2 of 2 DemandTrendPermanent Technical Architecture Jobs in Lancashire

Technical Architect, Data Services & Analytics (DSA) - HO - SEO £44,720 - £52,130 You may be eligible for an additional allowance up to £12,680 Published on Full-time (Permanent) £44,720 - £52,130 You may be eligible for an additional allowance up to £12,680 Published on 13 August 2025 Deadline 1 September 2025 Location Croydon, Glasgow, Liverpool, Manchester … Sheffield About the job Job summary A Technical Architect is responsible for the design and building of technical architecture. As a Technical Architect (SEO), you will design and build robust technical and data architectures to address complex organisational challenges. You will undertake a structured analysis of technical issues, translating this analysis into well-defined technical solutions. You'll identify underlying problems, look for opportunities to collaborate and reuse components and communicate effectively with technical and non-technical stakeholders. In this role, you will also build trusted partnerships with diverse teams, ensuring alignment across multiple technologies, business areas, and locations. Due to business requirements this post is available on a full time/ More ❯

agenda of a multi-award-winning business backed by a world-class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define … enterprise AI strategy - identifying opportunities for innovation, automation, and market differentiation using advanced AI/ML technologies. Own the full lifecycle of AI initiatives, from vision and roadmap to technical architecture, delivery, optimisation, and governance. Build and lead cross-functional AI teams, ensuring alignment between technical execution and strategic business goals. Evaluate emerging technologies (e.g. LLMs, RAG … AI, ML, Data Science, Computer Science or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/ More ❯