Job Description \n Tech Lead - MLOps | 6-Month Contract (Extension Likely) \n Hybrid: Two days on-site every other week Day Rate: Competitive, inside IR35 \n We're supporting a major organisation investing heavily in AI and Machine Learning, looking for an experienced Tech Lead to lead the delivery of production ML platforms. \n This is a leadership role, owning a product area and leading multidisciplinary teams across Software Engineering, Data Engineering, DevOps and Data Science while driving MLOps best practice. You'll need: \n \n \n 6+ years in a Tech Lead, Engineering Manager or similar leadership role. \n \n Experience leading engineering teams of 15+. \n \n Strong Python and TypeScript experience. \n \n Recent hands-on MLOps experience across the full ML life cycle. \n \n AWS experience. \n \n Knowledge of ML platforms such as SageMaker, MLflow or similar. \n \n Strong stakeholder management and technical leadership skills. \n \n This role is suited to someone with recent end-to-end MLOps experience, from model training and deployment through to monitoring and operational management, rather than a purely GenAI or LLM-focused background.
Tech Lead - AWS in London employer: Xpertise
Join a dynamic team in Glasgow as an iOS Developer, where innovation meets collaboration. We offer a supportive work culture that values professional growth and provides opportunities for skill enhancement through hands-on experience with cutting-edge technologies. Enjoy the flexibility of a contract role with the potential for extension, all while being part of a company that prioritises employee well-being and development.
