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2 дня назад

Data Science & AI Delivery Lead (AI)

175 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Science & AI Delivery Lead (AI): Leading the delivery of enterprise AI, machine learning, and advanced analytics solutions from concept through production with an accent on LLMs, RAG architectures, MLOps, and scalable cloud deployment. Focus on designing production-ready AI systems, driving technical standards and governance, and mentoring Data Scientists and AI Engineers while remaining hands-on with Python development.

Location: Hybrid, 3 days per week in London or New York

Salary: $175,000–$200,000 annually plus a 20–25% annual bonus; London compensation is £90,000–£120,000.

Company

Work within a global insurance organisation delivering enterprise AI and machine learning solutions.

What you will do

  • Lead end-to-end delivery of AI, machine learning, and advanced analytics solutions from concept through production.
  • Provide technical leadership across multiple initiatives, covering architecture, engineering, scalability, deployment, and governance.
  • Design and build solutions using large language models, Retrieval-Augmented Generation, and agentic AI approaches.
  • Contribute hands-on Python development, architecture reviews, technical problem-solving, and proof-of-concepts.
  • Drive best practices across MLOps, testing, monitoring, version control, and production deployment pipelines.
  • Mentor Data Scientists and AI Engineers while partnering with engineering, data, and business stakeholders.

Requirements

  • Significant experience delivering AI and machine learning solutions in production.
  • Strong Python development skills and experience with modern machine learning and data science frameworks.
  • Hands-on experience with large language models, generative AI, prompt engineering, and RAG architectures.
  • Experience with Databricks, MLflow, Spark, and cloud-based AI platforms, preferably Azure.
  • Strong understanding of MLOps, software engineering practices, and production deployment pipelines.
  • Experience leading technical teams, managing stakeholders, and delivering projects in fast-paced environments.

Nice to have

  • Experience building AI agents and orchestration workflows.
  • Insurance or financial services experience.
  • Knowledge of responsible AI, model governance, explainability, and bias mitigation.

Culture & Benefits

  • Permanent role within a global insurance organisation.
  • Comprehensive benefits package.
  • Annual bonus of 20–25%.

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