AI Engineer

Haystack

ML EngineerseniorLondon, England, UKonsitefulltimeTechnology, Information and InternetPythonFastAPIComputer VisionObject DetectionImage ClassificationAzure AILLMsMLOpsposted 27 Jul
Unlock apply linkApply links and the original listing are a Pro feature: £4.99/mo or £25 once.
Our client is at the forefront of innovation, building the most advanced AI platform in their market to empower clients with unmatched speed and accuracy. Over the years, they've demonstrated a strong commitment to cutting-edge technology by heavily investing in their ML stack, partnering with leading universities, and training models on millions of expertly tagged images. As they expand globally, they are seeking a visionary leader to push the boundaries of computer vision, video analysis, and multimodal LLMs, solving real-world challenges. The Role * Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) * Fine-tune, evaluate, and productionise multi-modal LLMs for business applications * Drive experimentation and prototyping of advanced ML/AI techniques * Provide technical direction, mentoring, and hands-on guidance to the data science team * Work with engineering, product, and business stakeholders to align ML strategy with business goals * Architect and productionise end-to-end ML pipelines on Azure, ensuring scalability, reproducibility, and monitoring of deployed models What You'll Need * Strong, current Python skills, including building and maintaining production services with frameworks like FastAPI * Solid machine learning and computer vision background, with a track record of deploying real models to production * Hands-on experience with computer vision training and labeling toolchains (e.g., Roboflow), including dataset management and model evaluation * Experience with Azure AI services (e.g., Azure AI Foundry, Azure OpenAI) or equivalent cloud AI stacks with an ability to adapt quickly * Practical understanding of working in regulated or compliance-sensitive environments, including data residency, de-identification, model governance, and auditability * Strong judgment in scoping problems and determining when a model is ready for deployment What's On Offer * Opportunity to work on a cutting-edge AI platform * Collaborative environment with leading experts * Chance to influence the future of AI technology * Professional development and growth opportunities Apply via Haystack today!