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 stacks.Key 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
