Top Tech Jobs & Startup Jobs in London

Build end-to-end features for DeepL Voice across frontend and backend, focusing on real-time streaming, low-latency audio, transcript stability, and AI inference integration. Prototype and scale features in a 0-to-1 environment while collaborating closely with PMs, designers, and researchers to solve product and technical challenges.

Lead and own end-to-end development of revenue-critical full-stack systems: define problems, design architectures, make pragmatic trade-offs, deploy and ensure production reliability, and translate technical constraints into business impact. Work across backend, frontend, and infra, mentoring teams and using AI-assisted tools to accelerate delivery.

Design and implement enterprise-grade full‑stack features for DeepL's Enterprise platform, owning everything from React admin UIs to C#/.NET billing logic. Architect secure identity (SSO/SCIM/SAML), subscription and provisioning flows, ensure idempotent distributed transactions, and collaborate with Sales, Product, and Finance to deliver reliable, auditable revenue systems.

Build and own end-to-end full‑stack features: implement, test, deploy, and maintain production code. Collaborate in pair programming and code reviews, use modern tooling (including AI-assisted tools), and prioritize product-focused solutions with clean, maintainable implementation.

Design, build, and operate DeepL’s Databricks-based lakehouse and ingestion infrastructure (Kafka, dlt). Enable AI-powered data workflows via connectors and integrations, implement data observability and quality frameworks, and steward infra-as-code, CI/CD, access, security, and governance to provide a reliable, scalable data platform.

Lead research and engineering to design, implement, and deploy reinforcement learning and post-training methods that align large (multi-modal) models with human intent. Build scalable RL pipelines, run reproducible experiments from prototype to production, collaborate with engineering, ML platform, and HPC teams, and foster academic and industrial partnerships.

Drive strategic outbound SaaS sales in Italy from a London base: build pipeline via targeted outreach, qualify and demo solutions, close deals, manage CRM forecasting, pursue upsell, and collaborate with SDR, Marketing, and Product teams to meet revenue targets.

Lead and scale a technical support engineering function for a B2B SaaS product. Define strategy, grow specialist talent, modernize support workflows with automation and AI, partner with Engineering/Product/GTM, measure technical effectiveness, drive product improvements, and guide teams through growth and change.

Lead design, implementation, deployment, and operation of identity services (SSO, OIDC, SCIM, sessions). Mentor engineers, own reliability and performance, respond to incidents, set technical direction, and evolve the identity platform for scale and availability.

Lead research and engineering for multimodal and vision document-translation models. Own post-training, fine-tuning, RL-based optimization, evaluator models, and full model lifecycle from prototype to production. Build data and evaluation pipelines, mitigate reward hacking, and collaborate with engineering to deploy scalable, real-time systems.