The 15 best sites to hire MLOps Developers in 2024

Updated on May 21, 2024
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Kelly Wilson
Written by Kelly Wilson

Strategist and entrepreneur, with experience in hiring developers across various industries. Kelly has established herself as a trusted expert in identifying and recruiting top tech talent. She shares advanced tips on how to identify the right talent, create hiring strategies, develop your tech teams and much more.

Expertise: IT Recruiting, Tech, Marketing

Machine learning has quickly become an essential piece in data development and analysis. MLOps developers use machine learning to design computer systems to improve productivity. When you need to find MLOps developers for your organization or project, use our guide to hire MLOps developers, with tips and tricks for recruiting, hiring and paying a professional in this field.

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Here are the top 15 sites to hire freelance MLOps Developers

Based on facts publicly available as of 01.01.2024

1. Toptal

Hiring tech workers is no easy feat. You need useful sites and resources to find the best MLOps developers, like our favorite tool, Toptal. A remote hiring marketplace ideal for businesses that need talented IT workers, Toptal works with your company’s needs to build a team of highly qualified, expertly matched freelancers for your project.

Clients have raved about their customer service, like Juan, who says, “The service is excellent, from the experience on the website to the attention they provide. Always ready to help and facilitate everything.”

  • Enjoy a risk-free trial for up to 5 days.
  • Completed over 60,000 projects for 25K+ satisfied clients.
  • Trustpilot rating of 4.8 out of 5.

2. Arc.dev

Another source for hiring machine learning engineers is the remote freelance marketplace Arc.dev, which specializes in engineers and developers. Arc.dev also has a comprehensive vetting process for developers. Our team noted that developers from the site must pass communication tests and technical evaluations to be part of the database.

  • Clients simply have to make an account, post their requirements and speak to one of Arc.dev’s project managers to land a new hire in about 72 hours.
  • The site offers a generous three-month trial period for permanent employees and a free two-week trial for freelancers.

3. Upwork

Upwork is a hiring marketplace with freelance MLOps engineers and other types of workers in creative, technical and marketing fields. This site is more for self-service hiring rather than companies in need of a dedicated account manager. Clients sign up and post a project for freelancers to bid for in a competitive process.

  • Companies must do the screening work themselves by using Upwork’s feedback ratings for freelancers and spending a lot of time reviewing resumes, qualifications and interview responses.
  • After hiring a freelancer, clients can use Upwork’s management and payroll platform to collaborate, track and pay their talent.

4. Eventum

If you want to find MLOps developers and other niche workers in the AI field, check out Eventum. This site promises to deliver when you need specialized freelance talent for your project in less than a week. They aim to recruit the top 1% of the exclusive talent pool using a rigorous big-tech interview process style that is not for the faint of heart.

  • Eventum offers freelance workers on-demand and project management services for a more boutique experience.
  • Clients do not pay any upfront recruiting fees and enjoy a risk-free two-week trial period for any matched hires.

5. Codementor

The next site on our list to hire MLOps specialists is Codementor, famous for its dedication to coding projects. This platform and freelance marketplace connects people needing advice about coding projects or clients needing manpower help from developers. Talented developers set their own hourly rates to assist you with your project.

  • After posting your project, developers may start responding in as little as 10 minutes.
  • Codementor uses an escrow service to hold onto your freelancer’s payment until you confirm the completion of the job.

6. UltraGenius

When you need a handpicked team of developers that work with your project’s timeline, consider UltraGenius. This remote talent outsourcing firm, based in India, prides themselves on pinpointing the right person for your project in about one day. Their database of talent primarily includes tech workers and developers.

  • This site’s vetting goes beyond the typical skills and qualifications, such as evaluating people skills and screening for problem-solving ability.
  • UltraGenius’s list of previous clients includes Google, Apple, Amazon and Facebook.

7. Proxify

Proxify’s goal since 2018 has been to source talented developers and link them up with companies needing their services. Based in London, the site has a detailed assessment process that uses AI tools and a technical evaluation. Find freelance MLOps developers and other types of tech workers in just a few days using their proprietary system.

  • Only one in 50 applicants gets accepted to Proxify’s team of vetted developers.
  • According to business client reviewer William Chimeri, “I'm very impressed with the experience level of both developers that I hired. The process has been very smooth and flexible so far.”

8. Freelancer

If you want to look beyond the niche tech worker sites, consider the general freelance marketplace Freelancer for your needs. Freelancer could help you hire freelance MLOps specialists by giving you access to its huge database of contractors looking for work. The site provides the tools for businesses to find remote workers from around the globe.

