3 дня назад
Applied Scientist (AI & Machine Learning)
175 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied Scientist (AI & Machine Learning) (LLMs/Generative AI): Designing, building, and deploying production AI solutions for complex insurance business challenges with an accent on large language models, retrieval augmented generation, prompt engineering, and agentic AI. Focus on creating evaluation and monitoring frameworks, establishing responsible AI practices, and providing technical leadership to data scientists and engineering partners.
Location: London or New York; New York requires a hybrid schedule with a minimum of 3 days per week in the office
Base salary: $175,000–$200,000 or £90,000–£120,000, plus a 20–25% annual bonus
Company
is a leading global insurance organisation applying AI and machine learning to complex business challenges.
What you will do
- Lead the design and development of AI and machine learning solutions using large language models, generative AI, and agentic AI.
- Build production-ready AI solutions from concept through deployment and monitoring.
- Apply advanced analytics, experimentation, statistical modelling, prompt engineering, and retrieval augmented generation.
- Establish practices for model evaluation, testing, validation, responsible AI, governance, and explainability.
- Partner with engineering and business stakeholders to deliver scalable AI solutions and communicate technical recommendations.
- Mentor data scientists through technical leadership, code reviews, and coaching.
Requirements
- Extensive experience developing AI and machine learning solutions in production environments.
- Strong expertise in large language models, generative AI, retrieval augmented generation, prompt engineering, and agentic AI.
- Excellent Python skills and experience with modern AI and data science frameworks.
- Strong foundation in statistics, machine learning, and mathematical modelling.
- Experience designing AI evaluation frameworks covering model performance and monitoring.
- Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms, plus knowledge of responsible AI and model governance.
Nice to have
- Experience with AI agent frameworks and orchestration tools.
- Insurance or financial services experience.
- Postgraduate qualification in Computer Science, Mathematics, Statistics, Data Science, or a related discipline.
Culture & Benefits
- Comprehensive medical coverage and retirement plans.
- Paid time off and wellness programmes.
- Tuition assistance.
- Annual bonus target of 20–25%.
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