4 of 4 Apprenticeship AI Jobs in Crawley

science techniques to recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models ...

aligned to Opportunity to develop creative and bespoke software solutions Organisational skills with well-rounded communication and relationship building abilities Digital Technologies such as Artificial Intelligence and Data Analytics Training Throughout the apprenticeship, you will gain experience and knowledge in: Professional engineering behaviours and industry best practice Understanding and working ...

Working alongside AI researchers, engineers and domain specialists, you will support research and experimentation on live projects, translating questions into evidence-based findings, prototypes and recommendations. Role Reviewing technical literature and summarising relevant methods and evidence Designing controlled experiments and defining clear evaluation criteria Preparing data and developing proof … model, combining: Live virtual lecturers Online learning resources Self-directed learning activities After the apprenticeship you will role off into the business as an AI Researcher. Apprenticeship Standard Machine learning engineer (level 6) Training Provider CORNDEL LIMITED Working Week Flexible Working Monday - Thursday, 8 hours per day Friday, 5 hours ...

Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Role Preparing, exploring and validating data for machine learning use cases Developing and evaluating machine … Training You will study towards a Level 6 AI Engineer apprenticeship with QA, developing the knowledge, skills and behaviours required to build and apply artificial intelligence responsibly in an engineering environment. The programme is delivered through a virtual learning model, combining: Live virtual lectures (28 days) Online learning resources Self ...