Top Tech Jobs & Startup Jobs in London

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.

Owns revenue enablement programs for EMEA field teams from design through rollout, measurement, and iteration. Responsibilities include creating sales resources, implementing MEDDPICC, building certifications, managing enablement platforms, coaching sellers, partnering with GTM teams, using analytics and AI workflows, and reporting program impact through metrics such as ramp time, win rates, pipeline generation, and deal velocity.

Lead Cohere’s corporate development strategy across M&A, strategic partnerships, market expansion, and government relationships. Evaluate acquisitions and investments, lead due diligence and post-merger integration, develop market-entry and partnership frameworks, negotiate complex alliances, and create joint go-to-market strategies. The role partners closely with product, engineering, legal, finance, sales, marketing, policy, and government relations teams to support sovereign AI deployments, regulatory compliance, revenue growth, and international expansion.

Own technical relationships with enterprise and government customers across the Nordics. Design enterprise architectures, lead customer evaluations and pilots, demonstrate AI solutions, translate business needs into technical solutions, advise on best practices, gather product feedback, and collaborate with account executives, partners, Product, and Engineering teams to drive adoption and scale solutions architecture processes.

Lead private-cloud and on-premises deployments of an enterprise AI platform. Partner with customer IT teams on infrastructure, security, and data requirements; design compliant deployment strategies; troubleshoot technical issues; and deliver reliable rollouts. The role requires production Kubernetes and Helm expertise, cloud infrastructure knowledge, DevOps and CI/CD experience, customer-facing skills, French fluency, and travel of up to 20–40%.

Design, build, and deploy reliable LLM-powered agents and agentic workflows for enterprise customers. Translate ambiguous business problems into measurable AI solutions, integrate agents with tools, APIs, and sensitive data, and ship features for Cohere’s North platform. Develop evaluation frameworks for accuracy, safety, and latency; contribute to shared AI engineering standards; collaborate with customer engineering teams; and travel 20–40% for on-site customer and partner work.

Lead deployment of North product in private cloud environments, partnering with clients to assess infrastructure needs and resolving technical issues effectively.

As a Forward Deployed Engineer, you will build features for an AI platform, develop integrating solutions, lead deployments, and engage with customers.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.