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Machine Learning Engineer, Applied AI - Deployed

Brain Co.· Engineering
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Hybrid (London)£120k - £180kFull-timePosted 3mo ago

About the role

Machine Learning Engineer focused on building production-ready, end-to-end AI systems for regulated institutions, turning frontier ML concepts into deployable decision systems that move real workflows forward.

Responsibilities

  • Turn ambiguity into shipped systems — from no problem statement, no labeled data, and no agreed definition of success, to well-posed ML problems and production deployments.
  • Own AI systems end-to-end. There is no handoff: the person who trains the model owns its behavior in production.
  • Work at the research frontier with production stakes, applying LLMs, RL fine-tuning, and agentic systems where the output is a decision an institution acts on.
  • Work directly with the institutions we serve — permit reviewers, underwriters, compliance officers — to understand how decisions actually get made and ensure your systems change how the work gets done.
  • Engineer for production reality, navigating accuracy, latency, cost, and reliability in environments far messier than any benchmark.
  • Raise the bar across the company through design reviews, our internal paper club, and the shared playbook for AI systems institutions can trust.

Qualifications

  • Understanding of how machine learning actually works — loss function optimization, generalization under distribution shift, and evaluation in real systems.
  • Experience with cutting-edge AI, including prompting, fine-tuning, tool use, and reasoning for LLMs and agentic systems.
  • Ability to compose vision, segmentation, VLM reasoning, and rule engines into robust multi-component systems.

Skills

Required:Composite AI system designDocument understanding of dense multimodal documentsAgented systems development and deploymentEvaluation as a product discipline
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Brain Co.

AI for the world's most important institutions

Building an AI platform and applications to deliver impact for real-world problems.

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