2 of 2 Deep Learning Jobs in Bath

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle … from data preprocessing to model deployment. Duties and Responsibilities Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm … Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models. Version Control: Familiarity with version control tools such as DevOps/Git. Soft Skills: Problem Solving: Strong analytical and problem-solving skills, with More ❯

capability and skills, ensure clear team objectives, and support with successful project delivery. Skills and Experience Expert level knowledge of data science and machine learning, including a range of different techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative … variety of techniques to deliver organisational benefits Expert level knowledge of exploratory data analysis and statistical analysis of large datasets. Practitioner knowledge of Machine Learning Ops and A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such … AI for automation or new insights Working with stakeholders to prioritise data science, AI and automation projects Driving operationalisation of data science and machine learning by guiding on effective experimentation, deployment of solutions, monitoring of performance, and scaling Team leadership and development for a team of data scientists, including More ❯