Hire ML engineers to build smart AI solutions
Are you looking for ways to revolutionize your business processes through ML? We are ready to help you hire machine learning engineers who can build and implement those solutions.

ML services our engineers are skilled at
- ML software development
- Virtual assistant development
- ML/DL algorithm development for IoT
- ML models maintenance
- Predictive analytics
- Performing statistical analysis
- Visualizing data for deeper insights
Your shortcut to hiring ML engineers
- 01Describe your need
Tell us about your business and its processes. Describe the goals you want to reach with machine learning engineers for hire. How experienced should they be? Do you offer hybrid work or want to hire machine learning engineers?
- 02Review candidates
We carefully select candidates who match your business goals and team requirements, then share their CVs and support you throughout the ML engineer hiring process.
- 03Finalize your choice
You may not find the right candidate for yourself. That’s okay! We keep searсhicng until we hire deep learning experts. After your approval, we help the newcomers integrate with your project and internal processes.
- 04Begin development
After your team is assembled, you can move your business forward while our project manager handles all administrative tasks, making the process far more efficient than hiring ML developers on your own.



Deep expertise across industries
Success stories
Why is Relevant a good place for hiring ML experts?
Agile helps us to optimize resources for hiring a machine learning software engineer. We break this process into four stages and do the following checkups.
Our managers become your partners in the hiring process. You can rely on them for managing all the coordinating activities and administrative tasks.
We help you hire ML engineers who become dedicated to your product and interested in its success. You find not just workers but teammates.
Agree that it is quite a high score. Our clients admit not only our hard skills but the soft ones too. We deeply care about business relationships and comfort.
We have access to one of the largest tech talent pools with 200k+ engineers. You will find and hire an ML engineer for your project.
When you hire a machine learning engineer, you can be sure that we manage all the risks. Our hiring process and methods are constantly improved.
Our core tech stack
Backend
Node.JS Nest.JS Salesforce Java Python .NET PHP TypeScript
Mobile
Swift Kotlin React Native
Frontend
Vue.JS React Next.JS TypeScript Angular
Cloud
GCP Azure AWS Vercel
What clients are saying about Relevant
average
Insights from our experts
Questions you may have
It’s a 4-step process through which we will guide you. Firstly, you have to provide us with core information about your business and its need for an ML engineer. Then we offer the best candidates, and you review their CVs and have interviews. After that, we finalize your choice and help you with onboarding the new team member.
There is no minimum or maximum in hiring professionals. You can hire as many as you need. As long as your business needs new talents to reach its goals, we are here to help you.
We work with any business type you can only imagine, be it a start-up or an enterprise.
We hire AI engineers and other software professionals in such areas:
- Fintech
- Real Estate
- Retail
- Logistics
- Construction
- Travel
- And your particular industry
Our developers use numerous different programming languages to build AI solutions. Python, Java, and C++ are the most popular among our engineers.
You and your business are the only owners of code. All the authorities go to you.
We use a Time and Material model. You pay only for time and resources spent on the project, and we charge it by biweekly invoices. Such a model also supports our agile development process.
When we review ML engineers, we send you the CVs of the best ones. After that, you can choose those to whom you will give tasks to test their skills and have a call after the completion.
Machine learning engineers research, build and design self-running software to automate predictive models. They create AI systems that operate with large data sets to research, develop and generate self-learning algorithms for making predictions.
At Relevant, we take our candidates through multiple assessment levels to determine their hard and soft skills. Firstly we review the candidates’ CVs. Those with relevant experience are invited to the video interview with the recruiter. After the successful interview, the candidate should pass our English test. Then it’s time to check their hard skills and how they deal with technical tasks. If the candidate passes that stage, we ask him to give us professional references from at least two-three persons. In the final, the person has an interview with our CEO. If everyone’s happy with the terms, we send a job offer to the candidate.
As soon as possible! Contact us, and we will respond to you to clarify all the project details.
We hire any type of software professionals you may need. We analyze your business and its needs and suggest relevant talents.
All the tasks and their timing are tracked in Jira software. You can see the whole picture of projects’ tracking and developers’ tasks.
Our offices are in Ukraine and Poland. We have 150+ employees worldwide and hire ML engineers worldwide too. You can be sure that you have access to highly qualified talents with experience in software development of 11+ years.
Each business will find its benefits, but here are some common and crucial:
professional expertise: outsourcing helps you find the best experts in the ML field so they can meet your business needs.
decrease of development time and cost: hiring, training your ML engineers, and providing them with the necessary resources is costly. You’ll save time and money if you hire the exact ML engineer with the right experience;
flexibility: you become flexible in working with different ML systems. It means you can develop more ML projects with other teams.