  • While the site is massive, it is challenging to find the exact type of freelance worker with niche skills in MLOps or other engineering tasks.
  • Businesses have to be cautious when contracting new talent without many reviews since there are reports of scammers on the site.

9. PeoplePerHour

Teams that need talent at a lower price point than some of the skills-focused sites on this list may want to look at another general remote talent website, PeoplePerHour. Your team must take the lead on hiring freelancers like data scientists and developers by posting a job on its bid board. Freelancers who want to learn more about the posting submit a proposal and their portfolio for consideration.

  • It is essential to write a detailed job posting and deliverable so the right freelancer understands what you need and applies.
  • Your staff will have to sift through bids and resumes and do the interviewing and onboarding yourself.

10. Optymize

If you would rather not do all of the recruiting and onboarding yourself, think about using Optymize, which handles these tasks for you. Hiring MLOps engineers is fast and painless with this business-friendly service that promises a shortlist of talent within 48 hours. Optymize prides itself on having better match rates for developer placement than its competitors.

  • Vetting includes manually checking each user’s profile, technical interviews and coding challenges.
  • Optymize boasts a 97% success rate from their database of freelance coders and developers.

11. CloudDevs

Sometimes you need talent that is more high caliber than what is available from traditional freelance marketplace sites. CloudDevs may have what you need, especially if you require a senior development team for your complicated coding project. CloudDevs features talented developers in Latin America and works with Fortune 500 companies, startups and everything in between.

  • Freelancers through CloudDevs work in the same local timezone as many American cities, making things much more convenient for your workflow.
  • CloudDevs provides NDAs for your freelancer and ensures your company owns all of the rights to any work created by your contracted worker.

12. Perfsol

Perfsol is primarily a software development firm that assists with all steps of the product development process, including hiring developer talent. There are different models of working with Perfsol, such as getting consulting advice or partnering with them to source talented MLOps engineers or AI engineers. They price their developers via a custom quote that is dependent on experience and your requirements.

  • Each developer they provide for your team gets thoroughly evaluated for problem-solving, experience and technical aptitude.
  • The team at Perfsol helps guide you along the hiring process, listens to your needs and matches you with the perfect type of professional.

13. Newxel

Newxel is a staffing provider for teams that require remote talent in the tech industry. With locations in Florida, Cyprus and Ukraine, they source talent locally and internationally. They have different recruiting and hiring models, such as full-time development teams, scaled talent teams and staff augmentation teams.

  • The talent recruited through Newxel primarily has skills in AI, Big Data and cybersecurity.
  • They feature dedicated hiring and human resources teams to help your freelancers integrate into your corporate company culture and find success.

14. ElevateX

Companies that only want to deal with freelancers in the IT marketplace should look to ElevateX, a newcomer in the industry. ElevateX has an impressive 5.0 rating on Glassdoor.com and a strong showing with 225% growth in the last six months in their freelancer community. They help you find the right team of IT contractors by prioritizing skills and high-quality talent.

  • The site provides a shortlist of top candidates with your requested skills within 48 hours of first contact.
  • Clients start by filling out their free needs assessment to get more details about potential matching freelancers.

15. Upper

The last source for freelance talent comes from Upper, a marketplace of remote European talent. They have more than 1,000 IT specialists ready to go for your developer needs at any given time. If you need someone more niche and outside of their database, they work to find the right match.

  • Less than 5% of IT workers who apply to be on Upper’s team get approved.
  • Upper’s clients for freelance talent include IBM, Oracle, Spotify, Vodafone and Hootsuite.

Guide to hiring great freelance MLOps Developers

Benefits of using machine learning

MLOps is an abbreviation for machine learning operations. Machine learning is a type of artificial intelligence that uses data models and machine processes to teach computers how to learn things. It is a much more efficient and cost-effective way to develop artificial intelligence and gives companies a competitive edge. In this guide, discover how to hire MLOps developers to apply machine learning models to your workflow.

AI and machine learning continue to expand and be a part of all types of workflows and business models. According to Fortune Business Insights, the value of the machine learning market in 2029 will be $209.91 billion, a growth rate of more than 38% since 2022.

Having MLOps engineers on your team and using them to perfect machine learning applications benefits businesses in marketing and sales, healthcare, banking, manufacturing, retail and more. Engineers with this skillset can help companies expand their practices, improve the customer experience, anticipate customer demand, optimize the production process, detect fraud and identify future pandemics.

