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!

Member of Technical Staff - Machine Learning Infrastructure/High Performance Inference EngineI’m working with a well-funded AI research company building the technical foundations for a new class of embodied agents and digital humans - systems designed with genuine, human-like qualities that can interact, collaborate, and form real connections with people. Their long-term aim is to scale this work into multi-agent simulations and entire societies of autonomous AI entities.As their Member of Technical Staff (ML Infrastructure), you’d design and scale the platforms that make this possible - from high-performance inference engines to distributed training pipelines and large-scale compute clusters that power intelligent, interactive AI systems. You’d work closely with researchers and product engineers to push the limits of inference performance, strengthen the foundations for agentic AI, and evolve the next generation of training and post-training pipelines.Responsibilities:Accelerate research velocity by enabling SOTA experimentation from day one.Build and optimize the full model training pipeline, including data collection, data loading, SFT, and RL.Design and optimize a high-performance inference platform leveraging both open-source and proprietary engines.Develop and scale technologies for large-scale cluster scheduling, distributed training, and high-performance AI networking.Drive engineering excellence across observability, reliability, and infrastructure performance.Partner with research and product teams to turn cutting-edge ideas into robust, production-ready systems.Qualifications:Expertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infrastructure.Proficiency with modern ML frameworks such as PyTorch, vLLM, Verl, or similar.Experience building scalable, high-performance systems used in production.Start-up mindset - adaptable, fast-moving, and high-ownership.Why This Opportunity Stands Out:Elite founding team: Engineers and researchers from MIT, Stanford, Google X, Citadel, and top AI labs.Strong funding and backing: Over $40M raised from Prosus, First Spark Ventures, Patron, and notable investors including Patrick Collison and Eric Schmidt.Serious traction: Their flagship AI companion product has already achieved significant user growth and is generating real revenue.Impact and autonomy: A flat, fast-moving environment where you’ll own critical systems and ship meaningful work within weeks.Longevity in vision: This company is not chasing quick exits - they’re deliberately building what they believe will be a historical company, with long-lasting influence on how humans and AI interact.

Head of Machine Learning – Video Generation Bay Area, Hybrid | Up to $300K + Equity We’re building next-gen video generation models and looking for a Head of ML to lead our growing research team. You’ll define research direction, drive product integration, and scale frontier visual models into production. What you’ll do:Lead and mentor a team of 5+ ML engineers and researchersSet research roadmap and strategy for video/image generation modelsGuide end-to-end development from experimentation to deploymentCollaborate with product teams to ship scalable, high-impact featuresWhat we’re looking for:Strong background in video or image generation (diffusion, transformers, or similar)Proven ability to lead and inspire ML research teamsHands-on experience building and deploying generative models in productionPassion for pushing boundaries in visual AIA chance to shape the technical vision of a frontier AI company at the cutting edge of creativity and computation.

AI Solutions Engineer / AI Solutions Manager - Visual Generative AI$150,000 - $180,000New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Manager to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.

LLM Engineer (Mid-Senior)Location: SpainSalary: €65k-€80k base + bonuses + relocation packageAbout the Company:A rapidly growing deep-tech firm creating advanced AI solutions that enhance efficiency and performance across sectors such as finance, energy, and manufacturing. Our diverse, international team thrives on collaboration and innovation. Role Overview: We are looking for an LLM Engineer to develop, refine, and deploy large language models. You will work on state-of-the-art AI projects, integrating models into products and solving complex, practical challenges.Key Responsibilities:Design and implement techniques to make LLMs more efficient, scalable, and effective.Conduct thorough evaluations and optimizations to improve model accuracy, speed, and reliability.Identify opportunities for innovation and propose creative solutions.Maintain clear documentation of experiments and outcomes; support and mentor junior engineers.Keep up to date with advances in LLM research and emerging AI technologies.Required Qualifications:Master’s or Ph.D. in AI, Computer Science, Data Science, or related field.Mid: 2+ years hands-on experience with transformer models; Senior: 5+ years including other deep learning architectures.Strong Python programming skills and experience with PyTorch, HuggingFace, and cloud/deployment tools.Solid understanding of deep learning concepts, model training, and GPU performance optimization.Excellent communication skills; fluent in English.Preferred Qualifications:Experience delivering AI solutions in industry.Spanish language skills and familiarity with large-scale cloud/HPC environments.Experience evaluating LLMs, building RAG systems, or working on other AI applications (CV, audio, signal processing).Awareness of AI ethics and best practices; DevOps/MLOps experience a plus.Perks & Benefits:Permanent contract with performance bonus and signing bonusPrivate health coverage, relocation and visa support if neededFlexible hours, hybrid work, educational budget, language classesCareer growth opportunities and collaborative work culture

Opportunity to drive the development of cutting-edge quantum microscopes usable and powerful for customers. Team Lead – Quantum Sensing Platform  Salary: €90,000 - €120,000 + VSOPs Location: Munich + hybrid flexibility (1–2 days/week) This role combines technical leadership, product ownership, and team coordination, turning complex hardware into a seamless user experience. You will lead a small software team, oversee delivery of the control and visualization platform, and collaborate with hardware engineers, scientists, and the software architect. The ideal candidate has a strong background in software product development (5+ years), including at least 2 years in a leadership or product ownership role, ideally within microscopy, semiconductor, or medical device environments. We’re looking for someone who understands how to own software delivery, guide a cross-functional team, and balance flexibility (60%) with structure and process (40%). While experience in domains such as real-time systems, multi-sensor technology, or hardware integration is a plus, hands-on coding is not the main focus. Ownership and Direction are.

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)