YunoJuno connects you with vetted freelance and contract machine learning engineers who build, deploy and run machine learning systems in production. Onboard, contract and pay them in 165+ countries, with compliance handled for you.















A model only creates value once it runs reliably in production. A freelance machine learning engineer brings the software and MLOps skills to take models from notebooks to dependable services, with monitoring and retraining in place.
Freelancers also give you flexibility. Add an ML engineer to deploy a model, build a pipeline, scale a system or set up MLOps, or to cover a gap in your team, then hand over when it's stable. They bring patterns from other production systems.






A freelance machine learning engineer builds and operates machine learning systems, on a project or contract basis. They productionize models, build training and inference pipelines, set up serving, monitoring and retraining, and make systems scalable and reliable. They focus on engineering and operations, while machine learning specialists focus on developing and tuning models. Typical responsibilities include:
Day rates for freelance machine learning engineers vary with seniority, stack and cloud platform, system scale, sector experience, and location. Each freelancer's day rate is shown on their YunoJuno profile, so you can compare options against your budget before you get in touch.
Every year, YunoJuno analyzes data from the projects booked through the platform and publishes it in the Contractor Rates Report. Download the latest rates report to benchmark day rates and project trends.

"YunoJuno is a seamless experience and takes a lot of the stress away. Itreally helps from an agility and productivity perspective, quickly answering the business needs and helping to create a much more diverse and output-focused team. The quick payment of freelancers is a game changer — we have managed to reduce time to hire from a week to a couple of hours."
"There were a few critical results for us. The obvious one was keeping everything housed in one place — payments and keeping track of monthly spending. Perhaps more importantly, we were able to build up a bulletproof directory of talent. This has been super helpful for us as a team and as a business, across our regions."
Hire a freelance machine learning engineer when you have a model that needs to go into production, when ML systems are unreliable or hard to maintain, or when you're building MLOps. They're also useful for scaling inference, for monitoring and for covering a vacancy.
Machine learning engineers vary by focus. Some specialize in MLOps and platforms, others in serving and performance, real-time systems or large language model deployment. Many come from software engineering. For developing and tuning models, a machine learning specialist may fit better, and a data scientist suits analysis and experimentation. For AI applications on existing models, consider an AI engineer. Match their experience to your cloud, tools and scale.
Browse all freelance data specialists on YunoJuno.
Look for a mix of software and ML skills:
Useful questions to ask before you book:
The cost of a freelance machine learning engineer depends mainly on seniority, stack and cloud platform, system scale, sector experience, and location. Freelancers set their own day rates, which you can see on their YunoJuno profile before you make contact.
For benchmarks, see YunoJuno's Contractor Rates Report, built from rates data on projects booked through the platform. For what it costs to use YunoJuno itself, see the pricing page.
Post a brief or search the network, and book a freelance machine learning engineer based in or outside your own country. YunoJuno supports payments in 165+ countries and assesses worker classification for every engagement, so you can engage independent talent without managing the compliance work yourself. That includes US contractor compliance for 1099 and W-2 engagements and IR35 status determinations in the UK, as part of YunoJuno's wider global compliance coverage.
It is also fast. Onboarding takes under 5 minutes, worker classification around 15 minutes, and a contract can be in place in under 24 hours. YunoJuno also provides misclassification indemnification, adding protection if a classification is ever challenged.
From sourcing to payments, manage your contingent workforce with automation, compliance, and real-time visibility built in.
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