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2 дня назад

Lead AI Scientist (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Lead AI Scientist (Fintech): Developing and deploying end-to-end machine learning and Agentic AI models for financial wealth management with an accent on prompt engineering, model benchmarking, and ethical governance. Focus on building scalable LLM-based solutions, mentoring AI scientists, and collaborating with business stakeholders to drive innovation in a regulated environment.

Location: Hybrid, must be based in London or Southampton

Company

hirify.global is a leading UK-based wealth manager and financial advice provider overseeing £141.2 billion in customer investments.

What you will do

  • Deliver end-to-end AI/ML solutions including discovery, experimental design, development, and deployment.
  • Design experiments to evaluate model performance using classical metrics and GenAI techniques like LLM-as-a-Judge.
  • Refine prompt engineering strategies to optimize reasoning and accuracy of LLMs and agentic AI systems.
  • Ensure Responsible AI principles and governance are applied throughout the model lifecycle.
  • Translate complex business requirements into high-impact AI initiatives in partnership with technical and business teams.
  • Provide technical leadership and mentorship to the AI Science team to ensure high-quality delivery.

Requirements

  • PhD or MSc in Artificial Intelligence, Computer Science, or a related STEM field.
  • Proven track record in building, fine-tuning, and evaluating traditional ML, NLP, and LLM-based models.
  • Advanced Python programming skills and proficiency in ML frameworks like PyTorch or TensorFlow.
  • Deep understanding of LLM libraries such as LangChain, LlamaIndex, and Hugging Face.
  • Experience with cloud platforms like Azure or AWS for scaling AI development.
  • Strong grasp of data structures and knowledge bases including vector stores and graph databases.

Nice to have

  • Background in financial services or other regulated industries.
  • Experience with Databricks or AI Foundry.
  • Familiarity with R or Java for specialized data engineering tasks.

Culture & Benefits

  • Company pension scheme with non-contributory options.
  • Private Medical Insurance with family coverage options.
  • Life Assurance at 4x salary and Income Protection benefits.
  • Annual leave of 26 days.
  • Participation in the company-wide incentive scheme linked to performance.
  • Range of flexible benefits available via salary deduction.

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