Top Tech Jobs & Startup Jobs

Lead and deliver user research for UK defence projects, applying qualitative and quantitative methods. Create research plans, run workshops, coach and manage a small team, influence stakeholders, and ensure user-centred service design across the organisation.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Proactively source and engage technical candidates using LinkedIn Recruiter and Phenom, conduct screening conversations, present qualified candidates, develop data-driven sourcing strategies, maintain candidate data, and champion an excellent candidate experience while collaborating with TA partners.

Lead end-to-end delivery of global Workday implementations: define scope, manage planning/resourcing/commercials, act as client interface, oversee configuration, testing, data migration, go-live and handover, and support pre-sales and business growth.

Implement and configure enterprise Workday HCM solutions, lead functional workstreams, engage and advise customers, mentor junior consultants, support sales and estimates, and rotate across delivery and application management services.

As a Lead Power Platform Engineer at Kainos, you'll manage teams, develop Power Platform solutions, mentor staff, and interact with customers to meet technical requirements while learning new technologies.

As a Workday HCM Lead Consultant, you'll implement Workday solutions, lead project workstreams, and provide guidance to customers while supporting junior team members.

Lead functional delivery of Dynamics 365 CE and Power Platform projects: translate stakeholder requirements into solution designs, lead and coach functional teams, configure and demonstrate out-of-the-box and AI features, design workflows and automations, support testing, data migration, training, cutover and pre-sales activities while ensuring configuration-first designs and integration with Microsoft ecosystem components.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

Design, build, test and maintain modern C#/.NET applications; contribute to architecture and technical decisions; apply security, scalability and performance best practices; mentor junior engineers; collaborate on product planning, estimation and user stories. Desirable: CI/CD, debugging live systems, multiple languages, data storage technologies and public cloud (AWS/Azure) experience.