Top Tech Jobs & Startup Jobs

Design, build, and support cloud infrastructure and automation for Azure-hosted systems. Develop IaC, CI/CD pipelines, PowerShell automation, and containerized workloads (Docker, Kubernetes/AKS). Collaborate with security, networking, and development teams to troubleshoot deployments and contribute to secure, scalable cloud and AI adoption within an Agile environment.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Manage a South Africa-based editorial operations team delivering UK analytical legal, tax and exam content. Own end-to-end production scheduling, capacity planning, delivery metrics and quality controls. Drive process improvement, technology and generative AI adoption, cross-training, stakeholder collaboration and operational performance to meet commercial and deadline-driven objectives.

Hunter-focused Business Development Manager responsible for sourcing, engaging, and closing new corporate and legal clients through solution selling, demos, events, targeted campaigns, pipeline management, forecasting, and achieving revenue targets.

Design, develop, and deploy production ML and Generative AI solutions including RAG pipelines, LLM fine-tuning, prompt engineering, vector search, and model monitoring. Build scalable Python-based ML pipelines, collaborate with engineering and product teams, run experiments/A-B tests, and contribute to architecture and reliability of AI-driven features.

Build senior relationships with law firm leaders to position LexisNexis AI and workflow solutions; research prospects, lead demonstrations, tailor product solutions to legal workflows, collaborate with account teams and marketing, and drive deal progression pre- and post-sale.

Manage and grow a portfolio of B2B customer accounts through renewals, upsell/cross-sell, and proactive territory planning. Build senior stakeholder relationships, maintain accurate pipeline and CRM records, forecast revenue, and close commercial agreements while positioning LexisNexis solutions to meet customer needs.

Design, develop, and deploy production ML and generative AI solutions including RAG pipelines and LLM fine-tuning. Build scalable Python-based ML pipelines, implement model evaluation and monitoring, run experiments/A-B tests, collaborate with engineering and product, and contribute to AI system architecture.

Lead the end-to-end Customer Solutions function for ANZ, uniting pre-sales, solution design, technical training, and customer adoption. Build and manage teams, set departmental strategy and priorities, partner with Product and Sales to translate customer needs into scalable solutions, drive AI and automation adoption, and optimise customer lifecycle outcomes to improve conversion, retention, and expansion.