ML Engineer

ManaTEA is seeking an ML Engineer to build foundational intelligence infrastructure that powers their platform. You'll work at the intersection of machine learning systems, knowledge representation, and reasoning, solving hard problems in applied ML rather than wrapping APIs or fine-tuning models in isolation.

• Design ML pipelines that transform unstructured, proprietary information into semantically rich, queryable representations
• Build and integrate models that enable probabilistic reasoning, multi-hop inference, and context-aware decision support
• Develop agentic workflows where AI assists human judgment through explainable outputs, uncertainty quantification, and iterative feedback loops
• Define evaluation metrics and testing frameworks for high-stakes, information-led environments
• Contribute to architectural decisions around ML infrastructure and model serving
• Collaborate closely with backend engineers, product, and domain experts

• Strong foundations in machine learning: NLP, information extraction, representation learning
• Systems thinking mindset, not just model performance in isolation
• Comfortable working in ambiguity and defining problems from first principles
• Intellectually honest: willing to challenge assumptions
• Pragmatic: ships working systems, iterates on real feedback, avoids over-engineering
• Cares about reproducibility, clarity, and long-term maintainability

• Work on genuinely hard, foundational problems at the intersection of ML and knowledge systems
• Founder-led, deeply technical environment with low-ego, high-ownership culture
• Fast feedback loops, strong opinions, high bar for clarity
• Flexible/hybrid setup centred around London
• Early-stage equity