Top Tech Jobs & Startup Jobs

Conduct accessibility audits and testing for digital services using manual, automated, and assistive technology methods. Produce and present audit reports, provide remediation guidance, support accessibility testing strategies, and integrate accessibility into Agile workflows. Train teams and junior staff on accessibility standards, testing, and assistive technologies while contributing to standardised practices and accessibility statements.

Develops .NET solutions for client projects, diagnoses and resolves complex technical issues, gathers client requirements, and designs and delivers technical solutions collaboratively. The role requires extensive C# and ASP.NET Core development experience, API development, cloud platform experience, Kubernetes, Docker, test-driven or behavior-driven development, and Agile delivery experience. Front-end skills with HTML5, CSS3, JavaScript, React, or Angular are advantageous.

Delivers automated and functional testing for government client projects. Responsibilities include test planning, reusable script development, regression pack management, test data creation, defect reporting, test KPI implementation, test result analysis, and release planning. The role collaborates with clients, stakeholders, and technical teams in agile CI/CD environments, using tools and technologies such as .NET, Java, Azure DevOps, JIRA, Playwright, and C#.

Designs inclusive, user-centred digital products and public services for government and private-sector clients. Responsibilities include content and interaction design, user research, prototyping, usability testing, workshop facilitation, stakeholder engagement, and evidence-based service improvement. The role also contributes to agile multidisciplinary delivery, design practice development, mentoring, proposals, and thought leadership. Experience with UK Government digital services, GOV.UK standards, WCAG, Figma, and the GOV.UK Prototype Kit is required.

Designs, develops, tests, implements, and supports .NET applications and integrations using C#, ASP.NET, APIs, and SQL Server. Works directly with clients to translate business requirements into secure, maintainable solutions. The role also delivers Microsoft 365 and Power Platform solutions, VBA automation, Word macros, and Crystal Reports. Responsibilities include troubleshooting, architecture, code reviews, documentation, knowledge transfer, and managing multiple projects or workstreams.

Design, build, and deploy scalable AI architectures, pipelines, LLM integrations, RAG systems, and multi-agent workflows. Operationalize generative AI and NLP solutions in production, collaborate with data engineers on infrastructure and vector databases, and champion AI-assisted coding practices. Provide technical consulting to clients, mentor teams, and advise on AI product development, modern data stacks, synthetic data, and explainable AI.

Conduct performance and non-functional testing across API, front-end, and UI applications. Gather requirements, review non-functional requirements, develop and maintain test scripts, execute tests, analyze results, identify failures and risks, and communicate findings to technical, business, client, and third-party stakeholders. The role includes performance testing against Azure infrastructure and managing multiple client projects.

Conduct business and systems analysis across digital product delivery projects. Responsibilities include mapping business processes and journeys, defining technical and non-functional requirements, maintaining traceability, writing user stories and acceptance criteria, supporting Agile ceremonies and testing, and facilitating stakeholder workshops. The role bridges business, product, architecture, engineering, and delivery teams while using data to validate assumptions and measure outcomes.

Design, develop, deploy, and monitor machine learning and AI models, including predictive models, NLP, computer vision, and generative AI solutions. Analyze and transform large datasets, build scalable data pipelines, automate ML workflows, evaluate model performance, and integrate models into production. Collaborate with technical and business stakeholders to deliver actionable insights and continuously improve AI products.

Define product vision and strategy, manage roadmaps and backlogs, prioritize features, and guide digital product delivery. Collaborate with clients, stakeholders, designers, developers, researchers, business analysts, and delivery teams. Use customer feedback, analytics, and research to make evidence-based decisions, establish success measures, lead Agile ceremonies, manage trade-offs, and drive continuous product improvement.