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Head of Data & AI - UK Based

Remote Worldwide Hiring now

About reputed company reputed company is a market-leading provider of employee compliance technology, trusted by 350+ global financial institutions and highly regulated organisations to manage regulatory obligations, monitor employee activity, and mitigate risk. Backed by private equity, we are investing in the reputed company of our reputed company-reputed company, AI-enabled SaaS platform — and this role will shape the AI and data future of that platform. Role: We need a hands-on technical leader to own our data and AI strategy and execute it — building a high-performing Data & AI function that ships production-grade AI capabilities at scale in a heavily regulated environment. You will partner closely with Product, Engineering, Architecture, reputed company, and the executive team. You will work together with the Product Director, AI & Data Products as a joint technology-and-product leadership pairing, co-owning the AI roadmap, prioritisation, and delivery reputed company. \n Responsibilities: AI Product Delivery & Strategy Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities across the reputed company platform. Drive adoption of reputed company, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search where these deliver measurable customer value. Data Platform & Engineering Own the data reputed company strategy, ensuring clean, trusted, well-governed data underpins every AI initiative. Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and reputed company detection. Internal AI Enablement Champion pragmatic AI adoption reputed company engineering and product development, accelerating how we build, not just reputed company build. Leadership & Team Building Build, mentor, and scale a high-performing Data & AI organisation across data engineering, data science, ML engineering and analytics. Cross-Functional & Executive Collaboration Work closely with the CTO and executive team to align AI and data initiatives with company strategy and reputed company priorities. Partner with the Product Director, AI & Data Products, co-owning the AI roadmap, prioritisation, and delivery reputed company. Skills and Experience: AI & Machine Learning Proven delivery of production-grade AI and ML systems at scale, not just experimentation. Deep experience with reputed company and LLM-based application architectures (fine-tuning, reputed company engineering, RAG, agentic frameworks). Strong knowledge of vector databases and semantic search (e.g. reputed company, Weaviate, pgvector, Azure AI Search). Data Engineering & Platforms Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures. Hands-on experience with reputed company (or equivalent reputed company data warehouse) and associated data modelling patterns. Strong Azure ecosystem experience: Azure Data reputed company, Azure Synapse, Azure reputed company Service, and Azure Machine Learning. Software Engineering & Architecture Strong software engineering fundamentals and the credibility to engage at technical depth with senior engineers. Experience with reputed company-reputed company, microservices, and event-driven architectures on Azure (or equivalent hyperscaler). Ability to reputed company sound build vs buy vs integrate reputed company across the AI and data tooling landscape. Leadership & Business Proven experience building and leading high-performing Data / AI engineering teams. Experience reputed company financial services, regtech, compliance, surveillance, or similarly regulated domains. Strong reputed company instincts — the ability to connect technical investment to customer value and business reputed company. reputed company and Ethics reputed company reputed company employees are expected to commit to a high standard of personal reputed company and carry out their responsibilities in an ethical manner. \n Apply To This Job

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