Machine Learning Causal Models Systemic Reasoning
LOCATION
Remote | London
ROLE
Role Purpose
You build the AI itself - not just isolated models, but reasoning systems that integrate learning, structure, and human judgment.
This role defines how intelligence emerges, behaves, and evolves in practice.
What You'll Build & Own
You own the intelligence layer: models, reasoning mechanisms, and evaluation approaches that turn data into insight and foresight.
Key Responsibilities
- Design and train ML models where learning adds clear value
- Combine ML with:
- Statistical models
- Rule-based or symbolic components
- Develop models that operate over time (longitudinal, adaptive)
- Explore early agentic or semi-autonomous behaviors within strict boundaries
- Define evaluation beyond accuracy (robustness, stability, interpretability)
- Integrate AI outputs into human decision-making workflows
Who You Are
- Strong background in machine learning or applied AI
- Comfortable working across paradigms (ML, causal, symbolic)
- Interested in how intelligence behaves in real systems, not just benchmarks
- Thoughtful about misuse, bias, and overreach
- Excited by building AI systems that remain understandable and accountable
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Contact Details:
Luminous Executive Advisory & Strategy Recruitment Team
