LocationRemote working (anywhere in the UK)Salary: £78,000 to £85,000 (including a £10,000 market rate allowance), plus a further £5,000 for candidates based in London.About the jobJob summaryThis post is open to applicants who can meet the College’s nationality, UK residency...
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
Design and implement AI solutions for customers within a managed service environment, integrating generative AI, LLMs, and automation into existing IT systems. Work across the Microsoft ecosystem to deliver secure, scalable AI tools and workflows. Support customer adoption and contribute to the strategic development of the company's AI capabilities.
This role involves developing and maintaining C# applications, governing Azure DevOps pipelines, and collaborating with a team of 5 developers and a Solution Architect. The focus is on AI and Greenfield projects, with responsibilities including debugging, testing, and optimizing code, as well as providing technical support and ensuring best practices.
This role involves hands-on coding in C# (70% of the time) and leading a small team of 4 developers. Responsibilities include designing and developing scalable applications, running scrum ceremonies, and ensuring an AI-first culture. The role also involves maintaining and improving existing systems, collaborating with cross-functional teams, and keeping up-to-date with industry trends.
This role involves partnering with senior stakeholders to translate business challenges into data-driven solutions, developing Power BI dashboards, and exploring AI and HTML-based analytics. You'll manage the analytics backlog, support the team, and ensure high standards of data quality and governance.
Lead the analytics strategy for Ocado's Last Mile operations, focusing on turning advanced AI and data capabilities into tangible business outcomes. Drive cross-functional initiatives to optimize delivery routing, fleet operations, and slot management while building a culture of data-driven decision-making and experimentation. Manage and develop a high-impact analytics team, ensuring alignment with operational goals and AI systems.
This role involves using advanced analytics to optimise last-mile delivery operations on the Ocado Smart Platform. The Senior Data Analyst will build forecasting and routing models, develop dashboards in Looker, and collaborate with technology and operations teams to improve delivery efficiency and customer experience. The position also includes mentoring team members and supporting international partners with data-driven strategies.
Develop and deploy advanced machine learning and AI solutions for national security challenges in collaboration with cross-disciplinary teams. Lead technical projects, build scalable data systems and microservices, and provide technical leadership while working at the intersection of research and real-world impact. Mentor team members and contribute to research proposals and capability development.
The AI Accelerator Lead will establish and drive a strategic initiative to unlock enterprise-wide value from AI, combining technical leadership with programme-level influence. Responsibilities include designing and operating the AI Accelerator, exploring advanced AI techniques, and building high-impact prototypes that evolve into scalable solutions.
This role involves working closely with the Technical Support team to understand their systems and customer issues, improving internal systems through automation and AI, and collaborating with senior developers on software development tasks. As experience grows, the role will involve more development work and ownership of various technology projects.
This role involves designing, building, and deploying high-performance Machine Learning solutions, working across the full ML lifecycle from experimentation to production. You'll collaborate with engineering and AI teams to ensure robust MLOps practices and optimize model performance in production environments.
This role involves designing and implementing enterprise Databricks Lakehouse platforms, translating business requirements into scalable data architectures, and leading technical delivery for high-impact clients. You'll optimise performance and cost of Databricks workloads, build secure and governed data ecosystems using Unity Catalog or Purview, and contribute to CI/CD pipelines and architectural patterns. The position blends hands-on technical work with strategic advisory across the full data lifecycle.
This role involves leading technical engagements in data architecture and strategy, building and deploying machine learning models, and staying up-to-date with the latest trends in GenAI. You will manage a small team and act as the technical expert in machine learning and large language models.
This role involves processing and analyzing large-scale cardiac imaging data, integrating it with genetic and clinical data, and developing machine-learning models to predict patient risk in hypertrophic cardiomyopathy. You will work in a multidisciplinary team at Imperial College London, contributing to a British Heart Foundation-funded project.
This role involves rapidly building, testing, and improving AI and automation solutions to solve real business problems. You'll work closely with Commercial and Operations teams, creating prototypes using AWS Bedrock and other AI platforms, and iterating based on user feedback.