One instance of a successful integration of machine learning processes in an industry is retail chatbots. Companies employing chatbots saved up to 30% on customer support costs. MLOps engineers offer retail businesses a way to answer critical questions from customers instantly and resolve minor issues right away with chatbots, improving their customer service experience.

This guide walks you through the first step of implementing machine learning strategies in your business operations to be more impactful. Our goal is to show your team how to source potential new hires and freelance developers with this in-demand skill and recruit talented people.

IndustryMachine Learning Uses
RetailPredictive analytics for pricing, customers, inventory
ManufacturingSupply chain and production optimization
BankingAnti fraud and process automation

Hiring a Freelance MLOps Developer

One of the first decisions to make before you hire a freelance MLOps developer is figuring out what type of employee you need. Depending on your needs and the size of your team, you may consider adding full-time employees, part-time workers or independent contractors to your business. Hiring permanent employees means you will likely need to invest in benefits and employer taxes via your payroll servicing system.

If you decide to work with freelance MLOps developers, you may benefit more. First, you will not have to pay extra employer taxes on a freelance contractor’s paycheck. Additionally, a remote employee who is freelance does not need a dedicated office space or company equipment. Freelancers have much more flexibility and can work on demand instead of a set schedule.

What Does a Machine Learning Operations Engineer Do?

Machine Learning Operations Engineers (MLOps) are computer programmers specializing in the ML area of artificial intelligence. They are responsible for making and using computer models to teach AI. They work with data models in production and train algorithms for large-scale models. Machine learning developers oversee the process of using data to implement artificial intelligence systems.

Why hire MLOps developers? Hiring these developers gives you a competitive edge in your field. Having someone with this expertise on your team allows you to automate repetitive tasks and work more efficiently. Machine learning engineers also offer you greater insight into your company’s metrics and data. You will be able to more effectively analyze the data your company collects and make better decisions for your future direction.

To stay competitive in the next digital age, your team needs to harness the power of AI and machine learning. MLOps devs are one of the top tech roles that could revolutionize your business objectives and open your company up to more opportunities. With MLOps developers for hire, you can streamline processes through artificial intelligence and free up your manpower for more innovation and ideas.

One example of harnessing the power of machine learning with an MLOps developer comes from ride-sharing behemoth, Uber. In a case study using machine learning strategies, Uber worked with Machine learning operations developers to create a prediction model to forecast demand for airport rides.

Uber’s challenge was balancing driver supply and demand and managing their customer’s experience. According to the developers,

“The project, launched right before the Christmas and New Year holidays, achieved great success in most business metrics thanks to the cross-functional efforts by the Airport team within Rider Verticals in the Uber Mobility Org.”

Companies that hire dedicated MLOps developers can achieve more with their data and perfect their processes. The technology continues to evolve and expand as developers work more to tweak usage and specifications.

How To Hire MLOps Engineers

Being a top performer in your industry today means you need to master using data. This is where an MLOps developer comes into play. To hire the right MLOps engineer, you need a comprehensive strategy that employs different types of resources and hiring tactics.

First, your team needs to define your needs for machine learning operations. Work with your company’s data scientists, leaders and software team to determine what you require from an MLOps dev. Consider the goals you want to achieve in machine learning and artificial intelligence. Identify if you need full-time, part-time or contract work and the level of skill you want from a developer.

Next, you will need to source candidates from various places, such as freelance sites, developer firms, consulting agencies and networking events. Your team must assess different applicants and their technical skills in machine learning. Entry-level candidates may not have extensive experience in software development lifecycle, but they should have the most up-to-date knowledge about the latest trends in AI.

When looking at mid- or senior-level MLOps developers, you may see more evidence of completed projects that made an impact on a business’s bottom line. They typically have more experience in production software engineering and the management of machine learning.

Choosing a senior or mid-level MLOps engineer may give you more resources at hand, but it could also be more costly. Entry-level contractors can save you initially, but they may not have the right combination of skills and experience. Teams and management should weigh the pros and cons of each applicant before committing to their services.

What Skills To Look For When Hiring an MLOps Developer

Before choosing someone to add to your organization, you need to assess their technical skills and character traits. Look for specific MLOps developer skills that will ensure your team benefits from machine learning tasks. The average MLOps engineer should have several core competencies in technical programming, cloud expertise and machine learning practices.

