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Principal Data Scientist

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  • Posted 15 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

  • Opportunity to Build Foundational AI Systems in a HighImpact GovTech Startup
  • Strategic Leadership + Technical Ownership in a FastScaling Startup

Job Description

  • Design, train, and optimize advanced NLP, computer vision, and LLMbased models for automating permitting and regulatory workflows.
  • Build AI systems that interpret building codes, zoning rules, and permit documents at scale.
  • Develop computer vision pipelines for processing architectural drawings, PDFs, and scanned documents.
  • Collaborate with engineering and MLOps teams to deploy models into secure, scalable production environments.
  • Define performance metrics and implement CI/CD + MLOps pipelines for continuous training, evaluation, and monitoring.
  • Experiment with cuttingedge techniques such as RAG, embeddings, and multimodal AI.
  • Translate complex regulatory requirements into accurate, reliable AI workflows.
  • Drive innovation and provide strategic technical leadership in a fastscaling startup.

The Successful Applicant

  • 8+ years of strong experience in AI/ML engineering with proven endtoend model development.
  • Deep expertise in NLP, transformers, embeddings, RAG, and Computer Vision/OCR.
  • Handson experience finetuning and deploying LLMs in production environments.
  • Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch.
  • Strong familiarity with MLOps tools (Docker, Kubernetes, CI/CD, model monitoring).
  • Excellent problemsolving skills and comfort working in fastpaced, iterative start-up environments.
  • Bonus: Experience with regulatory, compliance, or permitting datasets.

What's on Offer

  • A strategic, highimpact role that shapes the future of AIpowered automation in the GovTech space.
  • Endtoend ownership and the opportunity to define core AI architecture, direction, and innovation.
  • A fastscaling startup environment with strong leadership support and crossfunctional collaboration.
  • Freedom to experiment with cuttingedge AI/ML techniques including LLMs, RAG, multimodal models, and advanced CV.
  • Growth opportunities, leadership visibility, and flexibility to work remotely with worklife balance.

More Info

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About Company

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds&#x3B; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 145319933

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