Get your machine learning models into production and keep them there by hiring MLOps engineers from CodesClue. Our engineers build the pipelines, registries, deployment systems and monitoring that turn data science experiments into reliable services.
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At CodesClue, we help businesses hire MLOps engineers who bring DevOps discipline to machine learning: automation, versioning, testing and observability for data, models and code.
Hire MLOps engineersOur engineers have built ML platforms on SageMaker, Azure ML, Vertex AI and Kubernetes with MLflow, Kubeflow and Airflow.
Every model gets a reproducible pipeline, automated evaluation gates and monitoring for drift and performance.
We Helped 50+ Companies Enhance Their IT Products
Our dedicated MLOps engineers cover the platform side of machine learning end to end.
Automated, reproducible training with versioned data and tracked experiments.
Real-time and batch inference services on Kubernetes or managed endpoints, with canary and rollback.
MLflow or cloud registries that record every model, its data and its metrics.
Drift detection, performance dashboards and scheduled retraining when accuracy drops.
Consistent features for training and serving, built on your warehouse or lake.
SageMaker, Azure ML, Vertex AI or open-source platforms configured for your team's workflow.
We offer flexible engagement models tailored to your project scope, timeline, and business objectives. Whether you need a dedicated development team, fixed scope project delivery, or a time & material approach, we ensure transparency, scalability, and cost efficiency. Our goal is to create a collaboration structure that supports long-term growth and predictable outcomes.
Our Dedicated Team model provides you with a fully committed development team aligned exclusively with your project. The team works as an extension of your in-house staff, following your processes, tools, and time zones. This model offers maximum flexibility, transparent collaboration, and full control over priorities. It is ideal for long-term projects and evolving product requirements.
IT Staff Augmentation allows you to quickly scale your team with skilled developers and technical experts. This model helps fill specific skill gaps without the overhead of full-time hiring. Our professionals integrate smoothly into your existing team and workflows. It provides flexibility to scale up or down based on project needs. This approach reduces hiring risks while maintaining full project control.
We work with modern, scalable, and industry-proven technologies across frontend, backend, mobile, cloud, and database systems. Our team selects the right stack based on your business requirements, performance expectations, and future scalability needs. From web and mobile frameworks to cloud infrastructure and DevOps tools, we build solutions that are secure, flexible, and growth ready.
CodesClue is a trusted AI development partner for businesses in the US, UK and Europe. When you hire MLOps engineers from us, you get people who have run models in production and know what breaks, with a process that keeps you informed every day.
Hiring a MLOps engineer from CodesClue is simple and efficient.
Tell us what you need built, the skills involved and your timeline. We review it and come back with questions, not assumptions.
We shortlist MLOps engineers whose experience matches your work and share their profiles within days.
You interview the candidates, set them a task if you like, and choose who joins your team.
Your engineer starts on the agreed hiring model, inside your tools and process, with daily updates from day one.
Our MLOps engineers treat models, data and code as one versioned system, with automated pipelines and monitoring that catch problems before users do.
Startups, SMEs and large organizations trust us with their software projects. Here is what they say.
Send your requirementsWas great to work with Ketan. Always optimistic, very professional and hard worker. Knew how to solve complex problems. Great project manager. Recommend them for web development.
Nico Alexander, CEO at TracknTake
Communication was a key part of this any new features and updates were handled with care and done in a promptly manner. While what we were asking for was not always worded in the correct manner for the I.T. space they always understood what we were asking for.
Kasim, CEO at Snakz
A very client centric company with incredible top executives. They have years of experience and outstanding knowledge. Never faced an issue with scheduling meetings, or change notifications.
Mrulay, CEO at Therapix
CodesClue Technologies delivered a high-quality product that met the client's expectations. The team maintained high professionalism and clear communication throughout the engagement. Moreover, they were highly responsive to the client's needs and proactive in problem-solving.
Ibrahim al Sulati
CodesClue Technologies built a secure, user-friendly platform for managing digital legacies on NextLifeBook. The team ensured seamless functionality, strong data security, and an intuitive experience. Despite challenges, their dedication and attention to detail delivered a meaningful product that helps users plan and preserve their legacy effectively.
Lucas White
Straight answers to what clients ask us before they hire.
Most models fail in production, not in the notebook. An MLOps engineer builds the pipelines, deployment and monitoring that keep models accurate, available and affordable.
AWS SageMaker, Azure Machine Learning, Google Vertex AI, Kubernetes, Kubeflow, MLflow, Airflow and the surrounding data and DevOps tooling.
Usually within a few days of the interview, once the hiring model and scope are agreed.
Full-time (9 hours a day), part-time (4 hours a day) and hourly. You can change the model as the work changes.
Our team is based in India, the US and Germany, so we provide working-hours overlap with North America, the UK and Europe.
Yes. We sign an NDA before the engagement and work inside your cloud accounts and access controls.
Yes. MLOps engineers typically pair with your data scientists, taking their models into reliable pipelines and giving them tooling to iterate faster.
Our team is based in India, the United States and Germany, which gives you working-hours overlap across Asia, Europe and North America.
Three ways, matching our engagement models: a dedicated team billed monthly, staff augmentation where you add individual engineers to your own team, or a fixed-scope project with an agreed timeline and budget. The first consultation is free; we scope your requirements there and quote after it.
Security is built into every engagement: data encrypted in transit and at rest, role-based access control, logging and monitoring, and audit-ready configuration. For regulated industries we design to the relevant standard, for example HIPAA-ready systems for healthcare. We sign an NDA before any engagement, so your systems and data stay confidential from the first conversation.
Tell us what you need. We shortlist developers for you to interview, and there is no charge for project management.
