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# Senior AI Engineer - LLMs and Finetuning

- **Company:** 9fin
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Distributed Computing Environment, Python (Programming Language), Machine Learning, Performance Tuning, Regression Testing, Software Deployment, Working Model 2D, AI Infrastructure, Large Language Models, Model Validation, Low Latency, Data Generation
- **Published:** June 7, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=c7fcf14e30464195

## About the Role

Do you have experience in Software deployment?, 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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