MLOps Engineer outsourcing in the Philippines
Scaling artificial intelligence from a notebook script to a reliable enterprise service is a fundamental pillar if you truly want to realize the ROI of your AI investments. Hiring and training an internal team of MLOps Engineers or using local high-cost specialized AI labs can be incredibly expensive, often involving fierce competition for talent in a scarce global market. Luckily, an incredibly effective and cost-saving option—offering up to 70% savings compared to Western tech hubs—is to hire dedicated ML operations executives offshore in the Philippines. It’s time to consider MLOps Engineer Outsourcing Services with Outsourced Philippines.
At Outsourced, we have experience hiring MLOps Engineers who join your team (remotely) and, using their technical and architectural perspective, automate your model deployment pipelines and deliver results. At a fraction of the cost of hiring internal staff, your offshore team can manage your model monitoring and retraining cycles day in and day out, freeing up your Data Scientists to focus on high-level research and growing your business.
We can hire experienced MLOps Engineers who will transform your experimental models into a viable production strategy which they will then implement. With specialists in CI/CD for ML, containerization (Docker/Kubernetes), and feature stores, they can create a robust AI lifecycle across your entire organization that works together to help your business flourish.
Whether you need a home-based remote MLOps Engineer or a team of office-based AI infrastructure specialists in Manila or Cebu, look no further than Outsourced.
Hire dedicated offshore MLOps Engineers and save up to 75% on local hiring costs
Calculate the savingsMLOps Engineer Outsourcing
We have experience hiring for various Machine Learning and DevOps roles in the Philippines such as:
- MLOps Engineer
- Machine Learning Platform Engineer
- AI Infrastructure Engineer
- Data Engineer (ML Pipeline focus)
- Model Monitoring Specialist
- AI/ML DevOps Specialist
- Computer Vision Ops Engineer
- NLP Systems Engineer
- AI Quality Assurance (QA) Engineer
- Cloud AI Architect (AWS SageMaker/Azure ML/GCP Vertex AI)
- Many more…
Your MLOps Engineer can assist with your Machine Learning Pipeline Automation, Model Deployment and Scaling, CI/CD for ML, Infrastructure as Code (IaC), Model Performance Monitoring, Feature Store Management, Data Versioning, Distributed Training Optimization, and any other AI infrastructure or lifecycle management roles your business requires.
Hire AI-Augmented MLOps Engineers in the Philippines
At Outsourced, we recruit high-performing MLOps Engineers in the Philippines who are skilled in leveraging Agentic AI and automated orchestration tools to drive 100% system reliability and faster deployment frequencies. These professionals are experienced with platforms like Kubeflow or MLflow for lifecycle management; Weights & Biases for experiment tracking; and Evidently AI or Whylogs for AI-driven data drift detection and model observability.
In the Philippines, hiring an MLOps Engineer offers significant cost benefits due to a rapidly maturing tech ecosystem and a workforce that is world-renowned for its English proficiency and integration into global agile teams. This arrangement also provides a significant 24/7 "Follow the Sun" advantage, allowing your offshore team to manage compute-intensive model training, data labeling, and security patching while your local team is offline. Your offshore MLOps Engineer can assist with your Model Deployment, Pipeline Automation, Infrastructure as Code (IaC), Performance Monitoring, and Scalability Tuning, and any other AI operational roles your business requires.
Get tailored advice on building your offshore team. Book a Call
Why hire MLOps Engineers at Outsourced?
Offshore outsource your MLOps engineering to the Philippines and access superior technical talent.
-
Hire the best
Find qualified staff in the top 1% of MLOps engineering talent in the Philippines.
-
Retain your staff
Secure engaged and productive MLOps engineers at a certified Great Place To Work.
-
Remain secure
Ensure company data stays protected with ISO-certified data management practices.
As featured in
"Outsourced has established itself not just as a staffing company, but as a comprehensive solutions provider"
Outsource dedicated MLOps Engineers in 4 steps
Whether you need a home-based remote MLOps Engineer to streamline your model deployments or a team of office-based machine learning specialists to manage your entire AI lifecycle, look no further than Outsourced.
-
1
You provide us with a job description
Just tell us what you need
-
2
We recruit talented professionals
Only the best. Quality assured
-
3
Your dedicated staff report to you daily
Full time remote or office-based
-
4
We manage the operations
And ensure quality standards
Vice President Customer Care
“Outsourced are an extremely professional organisation, easy to to do business with and lightening fast at sorting things out.”
Download your copy now
Access the Genesys – CX case study by filling in your details.
Complete form to download instantly
Frequently asked questions
Hiring an outsourced team of MLOps engineers is easier than you think. Didn’t find the answer you were looking for? Contact us.
How do I hire a MLOps Engineer with Outsourced?
Hiring an MLOps engineer through Outsourced is simple and transparent. First, we work with you to define your technical requirements, including expertise in machine learning pipelines, automation, and cloud infrastructure. Our recruitment team then sources the top 1% of talent from our specialized technical network.
We conduct rigorous screening, technical skills testing, and interviews to shortlist the most qualified candidates for you to review. Once you make your selection, we handle all employment, HR, IT, and legal compliance so your new MLOps engineer can work as a dedicated full-time extension of your team.
How much does it cost to hire a MLOps engineer?
The cost of hiring an MLOps engineer depends on factors such as their proficiency with automation tools, experience in cloud architecture, and seniority. At Outsourced, pricing is fully transparent.
We provide one simple fixed monthly invoice that combines the engineer’s salary with our service fee, which covers specialized technical recruitment, HR, payroll, high-spec IT support, and compliance. This model allows you to secure top-tier engineering talent at up to 75% less than hiring locally, while you maintain full control over their workflows and production deployments.
Try our team builder calculator.
Why hire a MLOps engineer through Outsourced?
Outsourced gives you access to highly skilled MLOps professionals backed by ISO-certified systems, premium facilities, and an award-winning staff culture. Unlike freelance platforms, we provide dedicated full-time engineers who become an integrated part of your technical team, ensuring your machine learning models move seamlessly from development to production.
With 98% staff retention and clients across APAC, North America, and Europe, we’re trusted by hundreds of companies to build high-performing offshore engineering teams that scale reliably.
View 25 reasons why Outsourced here
How quickly can I hire a MLOps engineer?
You can typically hire an MLOps engineer through Outsourced in 2 to 4 weeks (plus notice period), depending on the complexity of your technical stack and candidate availability.
Our recruitment team moves fast, sourcing and shortlisting top-tier engineering talent so you can interview qualified candidates within days. Once you select your preferred hire, we handle all onboarding, technical IT setup, HR and payroll, and legal compliance, allowing them to begin optimizing your machine learning pipelines as soon as possible.