Hire freelance and contract machine learning engineers worldwide

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.

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Vetted freelancers on the network

150,000+

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Countries with compliant freelancer payments

165+

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From signed brief to signed contract

<24 hrs

Work with top, vetted freelance machine learning engineers

Browse freelance machine learning engineers by stack, cloud platform, sector, availability and day rate.
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Why hire a freelance machine learning engineer?

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.

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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.

One directory for every machine learning engineer

Keep every machine learning engineer you work with, whether you found them on YunoJuno or brought them with you, in one searchable directory.

Compliant and vetted

Every engagement is assessed for worker status, backed by misclassification indemnification.

Keep up with payments

Pay freelancers and contractors in 165+ countries from one supplier, with tax deducted at source where required.

How does hiring a freelance machine learning engineer work on YunoJuno?

1

Create your brief

Describe the project, skills, timeline and budget. Publish it and let relevant machine learning engineers respond, or search the network directly.
2

Browse and book machine learning engineers

Review vetted profiles with availability and day rates, message freelancers directly, and agree scope, rate and whether the work is remote, on-site or hybrid.
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3

Contract, work and pay in one place

Contracts, worker classification, timesheets and payments all run through the platform, so every engagement is compliant wherever your freelancer is based.

What does a freelance machine learning engineer do?

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:

Turning prototype models into production-ready services.
Building data, training and inference pipelines.
Deploying models with APIs, containers and cloud services.
Setting up monitoring for performance, drift and data quality.
Automating retraining and model versioning.
Optimizing latency, cost and scalability.
Working with MLOps tools such as MLflow, Kubeflow or SageMaker.
Collaborating with data scientists, data engineers and software teams.

How much does it cost to hire a freelance machine learning engineer?

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.

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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.

Manage your freelance machine learning engineers beyond the hire

Finding the right freelance machine learning engineer is only the first step. YunoJuno gives your team the tools to onboard, contract and pay every machine learning engineer compliantly, with IP assignment covering the code they deliver, and milestone approvals for each project, whether you hire one freelancer or run a program across your company.

Onboarding

Bring new or existing developers onto the platform quickly.

Worker classification

Every engagement is assessed for worker status.

Contracts, including IP assignement

Create, send and store contracts.

Timesheets & approvals

Approve hours or milestones through a simple workflow.

Payments

Pay developers from one supplier, tax deducted at source where required.

Reporting & spend visibility

See who you're engaging, where, and at what cost across engineering.

Enterprise teams already seeing results

77%
reduction in workforce
costs
Global CPG · enterprise contingent workforce program across multiple regions

"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."

75%
reduction in time to hire + full spend visibility
Canon logo
Global imaging and technology · creative and technical contractor program

"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."


Frequently asked questions

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:

  • Strong software engineering skills in Python and related languages
  • Experience deploying models to production
  • Knowledge of MLOps tools and practices
  • Cloud platform experience on AWS, Azure or Google Cloud
  • Containers, CI/CD and infrastructure as code
  • Monitoring and drift detection experience
  • Understanding of ML fundamentals and frameworks such as PyTorch or TensorFlow
  • Collaboration with data scientists and engineers

Useful questions to ask before you book:

  1. Which ML systems have you taken to production, and at what scale?
  2. How do you deploy and serve a model?
  3. How do you monitor models and detect drift?
  4. How do you automate retraining and versioning?
  5. Which MLOps tools and cloud services do you use?
  6. How do you handle latency and cost?
  7. How do you work with data scientists?
  8. Can you share architecture examples or references?

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.

Manage your global contractor workforce with confidence

From sourcing to payments, manage your contingent workforce with automation, compliance, and real-time visibility built in.

Are you a freelancer? Join YunoJuno

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