Top Tech Jobs & Startup Jobs

Identify and pursue UK sales opportunities, manage the full sales cycle from prospecting through closing, exceed revenue targets, build lasting client and partner relationships, conduct targeted outreach and networking, negotiate effectively, overcome objections, and adapt sales strategies based on industry trends.

Lead the EMEA Big Data Analytics and Data Insights team, managing data engineers and scientists, setting objectives, allocating resources, and conducting reviews. Transform complex data into enterprise data-layer insights, support IT projects, contribute technically, and help shape global data warehouse, data lake, and Lakehouse architecture. The role requires strong leadership, data architecture expertise, business collaboration, and approximately 10% travel.

Build and operate a shared AI platform for telecom squads. Responsibilities include developing model-serving, vector database, feature store, and prompt orchestration services; enabling self-service APIs, SDKs, and pipelines; integrating Kafka, streaming, and data lakes; managing GPU workloads and inference scaling; and supporting low-latency applications such as real-time fraud detection.

Build and integrate AI-powered features across telecommunications customer apps, call centre tools, and network operations. Develop prompt-engineering solutions and agent workflows, connect AI capabilities to APIs, mobile applications, and enterprise systems, and collaborate with agile product squads. Success is measured through feature adoption, customer experience improvements, and reduced manual effort.

Leads an EMEA data engineering and data science team, manages objectives, performance reviews, and resource allocation for IT projects. Transforms complex data into enterprise data layers, identifies insights and data quality issues, contributes as a player-coach, and helps shape data warehouse, data lake, Lakehouse, and broader system architecture.

Lead technical discovery and translate business needs into target architectures, transformation roadmaps, and delivery plans. Own technical content for RFPs, RFIs, and tenders; design demos, proofs of concept, and reference architectures; shape commercial models and estimates; advise financial-services clients on practical AI adoption and governance; bridge presales commitments into delivery; and develop reusable solution assets and enablement materials.

Design and improve reusable solution architectures for AI, data, and API applications built primarily on Azure and Databricks. Define integrations across cloud services, Databricks, internal platforms, and third-party systems. Support AI modernization, security assessments, architecture documentation, and implementation guidance while coordinating with delivery, platform, security, and business stakeholders.

Develop and maintain Java backend services and desktop applications using Spring Boot, JavaFX, and Java Swing. Build REST and SOAP integrations, implement business logic and application security, write unit tests, participate in code reviews, and support CI/CD deployments. Collaborate with business teams, analysts, and developers in an Agile environment while troubleshooting technical issues and maintaining clean, reliable code.

Build and maintain data-driven solutions for a banking client by onboarding data sources, developing reports, enhancing a SQL data warehouse, and maintaining pipelines. Integrate data from staging through data marts, ensure data quality, optimize T-SQL procedures and queries, and support legacy MS Access, text-file, and Excel environments. Collaborate with business stakeholders and cross-functional teams to deliver reliable, scalable data solutions.

Lead an information security project replacing an internally developed firewall governance solution with an off-the-shelf SaaS firewall management platform.