Top Tech Jobs & Startup Jobs in London

Own the end-to-end development of machine learning systems for recommendations, ranking, personalization, retrieval, predictive analytics, and GenAI agents. Translate ambiguous product goals into experiments, evaluation frameworks, and production features. Work with behavioral and transactional data, conduct error analysis, improve model quality, and partner with engineering teams on deployment and monitoring. Establish ML standards, experimentation practices, and reusable Python components while driving measurable business outcomes.

Own end-to-end B2B sales and revenue generation, from prospecting and discovery through demos, proposals, negotiations, closing, and handoff. Build pipeline, refine the go-to-market motion, establish CRM and forecasting discipline, develop customer and partner relationships, and create a repeatable sales playbook. Work closely with founders and product teams to sharpen positioning, improve conversion, and secure early customers or strategic partnerships.

Build and operate the platform infrastructure, backend services, pipelines, and tooling used to train, evaluate, deploy, serve, and monitor ML and GenAI systems. Improve CI/CD, testing, observability, reliability, scalability, security, performance, and cost efficiency. Establish reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases while troubleshooting production issues and supporting experimentation and customer-facing integrations.

Develop and productionize recommendation, personalization, ranking, NLP, and GenAI models. Responsibilities include data analysis, feature engineering, model evaluation, error analysis, experiment design, deployment, monitoring, and iteration. The role partners with engineering and platform teams, establishes evaluation frameworks, improves business metrics, documents methodologies, and communicates technical findings to stakeholders while ensuring privacy and regulatory compliance.