Besides technical knowledge, MLOps engineers also have to possess integral soft skills. They typically work together with a team of professionals in AI, data science and software development. These are the most sought-after soft skills your team needs to recruit for in an MLOps developer:

  • Ability to explain complex concepts in simple terms: Machine learning operations are a complicated concept for the average person to understand. Developers should be able to break down the ideas in simple terms for the rest of the team.

  • Excellent critical thinking skills: Critical thinking ability is a must in this role. Machine learning problems are often unique and need on-the-spot solutions as they arise.

  • Ease of working well with others: The person in this job must work with a variety of people on the team. They must have strong interpersonal and collaboration skills.

MLOps developers should also demonstrate several important technical skills. They should have academic credentials in computer science, programming, coding, engineering or mathematics. They should also hold certifications in technical capacities related to their role. Here is a list of preferred technical skills to seek in an MLOps developer:

  • Understanding of machine learning algorithms and frameworks such as TensorFlow and PyTorch

  • Coding knowledge of Python and Java

  • Ability to deploy code on AWS, GCP or Azure

  • Understanding of CI/CD pipelines and IaC tools like Terraform or CloudFormation

  • Expertise with Docker and Kubernetes

How Much Does It Cost To Hire MLOps Developers?

According to ZipRecruiter, the average yearly salary for an MLOps developer is $87,220. This would be for a full-time engineer and does not include other incentives your company would pay for, such as benefits, health insurance, bonuses and company stock. The average hourly rate for someone in this job adds up to $51, which is a bargain if you want to work with an hourly freelancer for your project.

Tips for Writing an MLOps Developer Job Description

Since MLOps developers are in demand by companies across industries, you have to do whatever you can to attract the top candidates to work for you. Your team will need to master the art of writing a strong MLOps developer job description. Start with a captivating title, include detailed duties and responsibilities, give information about your company’s perks and have specifics about how to apply for the job for best results.

In addition to writing a stellar MLOps developer job description, you also need to be well-versed in interviewing styles. Work with your team to prioritize diversity in your hires and get talent from a variety of sources. Use behavioral or technical interviews and real-life problem-solving scenarios to get a clear idea of a candidate’s abilities.

Common Interview Questions To Ask When You Are Looking To Hire an MLOps Developer

Interviewing candidates for heavy technical roles in IT is tough when you do not have a strong background in tech. If you collaborate with your management team, you will be able to design an interview session that includes thoughtful questions.

Here is one question to raise at some point: “How would you explain the stages of the MLOps pipeline?” Someone with experience and knowledge will give a detailed answer about the steps in the pipeline. They will describe data acquisition, machine learning models: model training, model evaluation, deployment and model evaluation.

A second question that should be part of your interview is: “How do you deploy machine learning models in production?” A candidate who knows what they need to about machine learning should discuss information about direct deployment, containerization or an automated deployment process with model serving platforms.

A third question to add to your list is: “How do you use collaborative tools with your team?” There are many different types of collaborative tools and software suites. Look for someone who has experience with the software your company uses or shows evidence of an ability to learn a new tool.

How To Find Freelance MLOps Developers for Hire

Having an MLOps engineer join your team could provide valuable insight into your company data and give you ideas for your future direction. The goal is to find MLOps developers who have the right combination of skills and knowledge related to your project.

Our list of sites to hire MLOps developers is an excellent resource for shortlisting freelance candidates. You should also go beyond the sites by checking your in-person network, recruiting from colleges and reaching out to your competitors. One of your best and easiest options for hiring remote workers is by using Toptal, a top-notch source of vetted pros in IT.

The MLOps field is full of incredible talent. The challenge is finding the right person for your project. With this guide, you can hire strong contractors and unlock the potential for maximizing your machine learning projects.

5 places to find MLOps developers

Hire MLOps Developers FAQs

Where can I hire MLOps developers?
You can find MLOps engineers in many places. Some of the top sources for these specialists include tech consulting firms and freelance websites such as Toptal, PeoplePerHour, UltraGenius, Newxel and ElevateX.
Why should you hire an MLOps developer?
Hiring an MLOps developer for your company allows you to access specialized tools in data science. These professionals can help you evaluate data about your business model and make a plan to improve effectiveness and save money.
Are MLOps developers in demand?
MLOps developers are greatly in demand as their role becomes more understood and necessary in many organizations. The AI technology they use is also advancing each year, making skilled professionals with updated tech skills even more in demand and harder to source.

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