# AI Engineer at 9fin

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and build generative AI applicati

- **Company:** 9fin (https://jobs.trythestack.co/companies/9fin)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Information Retrieval, Embedding models, Training re-rankers, Entity/relationship extraction, Knowledge Graphs, GraphRAG, Recommendation systems, Personalisation, Learning-to-rank, User modelling, Tabular ML
- **Posted by employer:** 2026-11-04
- **Added to The Stack:** 2026-11-05
- **Listed until:** 2027-01-03
- **Status:** Active
- **Apply:** https://joblookup.com/uk/dispatch/job/feed/ai-engineer-job-in-vauxhall-8?utm_source=feed-75&utm_medium=Linkedin&j=1102170632232&x=11042275&f=851&p=eJzLtDKwBgAC8QEP&s=d8d563d332 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-engineer-9fin

## About the role

Responsibilities:
- Design and build generative AI applications for complex financial and legal workflows using state-of-the-art models.
- Lead end-to-end model development: experimentation, training, evaluation, reproducible research, deployment, and monitoring.
- Implement information retrieval pipelines: chunking, embedding models, and re-ranker training to improve search and retrieval.
- Build and integrate entity/relationship extraction, knowledge graph components, and GraphRAG solutions.
- Develop recommendation and ranking systems (personalisation, learning-to-rank, user modelling) for product features.
- Collaborate cross-functionally with product, engineering, and research teams; translate problems into scoped internal initiatives.
- Mentor peers, share findings, and promote AI adoption across the organisation.

Requirements:
- Strong production-grade Python experience and familiarity with ML engineering best practices.
- Proven experience with information retrieval, embeddings, and training re-rankers.
- Experience building or integrating entity extraction/resolution systems and knowledge graph solutions.
- Background in recommendation/ranking systems, personalization, or learning-to-rank methods.
- Hands-on experience across the model lifecycle: experimentation, training, testing, deployment, and monitoring.
- Practical knowledge of cloud/AI infrastructure (e.g., AWS), containerisation, and reproducible workflows.
- Good communication skills and ability to work in a fast-paced, cross-functional environment.

## Responsibilities

Design and build generative AI applications tailored to complex financial and legal workflows; drive end-to-end model development lifecycle, leading the team in best practices, ensuring reproducible research and well managed model delivery/deployment; collaborate cross-functionally to share diverse ideas and elevate teammates; push AI adoption across 9fin.

## Requirements

Strong Python production experience; deep expertise in Information Retrieval, embedding models, training re-rankers; Entity/relationship extraction; Knowledge Graphs and GraphRAG; experience with recommendation systems, personalization, learning-to-rank, and user modelling; knowledge of AWS AI infrastructure; experience across the full model lifecycle (experimentation, training, testing, monitoring, deployment).

## FAQ

- **Is this AI Engineer role still open?** It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on 9fin's application page before applying.
- **Does 9fin offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on 9fin's site.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Information Retrieval, Embedding models, Training re-rankers, Entity/relationship extraction, Knowledge Graphs, GraphRAG, Recommendation systems, Personalisation, Learning-to-rank, User modelling, Tabular ML.

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## Notes for agents

- Apply on the employer's page (https://joblookup.com/uk/dispatch/job/feed/ai-engineer-job-in-vauxhall-8?utm_source=feed-75&utm_medium=Linkedin&j=1102170632232&x=11042275&f=851&p=eJzLtDKwBgAC8QEP&s=d8d563d332). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "ai-engineer-9fin": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "AI Engineer at 9fin, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/ai-engineer-9fin)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md