4 of 4 Contract Deep Learning Jobs

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 ...

through the organisation, analysis, modelling and interpretation of complex data sets. You will design and build data products using innovative Artificial Intelligence and Machine Learning techniques, delivering measurable business impact within a fast-paced, agile environment. Key Responsibilities: Quickly grasp complex business challenges and identify how data … them. Lead end-to-end delivery of complex data science projects from ideation through to deployment, monitoring and support. Develop and deploy advanced machine learning, statistical and AI models using scalable cloud platforms (e.g. Azure Machine Learning, Databricks). Ensure models are explainable, ethical and aligned with regulatory ...

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 ...