Principal Data & Applied Scientist Lead, Microsoft

• The most successful candidates will have several years of real-world experience building production ML/AI systems and applying machine learning algorithms across a breadth of modern technology platforms
• They are customer focused and practical, enjoy challenging projects and have strong analytical skills, technical aptitude, software engineering, applied research, communication skills and a collaborative work style.
• They have experience in managing teams for several years and have demonstrated great leadership
• This role requires SC Clearance as you will work with Government organisations. To obtain SC Clearance you must have a minimum 5 years continuous residency in the UK
• MS/PhD in Computer Science, EE, Statistics, Computational Linguistics or equivalent technical field
• 5+ years of experience with end-to-end ML systems in the cloud, including data processing, feature engineering and tuning of ML models in training and production, with both structured and unstructured data
• 5+ years of experience in Management and Leadership of teams with at least 10 members
• Solid understanding of common statistical and machine learning techniques, both classical machine learning and deep learning
• Broad ML experience across a variety of applications, but a deeper expertise in information retrieval and language understanding with both text and speech
• Skilled in Python ML frameworks, and at least one major programming language such as C#
• Experience with application development practices and version control systems
• Experience with working on big data pipelines and cloud solutions
• Ability to work independently and in a team, take initiative and lead engagements as required, and communicate effectively with customers and your colleagues

Desirable

• We are looking for a Data and Applied Scientist Manager with strong analytical and development skills to join our expanding team
• Building end-to-end production level ML/AI solutions
• Manage and lead a team of Applied Data Scientists
• Developing and deploying solutions with Microsoft Partners for solving business problems using machine (deep) learning and Azure data platforms,
• Applying solid software engineering and ML/AI principles,
• Providing technical subject matter expertise in OSS and Microsoft big data technologies, to support architecture design sessions, and unblock critical scenarios for our partners