Senior ML Engineer

This full-time position at Aveni in the United Kingdom involves designing, fine-tuning, and deploying large language models for financial services. The day-to-day work includes architecting machine learning systems, experimenting with modern structures like Transformers and Mixture-of-Experts, and applying efficient training methods such as LoRA. You will also develop evaluation strategies to assess model reliability and build production-grade NLP pipelines that ensure low latency and high availability. The role requires hands-on experience with LLMs and classical machine learning approaches, as well as the ability to integrate these models into scalable cloud environments. While the advert does not specify a minimum number of years of experience or particular academic qualifications, it emphasizes a hands-on approach to shaping technical direction. No specific language requirements are mentioned in the text. The working arrangement is not detailed, so it is unclear if the role is office-based, hybrid, or remote. This opportunity suits engineers who want to drive the next generation of AI systems within highly regulated financial institutions. Aveni, recognized as Fintech of the Year for two consecutive years, is scaling its team to meet growing demand for intelligent, end-to-end workflows in banking and advisory sectors.