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Senior AI Engineer: Generative AI for Financial Tech

Methodfi

City of London

Hybrid

GBP 100,000 - GBP 125,000

Full time

30+ days ago

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Job summary

A fast-growing tech firm in London is looking for a Senior AI Engineer to accelerate AI applications across products. You will design generative AI solutions for complex financial workflows and drive model lifecycle processes. Ideal candidates should have strong Python skills, experience in NLP, and a solid understanding of the GenAI landscape. This role offers competitive compensation and a hybrid working model.

Benefits

Competitive Salary
Equity
Pension contributions
Private Medical Insurance
Paid sick leave
Group Life Assurance
Season Ticket Loan
Cycle to Work schemes
25 holiday days
Work abroad options
1 month paid sabbatical
Enhanced parental leave
Professional development budget
Quarterly team socials
Company events

Qualifications

  • Strong proficiency in Python for production-ready delivery.
  • Deep understanding of the GenAI landscape and agentic frameworks.
  • Hands-on professional experience in NLP, Information Retrieval, LLMs.
  • Experience in full model lifecycle including experimentation and deployment.
  • Good knowledge of AWS’s AI infrastructure.

Responsibilities

  • Design and build generative AI applications for financial workflows.
  • Drive end-to-end model development lifecycle and best practices.
  • Collaborate cross-functionally and elevate/mentor teammates.
  • Translate complex problems into scoped bets in a dynamic environment.
  • Iterate improvements with a fail-fast mentality.
  • Lead and push AI adoption within 9fin.

Skills

Strong proficiency in Python
Understanding of GenAI landscape
Experience in NLP
Experience in Information Retrieval
AWS AI infrastructure knowledge
Job description
A fast-growing tech firm in London is looking for a Senior AI Engineer to accelerate AI applications across products. You will design generative AI solutions for complex financial workflows and drive model lifecycle processes. Ideal candidates should have strong Python skills, experience in NLP, and a solid understanding of the GenAI landscape. This role offers competitive compensation and a hybrid working model.
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