3,200+ ML Engineers Available

Find a Machine Learning
Engineer

Hire pre-vetted ML engineers specializing in deep learning, NLP, computer vision, and MLOps in as little as 48 hours. Enterprise-grade talent matching powered by AI + human expertise.

  • 48 hrsTime to match
  • Top 3%Acceptance rate
  • 100+Countries

48-hour shortlist · Pre-vetted top talent · No upfront cost.

Trusted by industry leaders

Wella Uber Bloomberg Boeing Coca-Cola

ML Technologies

Every Framework. Every Domain.
One Platform.

Access engineers skilled in the complete ML ecosystem - from deep learning frameworks to production deployment and MLOps.

PyTorch2,100+ devs
TensorFlow1,800+ devs
Scikit-learn2,400+ devs
Hugging Face1,200+ devs
Python3,100+ devs
AWS SageMaker890+ devs
KerasJAXXGBoostLightGBMOpenCVspaCyNLTKMLflowKubeflowRaySpark MLlibONNX

Need a specialist in a specific ML domain?

Tell Us Your Requirements

Simple Process

How to Find Your ML Engineer

From requirements to matched talent in as little as 48 hours. Our AI + human approach ensures you get exactly the right fit.

  1. 01

    Share Your Requirements

    Tell us about your ML project needs - model types, frameworks, deployment requirements, and timeline. Our AI analyzes your requirements against 500K+ engineer profiles.

    • Technical stack matching
    • Domain expertise filtering
    • Timezone & availability
  2. 02

    Review Matched Candidates

    Within 48 hours, receive a curated shortlist of pre-vetted ML engineers. Each candidate includes detailed profiles, research papers or project samples, and verified reviews.

    • 3-5 matched candidates
    • Video introductions
    • Research & portfolio
  3. 03

    Start Building Together

    Interview your top picks and onboard seamlessly. WorkGenius handles contracts, payments, and compliance across 100+ countries so you can focus on building.

    • Compliant contracts
    • Global payments handled
    • Ongoing support

Ready to find your ML engineer?

Schedule a free consultation and get matched within 48 hours.

Schedule a Call

ML Projects

What Can ML Engineers Build?

From research prototypes to production AI systems, our engineers deliver cutting-edge machine learning solutions.

Natural Language Processing

Build text classification, sentiment analysis, chatbots, and LLM-powered applications with state-of-the-art transformer models.

TransformersBERTGPT

Computer Vision

Develop image classification, object detection, segmentation, and video analysis systems for enterprise applications.

CNNYOLOOpenCV

Recommendation Systems

Create personalized recommendation engines for e-commerce, content platforms, and user engagement optimization.

CollaborativeContent-BasedHybrid

Predictive Analytics

Build forecasting models for demand prediction, churn analysis, fraud detection, and business intelligence.

XGBoostTime SeriesAutoML

MLOps & Deployment

Implement end-to-end ML pipelines with model versioning, monitoring, A/B testing, and scalable serving infrastructure.

MLflowKubeflowSageMaker

Generative AI

Develop custom generative models for image generation, text synthesis, code completion, and creative applications.

GANsDiffusionLLMs

Have a specific ML project in mind?

Discuss Your Project

Why WorkGenius

Not Just Another
Freelance Marketplace

Traditional platforms give you thousands of profiles to sift through. WorkGenius gives you 3-5 perfect matches - pre-vetted engineers who fit your exact needs.

  • AI + Human ExpertiseOur AI analyzes technical requirements while expert recruiters assess culture fit and soft skills.
  • Pre-Vetted QualityOnly the top 3% of applicants pass our technical assessments, live interviews, and background checks.
  • Enterprise ComplianceCompliant hiring in 100+ countries. We handle contracts, payments, taxes, and legal requirements.
Get Started Today

Free consultation. No commitment required.

48hrsAverage time to first match
500K+Pre-vetted developers
98%Client satisfaction rate
100+Countries supported

Common Questions

ML Engineer Hiring FAQ

How quickly can I hire a machine learning engineer?

With WorkGenius, you can receive matched ML engineer candidates within 48 hours. Our AI-powered matching combined with human expertise ensures you get pre-vetted talent that matches your exact requirements. From initial consultation to engineer onboarding, most clients complete the hiring process within 1-2 weeks.

What ML technologies do your engineers specialize in?

Our network includes 500K+ pre-vetted engineers specializing in:

  • Deep Learning Frameworks: PyTorch, TensorFlow, Keras, JAX
  • NLP: Transformers, Hugging Face, spaCy, BERT, GPT, LLMs
  • Computer Vision: OpenCV, YOLO, Detectron2, MMDetection
  • Classical ML: Scikit-learn, XGBoost, LightGBM, CatBoost
  • MLOps: MLflow, Kubeflow, Weights & Biases, DVC
  • Cloud ML: AWS SageMaker, Google Vertex AI, Azure ML

How are ML engineers vetted?

Every engineer goes through a rigorous multi-step vetting process:

  1. Application Review: Resume, publications, and project portfolio
  2. Technical Assessment: ML theory, coding, and problem-solving challenges
  3. Live Technical Interview: Model design and implementation with senior ML engineers
  4. System Design Review: ML system architecture and deployment evaluation
  5. Background Verification: Identity and professional reference checks

Only the top 3% of applicants make it into our network.

What does it cost to hire an ML engineer?

Rates vary based on experience level, specialization, and location. Typical ranges:

  • Junior ML Engineer: $50-80/hour
  • Mid-Level ML Engineer: $80-130/hour
  • Senior ML Engineer: $130-200/hour
  • ML Architect/Research Scientist: $200-300+/hour

WorkGenius provides transparent pricing with no hidden fees. We handle all payments, taxes, and compliance.

Can I hire ML engineers for short-term projects?

Yes! WorkGenius supports flexible engagement models:

  • Project-Based: Model development, POCs, or specific ML features
  • Part-Time: Ongoing model improvement and maintenance (10-30 hrs/week)
  • Full-Time: Dedicated engineers working exclusively on your ML initiatives
  • Team Augmentation: Scale your existing data science team with ML expertise

Minimum engagement is typically 40 hours, but we can accommodate various project sizes.

What if the engineer isn't the right fit?

We stand behind our matching quality with a replacement guarantee. If an engineer doesn't meet your expectations within the first two weeks, we'll provide a replacement at no additional cost. Our 98% client satisfaction rate reflects our commitment to finding the right fit the first time.

Still have questions? Let's talk.

Schedule a Call

Related roles you can hire

Building a team? Explore other pre-vetted specialists on WorkGenius.

Find Your Perfect ML Engineer

Join 500+ companies that trust WorkGenius for their machine learning needs. Get matched with pre-vetted ML engineers specializing in NLP, computer vision, and deep learning in 48 hours.

No commitment required. Free consultation included.