Artificial Intelligence Engineer

AI Data Engineer | Contract | Initial 3-6 Months | Hybrid | £750-900 p/d | Inside IR35 We’re supporting a client looking to build out a capability focused on deploying AI into real-world business environments - not just experimentation. This is a hands-on role for a senior engineer who can take ownership of designing and delivering AI-powered systems end-to-end, working with complex, unstructured data and embedding solutions directly into operational workflows. You’ll be operating in a fast-moving environment where quality of engineering, speed of delivery, and the ability to translate loosely defined problems into working solutions are all key. The role would suit someone who sits between strong software engineering and applied AI, and enjoys building systems that actually get used in production. This role is inside IR35, initial 3-6 months, £750-900pd and 3 days per week onsite in Central London. Key Responsibilities • Design and build AI-powered applications that support business decision-making across complex datasets • Develop systems that retrieve, interpret and surface insights from large volumes of unstructured data • Create and manage workflows where multiple components or services work together to solve multi-step problems • Build robust backend services and APIs to expose AI-driven functionality • Own solutions end-to-end from initial concept through to production deployment and ongoing improvement • Implement testing, monitoring and optimisation to ensure systems are reliable and performant at scale • Work closely with stakeholders to shape use cases and continuously refine outputs based on feedback Required Experience • Strong software engineering background, with deep experience in Python • Proven track record building and deploying AI or ML-driven applications into production environments • Experience working with modern LLM tooling, data pipelines, and large-scale datasets • Ability to design scalable, maintainable systems with a focus on reliability and performance • Experience working end-to-end across data ingestion, model integration, and application delivery • Strong understanding of best practices in software engineering (testing, version control, CI/CD) • Comfort working directly with business users and translating ambiguity into practical solutions Nice to Have • Experience working in finance or other highly data-driven environments • Exposure to cloud platforms such as AWS, Azure, or GCP • Experience with high-volume or distributed data processing • Familiarity with evaluating and improving AI system performance • Understanding of security, governance, and reliability considerations in AI systems Please apply below directly if interested!