Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
Smile Digital Talent Ltd
the ability to balance research innovation and commercial value delivery. Comfortable operating across cloud environments (GCP, Azure, AWS) and deploying AI/ML systems at scale. Strong knowledge of MLOps practices and infrastructure including CI/CD, model versioning, orchestration, and monitoring. A collaborative and inspiring leader who brings out the best in technical teams and communicates complex concepts to More ❯
or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from you More ❯
covers the full spectrum of Artificial Intelligence and Machine Learning expertise - from cutting-edge research to scalable infrastructure deployment. It includes academic-leaning AI researchers, production-grade ML engineers, MLOps experts who bridge the gap between models and systems, and cloud infrastructure professionals who build the backbone these technologies run on. We specialise in connecting innovative companies with the talent More ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Ascent Sourcing Ltd
in real-world applications. Solid understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience with DevOps/MLOps, including deploying and monitoring ML pipelines. Decent React.js experience to support front-end integration and prototyping. Good understanding of audio protocols (e.g., WebRTC, SIP, RTP). Preferred (Bonus) Skills Production … Contributing to backend and front-end components for real-time, interactive applications. Collaborating closely with product and infrastructure teams to ship impactful features. Driving clean and reliable deployments with MLOps best practices. More ❯
