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# AI Engineer - LLMs and Finetuning

- **Company:** 9fin
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Distributed Computing Environment, Python (Programming Language), Machine Learning, Performance Tuning, Regression Testing, Working Model 2D, AI Infrastructure, Model Validation, Low Latency, Data Generation
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-ai-engineer-llms-and-finetuning-9fin-8026897

## About the Role

This role will be a great fit if you:

 * Open-Weight LLMs: Deep experience evaluating, adapting, and deploying open-weight models such as Llama, Qwen, Mistral, and Gemma for production use cases.
 * Fine-Tuning & Post-Training: Expertise in supervised fine-tuning, preference optimisation, instruction tuning, and domain adaptation to improve model performance on specialised tasks.
 * Training Data & Synthetic Data Generation: Strong experience building high-quality datasets, generating synthetic training data, and creating data flywheels that continuously improve model quality.
 * Model Evaluation: Ability to design rigorous benchmarks, evaluation frameworks, and regression testing systems that measure real-world model performance.
 * Financial Domain Modelling: Experience applying AI to complex financial and legal domains, including credit, restructuring, debt instruments, filings, court documents, and capital markets workflows.
 * Training Infrastructure: Familiarity with distributed training, parameter-efficient fine-tuning, GPU optimisation, inference acceleration, and cost-performance trade-offs.
 * Model Optimisation: Experience with distillation, quantisation, and other techniques for improving model quality, latency, and operating costs.
 * Production ML Engineering: Ability to build and operate training pipelines, deployment systems, evaluation infrastructure, and model monitoring in production environments.

 * Strong proficiency in Python for production ready delivery.
 * You have a strong product focus with a desire to understand the end-to-end impact of your solutions for our end users.
 * Good knowledge of AWS's AI infrastructure.

## Description

* Local public holidays (with the ability to exchange them for alternative days)
 * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
 * Work abroad for up to 3 months a year
 * 1 month paid sabbatical after 5 years of service
 * Enhanced parental leave & flexible working arrangements available

Training & Culture

 * Professional learning and development budget
 * AI experimentation budget of £800 (UK) per employee to trial AI tools
 * Quarterly team socials
 * Summer and Winter company social events


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