machine learning engineer for regulated institutions

Описаниеbrain Co.
London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Code Review Data Structures Machine Learning Software Engineering Pytorch Large Language Models Information Technology Data Pipelines

Job description

ОписаниеBrain Co. builds AI-native operating systems for large, regulated institutions. Its industry-specific systems are powered by agents that advance real workflows, while Atlas, its proprietary platform, keeps customers in control, secure by design, and independent of any single model.ЗадачиDesign and deploy advanced LLM models to automate complex manual processes across real-world industry verticalsBuild scalable data pipelines and optimize models for performance and accuracyPrepare models for production, monitor them, and maintain their value across governments worldwideOptimize advanced energy production systems, modernize core government workflows, and improve patient outcomes in public healthcare systemsInteract directly with government officials in various countries and apply AI solutions to complex business challengesWork alongside founders, AI researchers, and software engineers to deliver AI-powered solutionsContribute across software building, product management, sales, and

Requirements

interpersonal workKeep abreast of the latest developments in machine learning and AIParticipate in code reviews, share knowledge, and set an example with high-quality engineering practicesТребованияHold a BSc, Master’s, or PhD degree in Computer Science, Machine Learning, Data Science, or a related fieldHave impactful industry experience building GenAI-focused applications with technologies including Agents, reasoning models, and RAGHave high-level familiarity with the architecture and operation of large language modelsHave personally implemented models in PyTorch, Jax, or TensorFlowHave a strong foundation in data structures, algorithms, and software engineering principlesExhibit excellent problem-solving and analytical skills with a proactive approach to challengesWork collaboratively with cross-functional teamsThrive in fast-paced environments where priorities or deadlines may competeBe eager to own problems end-to-end and acquire necessary knowledge to get the job doneУсловияCompetitive salaryPaid Maternity and Paternity LeaveDaily lunchesCommuter benefitsUnlimited PTOMeaningful equity in a high-growth company #J-18808-Ljbffr

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Good distractions

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