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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Aveni - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £97,728.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Tensorflow, SciPy, Software Engineering, Unstructured Data, Cloud Platform System, Pytorch, System Availability, Large Language Models, Multi-Agent Systems, Data Strategy, Git, Pandas, Build Management, Containerization, Kubernetes, Information Technology, Low Latency, Machine Learning Operations, Software Version Control, Api Management, Docker - **Published:** August 11, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5834872628 ## About the Role Essential experience * Significant experience building, training and deploying machine learning models * Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow * Experience working with large-scale unstructured data * Experience building and deploying production-ready NLP systems * Familiarity with API integrations and data acquisition pipelines * Experience implementing software engineering best practices including Git and agile development * Experience working with cloud environments (preferably AWS) Nice to have * Experience with containerisation technologies such as Docker or Kubernetes * Experience with frameworks such as vLLM or NeMo * Knowledge of financial services NLP applications * Experience designing evaluation methodologies for LLM outputs * Experience building intelligent agents or multi-agent systems * Skills and mindset * Strong analytical problem-solving skills * Ability to design scalable, production-ready AI systems * Clear communication with both technical and non-technical stakeholders * Passion for AI innovation and continuous learning * Leadership and mentoring capability, * MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science ## Description We're looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You'll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you'll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You'll Do * Build and optimise LLM-powered systems * Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches * Experiment with modern architectures such as Transformers and Mixture-of-Experts * Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods * Develop robust evaluation approaches to measure model quality and reliability * Develop scalable AI systems * Build and deploy production-grade NLP pipelines and services * Ensure models operate efficiently with low latency and high availability * Integrate models into scalable cloud infrastructure and real-world applications * Data strategy and model training * Lead the acquisition, processing and governance of large structured and unstructured datasets * Apply exploratory data analysis and validation techniques to improve training pipelines * Ensure data privacy and governance standards suitable for financial services * Engineering best practices * Contribute to DevOps and MLOps pipelines * Implement robust version control, testing and CI/CD workflows * Support reliable deployment and monitoring of models in production environments * Technical leadership * Mentor engineers and contribute to the technical growth of the team * Work closely with product, engineering and data teams to deliver AI solutions * Stay at the forefront of AI and NLP research, applying new approaches where they add value ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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