Machine Learning Engineer - User Behaviour (London)

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We're looking for engineers who thrive in building intelligent, user-adaptive systems that operate in real-time environments. You will work on models that understand and anticipate user behaviour, helping drive proactive, low-latency experiences across immersive platforms. Your work enables real-time pre-rendering, hyper-personalization, and seamless interactivity in VR/AR worlds — making our system feel like it knows what you need before you ask.

• Design, develop, and implement machine learning models and algorithms.
• Build predictive models to anticipate user actions (voice, gaze, gestures) and proactively trigger content generation and pre-rendering.
• Implement NLP-powered systems to understand and forecast conversational user input in XR contexts.
• Design personalization algorithms that adapt content and UI to individual user behaviour and preferences.
• Collaborate with cloud engineers to integrate predictive models with rendering workflows for ultra-low-latency experiences.
• Continuously improve prediction accuracy using live user session data and feedback loops.
• Analyse and preprocess large datasets to extract useful features for model training.

• 5+ years experience with user behaviour modelling, natural language processing, and multi-modal interaction data.
• Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers).
• Familiarity with personalization algorithms, recommendation systems, or reinforcement learning.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning solutions.
• Solid understanding of algorithms, data structures, and software engineering principles.
• Excellent problem-solving skills, attention to detail, and a passion for continuous learning in the field of AI and machine learning.
• Bonus: Experience integrating ML into interactive or XR applications.

• Comfortable navigating ambiguity and working independently.
• Action-oriented with a practical approach to solving complex problems.
• Strong ownership mentality and proven delivery on high-impact projects.
• Clear communicator with strong collaboration skills, especially with technical teams.
• Experience building from the ground up in fast-moving startup environments.
• Genuine enthusiasm for accelerating ML research and deployment in creative space.

• Experience with ML pipelines involving video, image, or 3D data.
• Familiarity with distributed compute frameworks (e.g., Ray) or orchestration tools (e.g., Flyte).
• Familiarity with game engines (Unreal or Unity)
• Knowledge of vector databases and similarity search (e.g., LanceDB).
• Prior work in AI/ML research settings or startups.
• Contributions to open-source ML/data infrastructure projects.
• Experience designing tools directly for researchers or technical users.

• Seniority level
  Mid-Senior level

• Employment type
  Full-time

• Job function
  Engineering and Information Technology
• Industries
  Technology, Information and Media

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