Staff Machine Learning Engineer

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?

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.

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.

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.

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.

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