Senior Machine Learning & AI Engineer in Bristol

Requirements

• Strong hands-on experience developing and deploying machine learning models in production, ideally in large-scale or cloud-native environments
• Advanced Python skills, using libraries such as NumPy, Pandas, scikit-learn, PyTorch or TensorFlow
• Solid understanding of the end-to-end ML lifecycle, including feature engineering, model selection, optimisation and evaluation
• Experience designing and delivering scalable, maintainable ML systems and production-ready pipelines
• Ability to work effectively with cross-functional teams and translate complex business needs into technical solutions
• Experience deploying ML solutions on cloud platforms (preferably GCP)
• Strong problem-solving skills with the ability to identify issues, analyse patterns and improve model performance
• Commitment to responsible AI practices, ethical data use and secure handling of information
• Experience coaching or guiding others and contributing to a knowledge-sharing culture

What the job involves

• In this role, you’ll contribute to the organisation by analysing key themes from a wide range of data sources and identifying potential impacts on the business
• You’ll work within established data management systems and processes while supporting both internal teams and external customers
• This role has a strong focus on continuous improvement, operational excellence and effective knowledge management across the organisation
• Analyse data from multiple sources to identify key themes, issues and potential business impacts
• Deliver outcomes using established data management and risk management processes, ensuring consistency and compliance
• Support customers and colleagues by providing clear guidance, tailored communication materials and informed advice based on existing procedures
• Identify process, system and security improvements, contributing to small change initiatives with guidance from senior colleagues
• Participate in strategic planning, knowledge management and team development activities, including coaching others and managing short-term objectives
• Navigate a variety of processes and precedents to interpret data, resolve issues and support decision-making