Nathan Wills

For an AI led start-up in London, we are currently looking for a senior AI product lead that could align well with your background. The company is building AI-powered automation for the property sector and is looking for a Product Leader to take the platform from early traction to scalable growth. They’re open to someone who has founded and built a product before, ideally with experience as a CPO or senior PM in a tech-first setting. Exposure to agentic or generative AI would be ideal, and property experience would be a strong plus. Someone who has owned end-to-end product delivery for AI-driven products, especially those involving LLMs, agentic systems, or automation workflows, would be a great fit. They should understand both the technical capabilities (how AI models are built, trained, and deployed) and the commercial implications (how to turn those capabilities into value for users). Key responsibilities: • Define and own the product roadmap to drive scalable growth. • Launch high-impact AI features such as chat, document extraction, or workflow automation. • Translate customer insights into data-driven strategy and prioritisation. • Align engineering, design, and GTM to accelerate delivery and adoption. • Refine pricing, positioning, and product-market fit as the product scales. It’s a strong opportunity for someone who blends AI product vision with startup execution. Feel free to reply with your updated CV if you feel you are a good fit for this role!

We’re looking for an AI Engineer to join a fast-moving team in London that’s transforming how property management operates. This isn’t a maintenance role it’s about taking ownership of cutting-edge AI systems from research to production. 🎯 Your first 3–6 months You’ll be driving product–market fit for an AI-driven compliance automation product. Expect hands-on model experimentation, fine-tuning, and deployment, working alongside talented Backend, Frontend, and DevOps teams already in place. 🔥 What comes next From Q1 to Q3, your scope will expand to build and productionise AI features across maintenance and lettings. By month 12, success means: • High adoption of the compliance product with measurable accuracy gains • Core models live in production with real performance impact • You taking the lead on AI direction, moving toward a leadership position within 12–18 months 💡 What you’ll bring • 2–3+ years of hands-on ML/AI experience (LLMs or NLP preferred) • Proven ability to take models from research to production • Solid Python and ML frameworks background • Top-tier academic record Bonus if you’ve worked with property data, PMS integrations, or tools like LangChain or RAG systems. 💰 Why join Competitive pay plus equity. Clear path to technical leadership. Immediate impact on the roadmap. If you feel you are a good fit for this, feel free to respond with your most up to date CV and I’ll be in touch to discuss further.

Are you passionate about building AI systems that make a real impact? Do you enjoy turning research into production-ready solutions? We are looking for an AI & ML Engineer to join a team creating advanced AI/ML applications across fraud prevention, risk management, and operational optimization. You will work on end-to-end ML workflows, including generative and agentic AI solutions, and help scale LLM deployments on GPU clusters using modern MLOps and AIOps practices. 🚀 What you’ll do:Design, develop, and deploy AI/ML applications, including RAG systems and agentic AI workflows 🤖Optimize LLM training and inference across GPU clusters using Kubernetes and AIOps tools ⚡Turn prototypes into production-ready systemsExplore and experiment with cutting-edge AI/ML methods and technologies 🔬Contribute to improving internal practices and workflows for AI operationsMaintain and support AI-related infrastructure and toolsWhat we’re looking for: Must-haves:4+ years of experience building and maintaining ML systems (PhD counts)Strong Python skills 🐍Solid Linux experience 🖥️Experience with complex computational or scientific modelingUnderstanding of MLOps, AIOps, and deploying AI systems in productionNice-to-haves:Hands-on experience with LLMs, RAG systems, or agentic AIFamiliarity with Kubernetes ecosystem (Helm, ArgoCD)Projects or experience with open-source LLM tools (vLLM, llama.cpp, open-webui)Knowledge of parallel or distributed computingExperience with UI frameworks like Streamlit or Svelte for AI prototypesBasic SQL or workflow orchestration (Airflow)

🚀 I’m supporting a Swiss AI consultancy hiring a Deputy CTO to work alongside their CTO on scaling GenAI and cloud-driven solutions for enterprise and public sector clients. You’ll shape technical strategy, lead architecture design, and support pre-sales by positioning solutions that bridge business and engineering. This is a senior, strategic role suited to someone who enjoys steering delivery, guiding teams, and engaging directly with customers. 🧠 You should bring strong technical depth in the Microsoft stack, GenAI platforms, and modern cloud architecture. Experience in consulting, start-ups, or scale-ups is a big advantage. 🌍 Remote-first setup with occasional onsite time in the Geneva region. English fluency required, French is a plus. If you’re looking for a leadership path toward CTO and want to play a key role in defining how AI solutions are built and delivered, this could be a great next step. Would you be open to a short chat to explore further?