Generative AI Engineer

Senior AI Engineer - Contract £700–£1500 per day (Depending on skillset) Location: London (Hybrid/Remote) Duration: 6-12 Month Contract IR35 Status: Outside IR35 About the Role We are seeking a highly experienced and results-oriented Senior AI Engineer to join our team on a contract basis. You will be instrumental in the end-to-end design, development, and deployment of advanced, production-grade AI and Machine Learning systems that are central to our product strategy. This is a hands-on technical role for a "doer" who thrives on solving complex, real-world problems with cutting-edge AI. You will be given significant autonomy to drive projects from concept to deployment, working with a small, agile team of specialists to deliver high-impact features. What you will do • Lead the architecture and implementation of scalable AI/ML systems, including LLM-powered applications and agentic workflows. • Design and optimise robust Retrieval-Augmented Generation (RAG) pipelines and vector databases to power our AI features. • Develop, fine-tune, and benchmark large language models (LLMs) and other deep learning models for specific use cases. • Spearhead the design and development of API and backend services to integrate AI capabilities into our core platform. • Create and maintain production-grade MLOps pipelines to ensure reliable deployment, monitoring, and scaling of machine learning models. • Collaborate with cross-functional teams, including product managers and domain experts, to define requirements and translate business challenges into technical AI solutions. What we are looking for • Experience: Extensive commercial experience as a Senior AI/ML or Backend Engineer, with a proven track record of shipping production-level AI features. • Expertise: • Expert proficiency in Python and modern API development (e.g., FastAPI, Flask). • Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. • Proficiency with AI orchestration tools and libraries like LangChain, Haystack, or LlamaIndex. • Deep understanding of MLOps, including containerisation (Docker) and orchestration (Kubernetes). • Platform Knowledge: Strong experience with cloud platforms (AWS, Azure, or GCP) for AI model deployment and management. • Attributes: A self-motivated, proactive mindset with the ability to take ownership and deliver results in a fast-paced, autonomous environment. Why join us? This is a chance to make a significant and lasting impact at the forefront of AI innovation. You will work on challenging and meaningful projects with a high degree of technical freedom, using the latest technologies. Our flexible, remote-first approach allows you to work from anywhere in the UK, with optional access to our London-based hub. How to apply If you are a driven Senior AI Engineer looking for a high-impact contract role, please submit your CV and a brief cover letter outlining your relevant experience.