Product Manager to help shape their go-to-market offering.You’ll be the bridge between brilliant ML engineers and demanding clients—translating GenAI potential into real-world impact. Think promptengineering, ethical considerations, and user experience rolled into one high-octane role.?? What You'll Be Doing: Own product strategy for bespoke LLM-powered tools Collaborate with engineering … leadership in AI/ML environments Experience with LLMs, GenAI APIs (OpenAI, Claude, Hugging Face, etc.) Client-facing and highly communicative—ideally with startup exposure Strong understanding of UX, prompt tuning, and AI lifecycle London-based or able to travel to Shoreditch office 2–3 days/week More ❯
sales work. We're looking for someone with: Proven experience delivering data science projects in a consultancy setting. Strong Python skills with experience in ML or GenAI (e.g. LLMs, promptengineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity More ❯
scalable AI solutions Proven Experience in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and promptengineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement – Comfortable working with both More ❯
development Experience integrating APIs and third-party tools (especially AI-driven ones) Comfortable using DevOps tools (e.g. GitHub Actions, Azure DevOps, or similar) A solid grasp of AI platforms, promptengineering, or interest in learning about AI integration in mobile Familiar with unit testing frameworks and best practices Ability to work closely with designers, engineers, and PMs in More ❯
The chance to shape entirely new markets for AI agents A team that's genuinely excited about what they're building Bonus points for: Experience with AI agent frameworks, promptengineering, or LLM applications Background in taking AI products from concept to market Familiarity with distributed systems and cloud infrastructure Previous work at high-growth AI or developer More ❯
efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations More ❯
