Harnham

Staff ML Engineer

Stellenbeschreibung:

Looking for a role that gives you the opportunity to lead impactful machine learning projects while shaping the technical direction of a growing AI function? Excited by influencing strategy, mentoring engineers, and working fully remotely across Europe within a flexible, supportive environment?

THE COMPANY

This organisation is a forward‑thinking technology business building data‑driven products powered by advanced machine learning. They solve complex challenges across areas such as NLP, automation, and large‑scale model deployment. With a distributed technical team across Europe, they emphasise collaboration, experimentation, and strong engineering standards. You’ll join at a time of investment in AI, where your decisions directly shape the road‑map and overall model capability.

THE ROLE

As a Staff Machine Learning Engineer you will…

  • Lead the design, development, and deployment of end‑to‑end ML solutions.
  • Architect scalable ML systems and pipelines that integrate seamlessly with cloud infrastructure.
  • Mentor engineers, championing best practices across coding, experimentation, and MLOps.
  • Collaborate with Product and Engineering teams to define priorities and model strategy.
  • Apply deep learning, NLP or classical ML techniques to real‑world, high‑impact problems.
  • Uphold responsible AI principles across model development and evaluation.

YOUR SKILLS & EXPERIENCE

The successful Staff Machine Learning Engineer will have:

  • Strong Python skills and experience with ML frameworks such as TensorFlow or PyTorch.
  • Deep knowledge of machine learning and modern deep learning techniques.
  • Experience deploying ML models to production using cloud platforms (AWS, GCP or Azure).
  • Familiarity with big‑data or distributed tools (Spark, Kafka or similar).
  • A track record of leading complex ML projects and influencing technical decisions.
  • Excellent communication skills across distributed, cross‑functional teams.

WHAT THEY OFFER

The successful Staff Machine Learning Engineer will receive:

  • Fully remote work across Europe with flexible collaboration hours.
  • Modern tooling, supportive leadership, and clear progression into senior technical influence.
  • Exposure to diverse ML applications and the chance to shape long‑term AI strategy.

HOW TO APPLY

Please register your interest by applying via the link on this page with your CV.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    20 Feb 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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