Remote

Applied Machine Learning Engineer

Engineeringfull timemid level$70k-$120k
AI ScreenedRemote B2BEU Talent Pool2 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

About This Role

We're seeking an Applied Machine Learning Engineer to build and deploy production ML systems that power our AI-first recruiting platform. You'll own end-to-end ML pipelines—from data preprocessing and feature engineering to model training, evaluation, and serving—directly impacting how thousands of companies discover top talent. This is a hands-on role where you'll collaborate with product, backend, and data teams to translate recruiting challenges into scalable ML solutions.

Requirements

  • Build and deploy machine learning models in production Python environments
  • Design feature engineering pipelines and optimize model performance metrics
  • Write clean, testable code with experience in ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Query and manipulate data using SQL for exploratory analysis and training
  • Collaborate across engineering and product teams to define ML requirements and success criteria
  • Implement MLOps practices including model versioning, monitoring, and CI/CD for ML systems
  • Demonstrate 3+ years of professional experience in machine learning or related roles

Required Skills

PythonMachine LearningPyTorch / TensorFlowSQLMLOps / Model DeploymentScikit-learnData EngineeringLLMs / NLP