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Lead enterprise AI engineering, MLOps, and platform teams; establish engineering standards, governance, guardrails, and Responsible AI practices. Oversee model development, deployment, monitoring, evaluation, automation, observability, and continuous improvement. Partner with architecture, risk, compliance, and business stakeholders on AI strategy, while reporting on performance and value. Build and mentor high-performing teams through recruitment, coaching, and succession planning.

Leads enterprise application engineering across Modern Workplace, Contact Centre, and HR and Finance platforms. Defines engineering standards, governance, security, integration, resilience, and supportability controls; drives automation, monitoring, root cause analysis, and continuous improvement. Owns application strategy and roadmaps, manages stakeholders and suppliers, develops high-performing teams, tracks service KPIs, and aligns technology delivery with enterprise priorities and commercial outcomes.

Owns end-to-end digital experimentation and conversion optimisation, including roadmap management, hypothesis development, test briefing, stakeholder sign-off, measurement, analysis, and recommendations. Conducts competitor research and supports proposition and MVP delivery. Improves insight-driven ideation, prioritisation, UX execution, QA, reporting, and communications. Requires strong ecommerce optimisation experience, commercial analysis, user research, web analytics, UX, content, and hands-on A/B testing expertise.

Investigate and process motor insurance contractual breach and indemnity claims, including MIB and peril-specific losses. Assess evidence, apply insurance contract and regulatory principles, determine indemnity decisions, identify recovery opportunities, communicate outcomes, manage complex claims, and collaborate with business stakeholders. The role also uses predictive analytics to identify higher-risk claims and contributes to process improvements and optimal financial outcomes.

Leads a team of risk analysts within the telematics pricing function, identifying opportunities to expand or correct the insurance footprint. The role analyzes loss ratios and performance KPIs, develops underwriting risk controls, shapes portfolio growth strategies, and provides recommendations to stakeholders. It also involves coaching analysts, challenging processes, and ensuring fair customer outcomes while delivering profitable growth.

Lead end-to-end UX/UI design for digital insurance products, from discovery and research through prototyping, delivery, and continuous improvement. Collaborate with product and technical teams to create user flows, wireframes, high-fidelity designs and interactive prototypes. Conduct usability testing and data-driven research, simplify complex insurance and regulatory processes into intuitive journeys, advocate solutions to stakeholders, and integrate AI into design workflows.

As a Microservices Developer, you will design, build, and maintain microservices-based applications, collaborate with teams, mentor junior developers, and continuously improve technical skills.

Design, build and support scalable Snowflake-based data and AI platforms. Create automated, observable data pipelines, optimise platform performance, and support AI/ML and MLOps practices. Collaborate with stakeholders to promote best practices in SQL, Python, data modelling, orchestration and AI adoption while ensuring governance, security and operational efficiency.

Lead a team of Risk Pricing Analysts to develop, improve and implement risk pricing models, integrate new data and analytical techniques, run pricing projects to meet profit and growth targets, mentor analysts, and ensure fair customer outcomes and regulatory training compliance.

Work as an individual contributor on Agile sprint teams to define acceptance criteria, write and implement automated tests (UI and API), ensure stories meet definition of ready/done, collaborate in sprint ceremonies, and use test management and source control tools to deliver high-quality features.