Top Tech Jobs & Startup Jobs in London

Lead requirements gathering and process design for an AI-enabled drafting system during a 6-week contract. Manage and prioritise backlog, plan sprints, facilitate scrum ceremonies, remove impediments, write Gherkin user stories, model data/application/process using UML/BPMN, and maintain stakeholder alignment to keep delivery on schedule.

Lead Nasstar's ServiceNow/ITSM platform strategy and delivery, partnering with business leaders and MSPs to drive roadmap, governance, security, upgrades, integrations, AI/automation, and operational excellence across modules and environments.

Own Databricks-centric presales: lead discovery, design Lakehouse reference architectures, run demos/POCs, produce RFPs/SOWs, and align Sales, Delivery, and Databricks partner teams to win data engineering, MLOps, and GenAI deals.

Facilitate workshops to define AI agent use cases; design, configure and deploy agents using Copilot Studio and Microsoft AI tools; integrate with Power Platform and enterprise data; test, iterate, scale and hand over solutions while enabling governance, training, and stakeholder alignment.

Drive new logo acquisition (80%) and expand existing Nasstar accounts (20%) by leading consultative Microsoft Data & AI solution sales, collaborating with Microsoft sellers, managing end-to-end sales cycles, delivering presentations/demos, and executing go-to-market and account growth strategies.

Client-facing Principal Data Engineer leading design and delivery of enterprise Databricks-based data platforms. Provide architecture leadership, mentor engineering teams, drive platform optimisation, define standards, support technical governance, and deliver across multiple consultancy engagements.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

Lead design and implementation of data governance and MDM strategies, develop policies and metadata/lineage practices, enforce data quality, deploy governance tooling, engage stakeholders, ensure regulatory compliance, and mentor team members.

Lead client-facing delivery of data, AI, and digital transformation programmes: plan, mobilise, track risks/finances, manage stakeholders and cross-functional teams, support commercial health and business development, and evolve delivery practices.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.