and data drift, alerting so you know when something changes, and automated retraining pipelines that refresh the model on new data. You can scope this as part of the initial build or as ongoing maintenance, so the system keeps performing rather than quietly degrading. [Browse MLOps Services](https://zinnhub.com/search-all/?q=mlops+model+deployment&zhus_src=pill_desktop) [View All MLOps Engineers](https://zinnhub.com/freelancers/category/mlops-model-deployment/) ## Hiring MLOps & Deployment Engineers: A Practical Guide Most machine learning projects do not fail at the model — they fail at production. A model that scored beautifully in a notebook is worthless if it cannot be served reliably, if no one notices when it drifts, or if scaling it means a weekend of firefighting. MLOps is the engineering discipline that closes the gap between a working prototype and a dependable production system, and hiring the right engineer for it is often what decides whether your ML investment pays off. ### What an MLOps engineer actually does A good MLOps engineer thinks in systems, not scripts. They containerise your model and serve it behind a fast, resilient API; they build pipelines so training and inference are repeatable rather than manual; they add monitoring so performance, latency and data drift are visible; and they set up CI/CD so new model versions ship safely with rollback. The aim is a system that keeps working with minimal intervention, scales with demand, and can be audited and improved over time. ### Common MLOps and deployment use cases - **Model deployment** — serving an existing model to production behind an API or endpoint. - **ML pipelines** — automated, repeatable training and inference workflows. - **Monitoring and drift detection** — alerts when a model starts to degrade. - **CI/CD for ML** — safe, automated delivery of new model versions. - **Scaling and containerisation** — Docker, Kubernetes and auto-scaling for real load. - **Automated retraining** — pipelines that refresh the model on new data. ### How to brief your project well The clearer your brief, the better your proposals. Describe the model you have, where it needs to run, and what matters most — latency, uptime, cost or scale. Say what cloud you use and what is already in place, so engineers can fit around your stack rather than rebuild it. Be explicit about whether you want a one-off deployment or ongoing maintenance with monitoring and retraining. Agreeing success criteria up front avoids surprises, and on Zinn Hub you can set this out before any money changes hands. ### Why hire through Zinn Hub Infrastructure work carries real risk if you hire blind — a bad deployment can cost uptime, money and trust. Zinn Hub reduces that risk: every engineer is ID-verified and skill-verified, every order is held in escrow and released only when the work is delivered and approved, and pricing is transparent before you commit. You keep control of your access and credentials, you communicate directly with your engineer, and you benefit from low fees, instant payouts and over 100 crypto payment options. Whether you need a single deployment or a full ML platform with ongoing support, you can hire with confidence. [Hire an MLOps Engineer Today](https://zinnhub.com/search-all/?q=mlops+model+deployment&zhus_src=pill_desktop) [Computer Vision Marketplace →](https://zinnhub.com/marketplaces/computer-vision-marketplace/) [RAG & Vector Database Marketplace →](https://zinnhub.com/marketplaces/rag-development-marketplace/) [Hire MLOps Engineers →](https://zinnhub.com/freelancers/category/mlops-model-deployment/) [Hire ML Engineers →](https://zinnhub.com/freelancers/category/machine-learning-models/)