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RemoteListed Jul 19, 2026

Machine Learning Engineer PhD

Madiff

  • AI-Machine-Learning-Engineer
  • AI-Research
  • Data Science
  • Data-Science
  • Deep-Learning
  • Generative-AI
  • ML-AI-Engineer
  • MLOps
  • Machine-Learning-Engineer
  • Machine-Learning-Scientist

Assessed from original listing evidence

The role

Job description

This is a remote position.

Madiff delivers high-impact AI solutions to Fortune 500 clients and fast-growing start-ups. We need a PhD-level Machine Learning Engineer who can move fast from research to production across multiple tech [link removed] responsibilities:
• Research and design advanced machine learning models that solve real customer problems
• Prototype, test and optimise models in Python using TensorFlow, PyTorch and scikit-learn
• Deploy and monitor solutions on AWS, Azure or GCP with CI / CD and IaC tools
• Work with data engineers to build robust data pipelines and feature stores
• Translate complex findings into clear business recommendations for stakeholders
• Coach client teams and Madiff consultants on best ML practices
• Contribute to technical pre-sales and proposal work when required

Requirements

  • PhD in Machine Learning, Computer Science, Mathematics or similar
  • At least three years of post-doctoral experience delivering ML projects in industry
  • Fluency in Python plus solid knowledge of Java, Scala or C++
  • Hands-on expertise with deep learning, classical ML and generative models
  • Strong grasp of MLOps, containerisation, microservices and cloud-native architectures
  • Excellent communication in English, written and spoken
Desirable
  • Publications or patents in applied AI
  • Experience with time-series forecasting, reinforcement learning or NLP at scale
  • Familiarity with data privacy frameworks in the EU and USA

Benefits

  • Direct impact on flagship client projects in finance, retail and healthtech
  • High-end hardware and training budget for continuous learning
  • Flexible location and working hours
  • Competitive daily rate or permanent package scaled to expertise

Originally posted on Himalayas

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