3 of 3 Remote/Hybrid Data Management Jobs in West London

leveraging the Microsoft technology stack, including Copilot Enterprise, Power Apps, Azure services, Python, and OpenAI technologies, to streamline workflows, enhance operational efficiency, and support data-driven decision-making. The successful AI Implementation Engineer will work closely with the Innovations Team, Data, IT, Operations, and business stakeholders to identify … automation tools across the organisation. Ensure solutions comply with company policies, regulatory requirements, and industry standards. Implement best practices for AI usage, data management, and automation lifecycle management. Maintain documentation, version control, and deployment standards. IT Security & Compliance Work closely with IT security teams to ensure AI solutions ...

Service (SaaS) and white label technology opportunities and sales. The role focuses on building long-term, strategic relationships with senior decision-makers, delivering tailored data management and insight software solutions into Agri-food enterprises and driving profitable revenue growth while ensuring a seamless customer experience. This is currently … tendering conversations and delivery following a consultative sales approach. Achieve defined sales targets and build sustainable pipeline coverage for long term success. Customer Relationship Management Build and maintain trusted relationships with decision-makers and stakeholders, including C suite executives. Understand customer business models, risk environments, commercial needs, and strategic ...

practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in cross functional team initiativesembedded projects with business stakeholdersto rapidly build and deploy … integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflowsfrom data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure ...