4 of 4 Contract Deep Learning Jobs in England

Description:- We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products. Key Responsibilities:- Design, develop, and optimize … machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model training workflows. Deploy models into production and monitor ...

pharmaceutical company on a fully remote, outside IR35 contract, as an AI Engineer. The key skills required for this AI Engineer role are: AI Deep learning Python Computer vision If you do have the relevant experience for this remote, outside IR35 AI Engineer vacancy, please do apply. ...

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With … sales from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal ...

predictive models, and partner with cross-functional stakeholders to drive strategic decision-making. You will work with large datasets, apply advanced statistical and machine learning techniques, and help shape data-driven initiatives across the organization. Key Responsibilities Collect, clean, and analyze structured and unstructured datasets from multiple sources Develop … deploy predictive models and machine learning algorithms Design and conduct experiments (A/B testing, hypothesis testing) to inform product and business decisions Build data pipelines and automate workflows in collaboration with data engineering teams Communicate insights and recommendations clearly to technical and non-technical stakeholders Develop dashboards, visualizations ...