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Machine Learning Engineer PhD
New
AI/ML

Machine Learning Engineer PhD

Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    English

    C1

    PhD

    advanced

    Python

    advanced

    CI/CD

    advanced

    AWS

    regular

    Azure

    regular

    Java

    regular

    Scala

    regular

    C++

    regular

    MLOps

    regular

    GCP

    regular

Job description

Friendly offer

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity – supporting industries like Telecom, Banking, and Hi-Tech.


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


What we offer:

  • 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

Undisclosed Salary

B2B